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Author Topic: Monero "BADCACA" - XMR Tracking Project (with user's porn preferences)  (Read 9497 times)
monero_badcaca (OP)
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November 12, 2020, 08:39:39 AM
 #21

Monero lost its reputation a very long time ago. Just imagine people having your IP addresses along with which sites you visited or where specifically you purchased something is quite frightening for those that thought they were dealing with a privacy based coin. I checked the link (https://monero-badcaca.net/) it does not look good for Monero as a privacy coin and it does not look good for those 100 user details that will be published daily  Shocked

I'm posting the daily report in Monero topic until they start moderating it.
"If you don't want people to know you're a scumbag then don't be a scumbag." -- margaritahuyan
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November 12, 2020, 08:56:10 AM
 #22


TLDR: Monero was never a real privacy coin. Multiple problems that Ciphertrace is currently exploiting were reported to Monero project in 2016 and remain unfixed since. To draw attention to the issue I will publish transactions, IP addresses and porn preferences of 100 "lucky" Monero users every day.

Quote
I have been logging Monero transactions for over a year now. Main reason why I decided to go public are blatant lies that there is nothing to worry about Chiphertrace and that Monero is private. If you are prepared to sit though an 8 hour lecture on how broken Monero is, you will see that even they admit it. However that's obviously a small percentage of people they sell Monero to.

Have more questions? Have a look at the FAQ page on BADCACA website.

Check today's 100 users who thought Monero is private on BADCACA!



You're right!

Monero has an old core!

You need to improve yourself to achieve what your community expects.

Before it is too late...
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November 12, 2020, 03:13:21 PM
Last edit: November 12, 2020, 03:54:00 PM by Sat0shisGhost
 #23

I'll be the first to say it. BADCACA's data is not "just dumb FUD". I looked through the data and there's definitely some authentically traced transactions in there.
I understand that he's disgruntled because people haven't taken him seriously for years (despite some of the stuff he has published being correct) but this is not the right way to go about publicizing this data.


Quote
If your tansaction is waiting for a few minutes in the mempool, badcaca node got it.
Why can you only catch transactions that were waiting for a few minutes in mempool? Admittedly I don't know a whole lot about dandelion but I would think you're just recording the first node to broadcast a TX here.
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November 12, 2020, 05:48:44 PM
 #24

his is not the right way to go about publicizing this data.

Why not? They have already shown they are prepared to lie about it.

Why can you only catch transactions that were waiting for a few minutes in mempool? Admittedly I don't know a whole lot about dandelion but I would think you're just recording the first node to broadcast a TX here.

You are confusing cause and effect here. Transaction sitting in node's mempool is caused by it being intercepted and then rebroadcast.
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November 12, 2020, 06:04:26 PM
Merited by monero_badcaca (1)
 #25

his is not the right way to go about publicizing this data.

Why not? They have already shown they are prepared to lie about it.

...

You are confusing cause and effect here. Transaction sitting in node's mempool is caused by it being intercepted and then rebroadcast.

With regards to indiscriminately publicizing the data, I worry that there might be some innocent people getting caught in the crossfire here (people who aren't sophisticated enough to evaluate your data and are simply trying to protect their privacy). I don't have any problem with publicly disclosing transactions related to certain criminal activities. Furthermore, I think publishing data on transactions that are in the public interest might draw attention to your research.

But for all we know there are whistleblowers buying VPNs or domains, and you're putting out IP address data which could be used in combination with other methods to identify those people.

With regards to the mempool:
I think we might be talking about different mempools? I meant the public transaction mempool and I would assume that you don't have 100% coverage of these transactions:
  Do you mean the like my local node's mempool?

Are you saying if you intercept a transaction then it won't appear in the public tx mempool for a couple minutes?
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November 12, 2020, 06:57:05 PM
 #26

But for all we know there are whistleblowers buying VPNs or domains, and you're putting out IP address data which could be used in combination with other methods to identify those people.

This argument can be very easily turned around. For people like that, isn't it better to know they have been exposed? Monero is perfectly happy for them to be tracked by Ciphertrace while reassuring them that all is fine.

I think we might be talking about different mempools? I meant the public transaction mempool

There is no such thing as a public mempool on a p2p network level. What you are seeing on the website is a snapshot of one node's mempool. The way dandelion++ works is that the transaction will be put into the original node's mempool, broadcast in stem phase, and if the node doesn't see it again, it will be broadcast in fluff phase. The "not seeing it again" part is the cause of the delay.
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November 12, 2020, 07:49:23 PM
 #27



This argument can be very easily turned around. For people like that, isn't it better to know they have been exposed? Monero is perfectly happy for them to be tracked by Ciphertrace while reassuring them that all is fine.

You've convinced me that IP addresses for a significant chunk of Monero TXs have been compromised but right now that data is silo'd in ciphertrace/chainalysis/Fourteen Eyes servers (and yours). I realize you were able to code this up mostly on your own but I think you'd be surprised at how far behind the intelligence agencies of most countries are so some Turkish or Azeri or Libyan dissidents or something could easily be affected by this (that being said, it is possible ciphertrace is selling it to Turkey through Cellebrite).

I think most people aren't knowledgeable enough to authenticate your data and are assuming it's FUD. If you want to quickly get the word out, an easy way might be to contact a reputable journalist and demonstrate it to them by revealing their own IP address (I'm happy to help you with this).


There is no such thing as a public mempool on a p2p network level. What you are seeing on the website is a snapshot of one node's mempool. The way dandelion++ works is that the transaction will be put into the original node's mempool, broadcast in stem phase, and if the node doesn't see it again, it will be broadcast in fluff phase. The "not seeing it again" part is the cause of the delay.

Interesting thanks for the clarification. I'm not particularly familiar with dandelion++. Does the original node broadcast the transaction to multiple nodes in the stem phase or just to one other node? What determines when the fluff phase occurs?
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November 12, 2020, 08:05:58 PM
 #28


they waited this long to uncover the so called truth of monero?

so why the hell IRS will need someone to crack and finally trace monero transaction when they can hire Ciphertrace. and of all transactions the side only sees porn?  are Ciphertrace porn lovers too? but thanks for the fud, because finally at least some of privacy concern users are going to grab some of XMR while it dips.









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happen or be a part of it"
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nullius
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November 13, 2020, 05:55:37 AM
 #29

Dandelion++, its strengths, and its limitations are of interest not only to Monero users.  For I am surely not the only one who wishes to see Dandelion++ implemented in Bitcoin Core, if it can be done without opening mempool DOS vectors.  (This was the reason for the rejection of BIP 156 for the inferior Dandelion; IIUC, the worst DOS concerns involve interactions between Dandelion (or Dandelion++) and Bitcoin features that don’t exist in Monero.)

This is primarily a technical post; but first things first...

Monero lost its reputation a very long time ago. Just imagine people having your IP addresses along with which sites you visited or where specifically you purchased something is quite frightening for those that thought they were dealing with a privacy based coin. I checked the link (https://monero-badcaca.net/) it does not look good for Monero as a privacy coin and it does not look good for those 100 user details that will be published daily  Shocked

I'm posting the daily report in Monero topic until they start moderating it.

Hey, JollyGood, you have a reputation for fighting spam and forum abuse.  What do you think of badcaca’s overt bragging that he wants to use abusive tactics instead of technical arguments?



I need not remark on the security ignorance and technical ineptitude of the forum’s Timothy Leary.  Roll Eyes



But for all we know there are whistleblowers buying VPNs or domains, and you're putting out IP address data which could be used in combination with other methods to identify those people.

This argument can be very easily turned around. For people like that, isn't it better to know they have been exposed? Monero is perfectly happy for them to be tracked by Ciphertrace while reassuring them that all is fine.

Oh, spare us your liar’s false pretense of concern for the privacy of users!

If you actually gave a damn about that, then you would disclose in detail what you claim to be doing so that (a) others could evaluate it on its technical merits, and (b) the alleged vulnerability (if any) could be fixed so as to protect privacy.

Of course, that would presume that you actually have a low-resource way to break Dandelion++.  (It does not even claim to protect against AS-level adversaries, let alone global adversaries.)  At this point, I am pretty sure that you have only bullshit—such as your incessantly repeated deliberate conflation of network-layer attacks against Dandelion++, and Ciphertrace’s (much more credible) claim to have developed probabilistic transaction clustering from blockchain analysis.  I do think that the Monero community should pay more heed to the latter; but those are completely different threat levels!



Interesting thanks for the clarification. I'm not particularly familiar with dandelion++. Does the original node broadcast the transaction to multiple nodes in the stem phase or just to one other node? What determines when the fluff phase occurs?

I suggest reading the paper.
Having read the actual Dandelion++ paper when it came out, I can safely call this ridiculous.

I already answered this—twice:

My first thought is, “Whose IP addresses are those supposed to be?  The originating nodes’?  Contra what it says in the badcaca FAQ, Dandelion++ would make it easy to mistake the IP address of the originating node.
It is exactly the type of technology which will make badcaca associate transactions with the wrong IP address.


I'll be the first to say it. BADCACA's data is not "just dumb FUD". I looked through the data and there's definitely some authentically traced transactions in there.

A stopped clock is right at “some” moments of the day.

Of course, if he lists a randomly selected peer IP that handled a transaction in the Dandelion++ stem phase, then that IP will sometimes be the actual originating peer.  That is the point of “random”.  “However, the protocol also ensures that the first relay node to broadcast is approximately uniformly selected among all relays that have received the message.”  See below.


You are confusing cause and effect here. Transaction sitting in node's mempool is caused by it being intercepted and then rebroadcast.
There is no such thing as a public mempool on a p2p network level. What you are seeing on the website is a snapshot of one node's mempool. The way dandelion++ works is that the transaction will be put into the original node's mempool, broadcast in stem phase, and if the node doesn't see it again, it will be broadcast in fluff phase. The "not seeing it again" part is the cause of the delay.

Based on a reasonable inference of what you seem to be suggesting that you are trying to do:  The Dandelion++ authors were way ahead of you.  That is an admittedly low standard, because you don’t know what the hell you are doing.  You are listing the IP addresses of random peers, exactly as I said!

§4.4 at p. 17 of the Dandelion++ paper speaks thusly:



If you claim to be defeating Dandelion++’s random timers, then please show your work with maths and stuff.  (LOL, as if.)


Transplanted from the Monero thread, with appropriate context restored to the internal quotation:
Among other things, AES is broken!!  Shocked

Do you think Vincent Rijmen exploded with anger when AES was broken? No, he congratulated the authors.

Say what!?  When was AES broken?  Roll Eyes

(Just a guess:  If you are talking about related-key cryptanalysis, then you are mentally retarded and you know nothing about cryptography.)

I dearly wish that Monero were exactly as “broken” as AES!

Yes it is, Monero community members have a tendency to spew uneducated bullshit. https://link.springer.com/chapter/10.1007%2F978-3-319-19962-7_3

You idiot, the biclique attack does not mean that AES is “broken”.  I guessed the related-key attack, because in some versions, that would have much lower time complexity (it just requires, um, related keys).

All that you need to do is to read the abstract of the paper that you cited.  You don’t even need to hop over to Sci-Hub and enter the DOI (https://doi.org/10.1007/978-3-319-19962-7_3) to read the full paper.  Just at least read the abstract!

Quote from: Tao B., Wu H. (2015) Improving the Biclique Cryptanalysis of AES.
Biclique attack is currently the only key-recovery attack on the full AES with a single key....  We have a biclique attack on each of the following AES versions:

  • AES-128 with time complexity 2126.13 and data complexity 256,
  • AES-128 with time complexity 2126.01 and data complexity 272,
  • AES-192 with time complexity 2189.91 and data complexity 248, and
  • AES-256 with time complexity 2254.27 and data complexity 240.

Our results have the best time complexities among all the existing key-recovery attacks with data less than the entire code book.

Yup:
I dearly wish that Monero were exactly as “broken” as AES!

Break in cryptography is anything faster than a brute force search; it doesn't matter that it takes down security from 2^128 to 2^126 (and is therefore only theoretical), it doesn't even matter if it is a known-plaintext key recovery attack. There is no need to call people names just because you don't know what you are talking about (like most people in Monero btw)

There is a need to call you a liar (in addition to an idiot), when you are using the classic dishonest debate tactic of switching back and forth between two different senses of the same word—in this case, different senses (by orders of magnitude) of a cryptanalytical “break”.

You claim to have broken Monero’s privacy in some significant, practical way.  Your website’s FAQ insinuates that this is comparable to how AES is “broken”.  For the third time:

I dearly wish that Monero were exactly as “broken” as AES!

By the way, I am not “in Monero”.  I am a Bitcoiner and a lifelong privacy fanatic, who sometimes uses both Monero and Zcash.  FYI.  I am on this thread just because I hate stupidity.


Note:  I have not reviewed the code of Monero’s Dandelion++ implementation.  But I am pretty sure that the people who wrote and reviewed that code would not have omitted the aforesaid random clocks, without which Dandelion++ would be trivial for any s’kiddie-tier retard to defeat.

Quote from: the Dandelion++ paper, a minor detail which it seems *nobody* here has bothered
the memorylessness of the exponential clocks

P.S., monero_badcaca, would you please apply your superb grasp of statistics to a gambling method, and gamble using my reflink?  Thanks.  Fallacies can be profitable!

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November 13, 2020, 08:45:05 AM
 #30

<snip>

By the way, I am not “in Monero”.  I am a Bitcoiner and a lifelong privacy fanatic, who sometimes uses both Monero and Zcash.  FYI.  I am on this thread just because I hate stupidity.

<snip>

I know investing can be difficult for some people, they invest more than they are willing to lose and can become emotionally involved in the projects they back. Maybe you should consider analyzing your position, frankly and without emotion, and move on.

You meritless idiot, with your asinine assumptions and corrupt insinuations.

It is none of your business, but for the record:  At this particular moment, I have exactly 0.00000000 XMR.  I don’t even know what the XMR market price is right now—nor do I care.  I usually have more ZEC than I have XMR, and I have had rude comments made to me about that by some few less-intelligent members of the Monero community.  Anyway, what I HoDL is Bitcoin—which is doing quite well, in case you did not notice.  “There is only one Bitcoin,” as I have stated in either my signature or my personal text since I was at Newbie rank on this forum.

My post offered significant technical arguments.  Your reply suggests that you are only here to shill for your preferred shitcoin, and you are projecting your own greedy mindset onto others.

Do you have any substantive, intelligent reply?  Or do you need for me to ask you to translate “xитpoвыeбaнный” and apply it to yourself?

P.S., newbie protip:  As a matter of forum etiquette, please trim your quotes so as to provide adequate context, whilst focusing on the portion to which you replied.  (Since you did not reply to anything that I said, that may not apply here.)

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November 13, 2020, 11:31:12 AM
 #31

@nullius All the insults in the world won't make the IP leak disappear. Your own cult leaders admit it is possible : https://www.monerooutreach.org/breaking-monero/ Who are you to question them?

Monero BADCACA sybil attack is still here, despite the claims that it has been fixed. If your tansaction is waiting for a few minutes in the mempool, badcaca node got it.

Here is 100 Monero users who trusted in its privacy yesterday, are you on that list?:

TxidIP AddressCityFavourite porn
9f6576085035c9b90442acc3bfe15290e78decc9b52f2c894451aa1bef646604157.97.122.xxxIztacalco, Mexicochild
8d4c0ffec535a5c87f5e0a94678c981f4815d1865749a3fc18c0af39f1f4dca185.248.227.xxxSala, Slovakiaincest
a3ee60c3d937d090b382d2ae037c8f97e1f5252ee6c6fc6d551eb9fea636b69d85.153.201.xxxIstanbul, Turkeyincest
e6bd1f143c87a4df097bf8e6ac37d2f476bb3b1d7937ce2d52009c6dcdf5de55185.245.84.xxxCopenhagen, Denmarkincest
7b83600e37f84fa8994a655b144017d686d686ec96642635916681dd9a4eaef2185.93.182.xxxMadrid, Spainincest
04114754f4285b95333f511cad48f7e04e5e44d908ba2e7068aaed3d92459b80167.88.7.xxxChicago, USAteen
0267ce6913209441ed83e2cd3caa3441948a463700cf98e19af47372d27de3845.180.62.xxxMuenster, Germanyteen
93c67e8194a0693643942675935ddcc8b9b3e90b248185aa42cb9d542161705a89.46.114.xxxLos Angeles, USAteen
0e1a2507f69edc78ac1efb95bf031a3b7e7df0e187880f156830425551a4360c67.86.147.xxxSayreville, USAteen
2ef2ca68ff151a6a2c11a26a6006971c6e5f5858a7b89cb45a1f4365ed8bdfaa95.153.31.xxxWashington, USAinterracial
76734832b2aba9ece57417e9bfc641f6d19c54e80329f48f3e23c812a98e6b16176.37.87.xxxKiev, Ukraineinterracial
bc84a07732020216fa5b734fe409913faa1ed9bc87b6ecee713fa07ff550536084.106.194.xxxHeiloo, Netherlands
cdf88b9fa25db08f8edd63ed6f0b92983f832982b185b706b3a263554d77221d76.28.178.xxxBellingham, USA
f75594e4673a599bbb02d5db4e580f1d8ec56090ce5d268a96a0c5ba86779b5d76.10.138.xxxMississauga, Canada
f059c10fdf47f4a4c7ce2f55f047c079541b05069c609a5c0f47f1088cff0d9c122.116.59.xxxTaipei, Taiwan
fb7a01e4745aa923667bb08e25f99fa2106e9224f3e3db36360259155087b6d277.35.132.xxxVladivostok, Russia
570aca820bd83282021157f20ef217b0ef7b64bceddfb99f8b7953ff0b39f54747.190.133.xxxDallas, USA
693aacab1c4b96c6578cd85e4bc8b08a396e30367ed60f666ac9307694a16d2f204.27.63.xxxKansas City, USA
d2779355371ed9863df5420a350a1b9b64d4e9a64d57ad4ea9a93d378ce6480e194.193.34.xxxCanberra, Australia
f0cf6f3a4b843cc72a677c90182c0c571c753042527a412060d7e8fe2be5a904178.190.146.xxxGraz, Austria
630eaa023c80e8cb943dcd489f5e62e0d4a3e68a9c3472a29942b4e5237190f380.100.47.xxxApeldoorn, Netherlands
bcff575f9027370c9943f48b70fad7b71972767b32cf90a7c1989422b7030f0186.48.96.xxxGlostrup, Denmark
24b9a1237c378714b91597c6b0e172842f001045d28044d4fddfee028942f979174.219.20.xxxChaska, USA
39fbcc79b0ea93c887833668097f6c562bea60e8fff398c12d40e2e9ae15a44d93.176.153.xxxMadrid, Spain
e3f24d067f6e354fc5b787a11dc16fd861ebf9e6f0bcee5dbaa32f85d3d851da37.201.168.xxxMuenster, Germany
c0a213e9ac915e0f907e88bc9c7f1f1ff9101841be586250406046fa4f338ea387.78.170.xxxDusseldorf, Germany
20a3e72a9b77af8f57b49a085258adb0eb1fde51527af2daadc0e9e264f517ea187.24.147.xxxCuiaba, Brazil
ce896a091e43fdd5541d9bfd1dda15abefa3ab2f781b24ccd5b3ca0ad5130e4646.32.53.xxxSonderborg, Denmark
2441435ee5400cd49281b8432bd63791ae453798f0036282bcbdf4dc0d574851173.22.146.xxxColumbia, USA
ca62223a8f1b3f1b1e2d5daf35605d705d92d44aadd9d17f8a792438389c4e38109.60.37.xxxZagreb, Croatia
bfc2bcf5cea6709b3fe648a37e259bea656c453990db42ca5a4cdea1828f5012185.203.122.xxxChennai, India
60711763986f839ba3eda23d4999fcc4eabbfd15a1e4b395e4ceb80e797e518286.43.118.xxxNavan, Ireland
5ed0c7eb33b808c1f97b42879729a514709b38ae36bca9c22f8f12fd109bad26167.88.23.xxxToronto, Canada
641500ae20653f8dfeeed15ac0066dd24685d5ac08740b7c6c2ddb6cd1b5a5df109.230.30.xxxBratislava, Slovakia
3d9cdba3dbccec1c7fa42c626f1e743718d0584fde3c6e7c985ab12e0e5d7faa83.84.57.xxxZwolle, Netherlands
db2c3bdfaa0225ddb1564f16583e44f5d7466e8808aa57f2fc18919bf2da8f2e113.196.66.xxxTaipei, Taiwan
5495efc1b68c5d5d3bca7043dd415dd8e9faa0dbd3e97dbf242557dbbce462f4118.208.10.xxxWoorim, Australia
fe140f9280338dc2c779412a36c7dd0d31854a9710bbca76659137f1b226141298.200.198.xxxHouston, USA
86d0aa647a8d8989aadc2a4cd1887d96efee2dc430088fa2dfdaa61c00abfad799.145.235.xxxSan Diego, USA
0649065885241559491b76abde62d0b543ef543af67a7c645d1e7ed2b980856158.111.232.xxxSydney, Australia
4dfc63cf74589ecaa2f4df98964a07b3835f48f07dfc0c638bbf112890c4bb93111.70.8.xxxTaipei, Taiwan
808d6b3b0e6917d8171e60b8cb94b35f274ff632d5b226510f9778746bb9b69d77.101.130.xxxNorth Shields, United Kingdom
553043c957a894e4c00ff25c0f4d1978ce035fcce1192ff798722b5b78423311192.226.150.xxxMontreal, Canada
307ca8eea9f6e785f9da062c89f6d92cbf7ec327fb59cd3189047566e4cfd2f671.62.171.xxxArlington, USA
127d7511f5567862c9ddbf245ee64d5ceee8c9a0b37ed1ff0de0ea15154b60ea82.194.156.xxxSalzburg, Austria
dc66e308127c83e2703310923e74c26b8817fbe94b5887c5c5ee291b704cbd5a73.14.93.xxxParker, USA
327d76dfaf518922f730a15ee2197a693c8bc314898e3acc7175e11137bea98e73.77.178.xxxSugar Land, USA
c61501d4074ffa2803cbbeb68354c32dfa2cea22bc8ba2760e9cb3be7b445ee024.78.33.xxxWinnipeg, Canada
39fe22e13a41b959184c1742ca448f5a017841b2f86bec7bf6a3cd09352d0b6194.224.216.xxxGalmaarden, Belgium
f914e9164f4fc02b561111ac206dae2a6c6d9c4cc72d6d0c0102e548368cce1998.128.185.xxxStockholm, Sweden
cc8f45e6f0cdeaf62bca6a90bfa1ff8354115e64abeba06e1b46956bc6d7cba959.61.100.xxxFuqing, China
1a8872ff244d763ae62269ae4954ce4de604447b2f951a2c450fccd4ea90d07b82.45.6.xxxBirmingham, United Kingdom
3d82d78907109fa72a32ff3fba7f1b6d2f5d99d74a73921e851ba01387b07649108.196.200.xxxCupertino, USA
c83f2cd87afc65eecaf5ba1950728d1a2de3a2a8b0295ab93062bf893703ba4c108.168.103.xxxToronto, Canada
12baa70ed2b6952ee160866d37bc6e9e475a00dc6a4cd7a3479b6c1e4ee8ebb7101.71.195.xxxHangzhou, China
c471a1939bd1677ba05f6633e3377cdaa6c8054eaaea1a39324741f10c7de8b881.2.95.xxxBracknell, United Kingdom
0a14bdd49c4da0fb7941574144352e6030f257945b67054046d0eeb4405dd22a193.80.6.xxxKirchschlag, Austria
df325f66dd6aaff2ecd55b76a8626935cc4e13eb210d89007d32d6aac705cac258.182.176.xxxSingapore, Singapore
c7a53b80b047b432c92334dfc9547e47ee4741cdb1e9e43d936b50fb8361ab0175.82.205.xxxLos Angeles, USA
e0d44395471cdb72dc5762941a51f7298098f2070c69cbcc368a12a6df1157ae188.22.228.xxxMaria Enzersdorf, Austria
74f7b922b64b82369b19e072aeb4ec04e0e4405c39e715d7ecd60495d052030f24.121.207.xxxFlagstaff, USA
9a341b51b73735687caa6a24628f13bce775fc74b079f9c108afa564ef63a2db79.208.39.xxxAllee, Germany
4454b6d848ded1a8986503624d90392951c004a56aef3a6a8efc4c7448668965217.138.197.xxxMilan, Italy
0da009e8b89c72af4cbcd339100eacba1d7e76fa8132a56466da489a9d66156397.127.54.xxxPlymouth, USA
48bf621547809eb1dea09b33cfcebcaeebdefc21987522e8baed4f1001e1b998211.250.82.xxxSeoul, Korea (Republic of)
75b0dd25559ee5f12ca5acfe58251d6de9761a3ce7098a7332db7d7092f5789f80.101.35.xxxBergen op Zoom, Netherlands
b3201fdc3775f977922d264ee2656e1f126c5b1922228a1a7c88d3963933bfbb27.33.196.xxxSydney, Australia
1828621ab968917d88b156382738adbfa509c2e56ea4e5c66eee7bfec47c333424.8.128.xxxCherry Hill, USA
1233a7d1c3071deba49d6c5c4679bfcd2a7c37f5271d958b0ab26128196c450461.186.25.xxxHaikou, China
8de20fa6b1033dab5570f77bbf51d16c59b2107414a1a5935335cee8d139379982.181.172.xxxVantaa, Finland
5b95f80d20a5b38b8644cb190a88178b12a03d1d1027d738f962e2c86445a5dc31.179.127.xxxKrakow, Poland
cd22bc505ba7ce64756d0aac867a3508d07a8b6731a17795ee6f0e0a6073827731.179.127.xxxKrakow, Poland
0b9c9df5e76b808670b7dc80ca596f260651d7220b186f9ed572a7cfdab39495182.43.181.xxxDezhou, China
599552f3a5e2a2c8c798abb4cdc85e7325fedac0fd5561ee0d050361bb405db8188.151.202.xxxStockholm, Sweden
56700d082889facea061e1c6d04e4daa74810b8e5c85ea1ccb477911e79cbdf5164.70.176.xxxTokyo, Japan
a74c9d54c3bca62f36f8c05235d17b581ff813201469dbb2e39f40bbb996539c164.70.176.xxxTokyo, Japan
84f35e11ee85134fd04beb85991610a71f4aa461955806dc8ac103be07dc7f05209.93.61.xxxLondon, United Kingdom
0f96b80d8f912b57c209e03f9b0b6588dfcba6575974b31e68090d137c1dafa486.106.90.xxxMontreal, Canada
73e4a7454608b297b4999cbf44019ab627c539dfaaee481f86c3aa69bfb3fd03172.116.56.xxxSanta Monica, USA
8ef378d28af740a11173be3becd8efa879fe0ab79c8b6a51c331cc16a4fbe88a172.116.56.xxxSanta Monica, USA
ca3a648cd4b2b5614a21827ceddb446d6390afa016f6fdcf60ea0424f73163a9213.250.21.xxxLjubljana, Slovenia
9a8e5203fb238c7f27ec455e6e5bc583bcce008ebb820380fec17fdfbb80a32c213.250.21.xxxLjubljana, Slovenia
71b621b2024b36c11291c0879827f424a5bbd70b4aa01fd16868252ab58f796437.24.1.xxxDusseldorf, Germany
3184d0195f19aa406898b7802da5b320245493dcb905d19768de6c8b7bfa4a2795.165.104.xxxMoscow, Russia
913784878993aa1cda4478d420a0c680c283b558f7a3bf63b41157a0c027a5e283.161.147.xxxAlmere Stad, Netherlands
9f9d9ee8cd0925642bcb60ce436cbe9863c356f961bc168811a1fa476c92e3d981.100.197.xxxLondon, United Kingdom
9271301c103ab6c5cb5b05222504b7c7f5f70a7ab167f63f83770491f386ff2a81.100.197.xxxLondon, United Kingdom
50ea42ba20ff19868dcd98704f6c3245d7569f2b253df30c9b7af9c925259c29185.192.69.xxxLondon, United Kingdom
49905a25937d00e3d6cbb7042528b8ba26b50681e2848a1df64506a98ccb2f8b24.168.121.xxxNew York City, USA
08b3ad7cb01586f050886fd2f1feff13b351cc079edf26fab44ec0506466fc5c66.177.85.xxxJacksonville, USA
ff96c96e4f8b281e97a68db7507acafd1e4788d49ff9c50c191687b10a028f5f180.101.140.xxxSuzhou, China
c49bdde080d8ea6f45295ff83af4d1c2a838e34d851f55c9dd2924c14eadb7d7180.101.140.xxxSuzhou, China
fe449d5d095e11300105e9b4ea0fbb5fbccc052276cb76d6d3bb955d13ffa8f885.241.106.xxxLisbon, Portugal
0507722d6991e5facbc85875eb3d7a9fd4aa67e1f3560fffe71677e89946b0f485.241.106.xxxLisbon, Portugal
8fc38f094116b8baec11e5dbe39c9fd0e3a52998222edf53a7a17115c66aa1cc47.149.111.xxxSan Bernardino, USA
93c740999e2a9cfb60563d12568c72db9b67cba15c3acbc3927806484e2c980f73.131.106.xxxCharleston, USA
74f673e588a293eae4d27102158c5374e4b8aa02482fb371beadef4370c4f47983.85.97.xxxRotterdam, Netherlands
76fd2e68f75cbb378500ca92f6784df73e2fad9484cef04b6afe4037309c697983.97.20.xxxBucharest, Romania
9a3cb0e18a5f62c26773e732405f35dd56055f273a940acbf90fc7db519b47ec94.224.210.xxxZaventem, Belgium
a927a95f075e9388fea2a08c15f1377c405e8325b66da9c080467b9c872ac705100.11.156.xxxPhiladelphia, USA
6e63ac6d8356b61ebdfa8ee3284b7df7e1c0830a4c4bdadbdcd8c04158b7b79e100.11.156.xxxPhiladelphia, USA
59db00b154cb8c87d4b9a16d3f2ab29843d502d9be5019f3db2a01a7ed863cd1178.69.35.xxxSaint Petersburg, Russia
e445b4952e2dc4de67d5e189e598a82a7d57e7fbc1ea8d276a998638eb83cd6e58.111.133.xxxSydney, Australia
2849581c0009cfaa391465ee4ec2947cb04be31c4da3c407e067eacc90d32c9f58.111.133.xxxSydney, Australia
78b7e9978fdb856aa5f910e17bbb11fc572a20af0901b55c43250c28cd286c0c93.104.161.xxxHof, Germany
9ebe598745cda588294cbd1b69cb566abb562f85638c892e7ff710c19f45a02893.104.161.xxxHof, Germany
a1ead4e5c60d01fe6ac26b57e48017e7a5f9c3dc14948141eae7ae63967c1e0775.82.185.xxxCanoga Park, USA
89b826b7e4b28a768fe44cad9b49fa138a165662740c3494c4b8099091571b9e24.154.254.xxxPittsburgh, USA
6d777b558f1fc955c271fc90b0860fb5cfdbcebb464e58e41d0221e04952a23680.24.57.xxxAdeje, Spain
ca0fac15621e184ae17b02b3bfce95b9148d7e66884016f8084a77a5719c5641202.153.210.xxxWetherill Park, Australia
dragonvslinux
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November 13, 2020, 08:18:57 PM
 #32

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I'm looking forward to seeing some evidence behind these claims.

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November 13, 2020, 08:54:31 PM
 #33

Obviously every single coin that became something will also have enemies as well, I am not saying it will be a great threat to that coin but it will happen one day or another. There are tons of people claiming bitcoin could be hacked as well, in reality they are talking about individual accounts that could take years with brute force and you could move out during that period, not the blockchain in itself as a whole unless you can get your hands on some quantum computer which doesn't even exist right now.

So, if you are successful enough you are going to have enemies, the reason why you have one could change but it is still going to be something that is permanent and they are going to do it over and over again. Ignore them because it just means you are good enough to bother others.
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November 14, 2020, 10:56:29 AM
 #34

I'm looking forward to seeing some evidence behind these claims.

Simple. Use Monero, find out if you are on the list.
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November 14, 2020, 11:32:31 AM
 #35

Monero BADCACA sybil attack is still here, despite the claims that it has been fixed. If your tansaction is waiting for a few minutes in the mempool, badcaca node got it.

Here is 100 Monero users who trusted in its privacy yesterday, are you on that list?:

TxidIP AddressCityFavourite porn
85551633c1bc7e356c4d872372e56288db7e04bed809b6c1d4fc3eea0c5112c462.182.99.xxxNew York City, USAchild
7da0fd5433a3e1ca2b71948d809f03e58b0d358f717a8ac5a3ecff79d5bf3600193.9.112.xxxPrague, Czechiaincest
06d590f74b372fae9fbf179cfbb8cd3ef554cb25e58b79e3d9efe6be4ca620d9193.148.18.xxxNew York City, USAincest
16c769e0e5e8547b79dd355a295dc0535b61af53c7ce1b37e09b82e7892eb39c217.138.216.xxxBerlin, Germanyteen
de302ae6ad4059e1dc6c6b6a087ba84cfa748a1b4f046a565b7cb2de33e8160945.141.152.xxxFrankfurt am Main, Germanyteen
774d0453525b31895aaf3388993520ef75a69d39ff8df9599e2264ec3f6896ac38.142.119.xxxHicksville, USAteen
fa95df3614bbd9eaa35c978fe28e0b213cc7a6f227ed9539de3690b6e8adc1dc84.115.201.xxxVienna, Austriateen
1266f4fa95f191a46176747c66f9f899633604e22907ea24af7b938c5ea1f2d7176.37.87.xxxKiev, Ukraineinterracial
857f44da38a1085c739055b618fa26f02e74f694ab8940208be2274685676be6176.37.87.xxxKiev, Ukraineinterracial
2b253b4e172a2e53880e5467befd99978d5c81ee749587e2714b348c47d96918100.19.74.xxxWest Chester, USA
c3bad2ddb1b0f4826222d44de56f8b081699e9d70f10e1c3bd947b8409f03d36174.97.168.xxxNeenah, USA
122d724f4d56199861b04380d3490fcb5367b5a32a2da6d9325254acae353daf50.34.54.xxxKirkland, USA
6942d1810aa0eca280ef14e6dca79ca9d1b6b3f1352622e7067d569d266aee00162.232.25.xxxNorth Olmsted, USA
5dbeb270048995634c282e8f7721bf47ddd2cc025630bdcba3f5e2e259c8b106203.59.165.xxxPerth, Australia
147b639923e4f7f3c5fea17a45928e5e58aff6823e83b5fdfbb271e18fee6b5784.66.3.xxxBracknell, United Kingdom
d9568ef35bd913ab98dfe76f0b8ddd324f1f915f23711e9ccd4c12a0c409511e98.209.232.xxxPort Huron, USA
36f6c35fd0918d0cd0f9074d267048a8b02d52a0a6eb6063b203c2448826000b186.206.230.xxxBelo Horizonte, Brazil
bf62a6094abb5b9651422531f0e50b3706ae96c3d9d3a08bff13416bcc88dc9683.161.147.xxxAlmere Stad, Netherlands
307a6364f3c9129e4dddafe404ca3b57ddeff8ee23cee96c64fe067a63dcf5a024.16.42.xxxKenmore, USA
be25ba1cdbae231ed5c54dc4ed479f1d2a2624a5c5fdefe41ba96c510a809f35109.90.2.xxxWeckrieden, Germany
16b287f32fa8c78b5a1347d1f275f622072a484a8d72f4786de76eba5d68bf1698.179.109.xxxSurprise, USA
2141e85a516e661375ab576e9d364d953aaf7adf3f3bc54a23f2ca72e394b31586.121.150.xxxVoluntari, Romania
586b3541686246d8c388ff4989f7dc8415f03bca1edd2313bb22cdfcee34cc4e50.24.126.xxxCollege Station, USA
34325a8d1950af588921a4f93748918733a6876916d6e5052590e8a57908afec70.184.66.xxxLaguna Niguel, USA
863f96f6dae02bc356bfd5b180da702dde1cb2ce7bec495d9e754037e62d3f1d118.136.3.xxxJakarta, Indonesia
6d0e76c5037f3754ecfcf3e20f18602bfc4dca24da9d7f96661af486e8705d6c98.167.66.xxxLas Vegas, USA
045640d1d54fbeddaf0ee41f106a753846b70d44052184864d293fef87720ea276.17.213.xxxPlymouth, USA
92ef9383d54e74009cf7ad06d01d869a7ded747921c6b67875ea2b544a36e15c93.225.66.xxxDusseldorf, Germany
d6738ea1084c87c77e11ed74f8b68d5f9cd21382057333bb7d1ec17b1f5a5103137.27.174.xxxFort Worth, USA
c70feab6d9dd31081586e8cef8d437b6f45c87a39d15e991e6b7dbfdeabb53c8172.92.100.xxxPort Angeles, USA
bdf52ea3638b91d7116a7dbb12bca3b28d6d230ff4e736ca7a7d6d0b0156d5e746.126.49.xxxZurich, Switzerland
5a7ec154d0873be1fb4d19f8d34dd3917039507cd7a0f0ec9d548b3351e886aa83.84.57.xxxZwolle, Netherlands
4f83c2e06ebc614952e0cd2cbca2841a3355dce76d90adb920afab9922ca940031.10.131.xxxSaint Moritz, Switzerland
98bebb28ea2dee894d3cb4c61dffbcdbf637bba67a277ddb6f67388aeb0fd8eb101.191.35.xxxMoss Vale, Australia
f6c8d5e94aae0ed05532602058f81df5175db9f058e393d7570af2cd92dab6b2188.22.228.xxxMaria Enzersdorf, Austria
8b7abdbf42979a50b11bc40cb86fc097d7e5cc59dbbd51bc3319e1285b99d6ce24.27.15.xxxAustin, USA
0392f03bfd1f1be0cae833015c78e7ff5d98b79e4dab06f980a58153ed2e0e1566.69.73.xxxSan Antonio, USA
2aa2ae9c08b08c481dd1bbc33d8a8dfb63d7e0af98ab404ab23eb11684bf258d171.212.244.xxxChengdu, China
764da1bd5980d21045674b893f31d9f424fa597d956adc0c704231d8b00c817568.58.61.xxxGreenwood, USA
798be60a93baef50653f8dcf2a60fb4946ef0c148a3ce3bf60823c88b3da72b994.224.210.xxxZaventem, Belgium
5cbd8b476aa4f8d05163a56d7dd7d2138fe09d68444af6f6a2b08c41e0c20f2c93.219.91.xxxBerlin, Germany
19870e8eaa2027519e71077e9609ef63017bdc9a23064b8fac27d95250e4095b222.190.61.xxxNanjing, China
95da9e3ba2fc675aebe1c57974781a4d23990cc39a42b98db3805d503b5ae89223.16.102.xxxKelowna, Canada
6d9188bda87282e120fc2d34bccfcd3bc85463bd58e5361a6377aa5147eaf61350.53.163.xxxBeaverton, USA
290983fe878934156c48d4044b4db1bdd84982c06664898a175d625bc2216d3596.225.78.xxxMorristown, USA
d717149b3e67f9e24aabb26215c5717c2020bd8c75fe6a2ae5549efc59a7249e50.83.209.xxxAurora, USA
53d5b46b16ce76aa86169606b4d6194c64c0570b630d7d66f2747221639533ce193.9.112.xxxPrague, Czechia
fc79b2f8fda8b939b755a6cc0525a4cc729ddb74351b68d62b6741e3697a8ed173.131.106.xxxCharleston, USA
5d6df5f58cbbd1e7d8b9dfe28faca0fda62f67a7d02cc58ea6e9f90d3dff8dc9177.76.111.xxxSao Paulo, Brazil
ae784ddac2d9e37a77e2f5f6f4295aadc03ca235d80771bb0fc35cb579964cff60.241.48.xxxRyde, Australia
68d717fd8b53dd2b674911cc0aad560b7a4a09ded60855e3f8653e8bb6282875181.164.203.xxxBuenos Aires, Argentina
aa313806ef7332ac52108aea8c8a1ffddcbb96a11f12deda3cbf18b18724abfa5.146.194.xxxAachen, Germany
624adc408834f87916fbbafe809e3d814a05ca94d372001b7f2163305bfb0890117.171.166.xxxJiujiang, China
b07f3cc89a0770ad4af63dc9d1090abe1ea2f0e3ab9bc82f5c9af377d8d2cceb186.18.253.xxxBuenos Aires, Argentina
aa6ca5e7d8e5ca759c0091c3b12b91bca39be6f46970b38df5a19a5bb61f40bc84.59.222.xxxIsenburg, Germany
22f6a28c4245593da4999c462f483dfda8dd95561d86e83dbd2a52561abe1c7c99.129.102.xxxAustin, USA
8a26b15a95c017e8a0ba02bd329515a44dfc9c6faaf188e0a206f435769a1e1482.67.247.xxxRaismes, France
af5e721705958f720f2b4205ffcb8a4488ff918276341cb09014e1e952b5aed896.35.34.xxxTown and Country, USA
f420f9ab4520c7f7b9eb31607b6f88a6f0f327438296fa9de10b4446c6514fe5208.104.194.xxxRock Hill, USA
af1c26f97c7871ebb1f24f1f9597fa2e83c43379150f9122a3bb5754c30c9bc0181.214.98.xxxChicago, USA
e1c997a3e12bc531a1810904d755e914f74d7c10ca6f21ed73c227f80e1bffa769.244.168.xxxLansing, USA
f2cea20f332c5df82e4e5be0a9a2bbb428f970e4a7ea8f365a4dac5794e9628a66.41.66.xxxMinneapolis, USA
052d37cb4b20bfbf252ecd7bf7294acd350cc9bab45646bbd3f715b5c4bfc381100.11.156.xxxPhiladelphia, USA
e8c4a3428c44f4bf2adc785853e1c45d265ed674c2860b5c2213298814fb2e5187.156.126.xxxLaufach, Germany
d4bff5245204e428d43309de4efb8c9f583324116a3b598f0702bb082e0a598c67.191.64.xxxPompano Beach, USA
cde83f2b047a082f7ad5fd40491a286a7d0173838f5a655f8efa7ee1a14d22d784.202.208.xxxMolde, Norway
0c557f9ccd9c74fe7449b0b6feedbd4d682978f52bce8ff225e9db63ca4e5c5f90.101.64.xxxLyon, France
97e050dd4af0317f194bb6a6fe451cf603cce174ca2f6f67cf3ba574c493fb5b185.203.122.xxxChennai, India
0992cd5c139a6449d1730a102474a70e571abd86151265b21835744a497b6c0045.153.229.xxxKiev, Ukraine
a0fc5cb7d4f92acce1478f09df0bb5e3750cb3d414186cf6c7704bcebe1f0e6665.30.222.xxxNew Berlin, USA
98b31f0016577a0bfbc38d14e5b3e4083b1dbf75a04eac8ed0f341212956847982.69.110.xxxMaidenhead, United Kingdom
0347dacd5a5782383569f3e214a63d094dddcc227ca34e500bc00d3f5389cf1082.69.110.xxxMaidenhead, United Kingdom
3b3fcca3519f3b00b4919b1d4934b43824c853d8fb96098e528299ce535c4e1768.203.5.xxxAustin, USA
06c459ab93345357dfac1b6e58c55dc8decae7555f2bef70d4d94436eb0744e7209.93.61.xxxLondon, United Kingdom
b641499979ed8ac2eab3f25c80dd77f18fd88bbecd98c474527b639fad272fb950.220.121.xxxNaperville, USA
5713f83710a20f6e2f66e56437ae24aaa43e47506335606687c98f178b26054450.220.121.xxxNaperville, USA
311f84b6504ed60948259c2516f932d6db7b611f16467d7441d985794c835eb877.181.41.xxxLudwigshafen, Germany
8ee2909eb384cb8397494e01ddd3008054f5e2a00e1e52a24f84e3f62fac9a7477.181.41.xxxLudwigshafen, Germany
abe8346294a621996b6ce96bc97078ea760ce58107ab6e58f2a28cc35e20d2eb98.128.185.xxxStockholm, Sweden
3183dfee325ec0d98153eb339bcd3180cf10955c7b586f016004ed526c9337ad84.1.12.xxxBudapest, Hungary
b1f88fbd790fe3089b8b3a45f83886043ebc3c5487399d9b5f6ff5e6cb15e1a3172.116.56.xxxSanta Monica, USA
0a1a4286091154da6876877c5fca3f42c411f683b12e774a95157de16c4abc7023.240.231.xxxLos Angeles, USA
e72445c22f18fceac11d4b588589102cbb63306bc7dadc2709d3b60c1ea81da323.240.231.xxxLos Angeles, USA
f19d4ce0de96c99a3b46f95746e330cbea2348a5fc2bb9940c5b3371ecab87c7100.15.106.xxxWashington, USA
96edc8730f22844dd7ca80709358b1efa6027357ebe7602082d33bfc3015886382.194.156.xxxSalzburg, Austria
1c7c102ffc34f0b8079b54f0e59f05cdd8523aeea23fd75969edffc28d31e67593.105.187.xxxWarsaw, Poland
a7b73055abd433a56c6b060259033334c97a2da1abb71f39629bce224b0d983868.53.174.xxxBrentwood, USA
1f0f3d04fcda49280517612860c7f6b13f1ddbd8462b86301b9e8b1b3df28ecd68.53.174.xxxBrentwood, USA
118553d48e0eddf66c417d5f918528b6c47f3aa921cb7598c568f3aeadf198be80.182.39.xxxModena, Italy
23944e4bf9f3a17df9537b7aa305b96b101402172f40f966e07d555edb8b0b10109.230.30.xxxBratislava, Slovakia
b45629f313db5f362f1482e82ec63a518cfe9ebaed4399a6270f5e605e87bbe1176.250.221.xxxEdinburgh, United Kingdom
1da35a277faa75f6836af7bc0e931c028d81f69154280bd060d32aaa2f0499cd72.83.32.xxxArlington, USA
c100f6668549e216c740e770632e4eb4832b849d3b52c4c528ecbd086cb7754586.170.46.xxxLeeds, United Kingdom
4db83cc955e8304b0548b3f5c763aad02401d77f91463e6631c231bc9fb39dca104.52.169.xxxJackson, USA
d04a4af9dc8239d8239a7ea5c8096e914a84c2b99798e49584a9f8f49b96ac8a98.253.193.xxxIndianapolis, USA
d6c3710d323ff806a1e7e16584be0abc1f456122bb60ab71593d846057194dad85.241.106.xxxLisbon, Portugal
93fb6a4e74297d436a0e573a7b84c133ec15eccc7df63adc1500ec2839efa34175.82.205.xxxLos Angeles, USA
4a845a77bcf184c383235b57d09ddaf491dfb15e78906869aaedefe9f9e8894b75.82.205.xxxLos Angeles, USA
9b115c1938169cd0911e0f59b8d27abd884c7a3f4ae89274d88c7d836ec5ab4b190.19.49.xxxBuenos Aires, Argentina
4de66ac15bda45445da35453a4cf488e2faef454df40b52fc0c9a2652f43b06d202.153.210.xxxWetherill Park, Australia
7f8d495e6624015162132e6572503cd7245fef0c809619742fc06362dc9c741358.182.176.xxxSingapore, Singapore
89c1e2c55018461b3870d259a34b823e8696550802eca1d5f7b3eb1279aef2b258.182.176.xxxSingapore, Singapore
f4f60b09bad6c070a88601c1d9f11521640d8a338967a7608c0dd1e648984a4e58.182.176.xxxSingapore, Singapore
0b3dc4b3b9d14a91416269c15f6c8a3f7cb5c5434a511392a903f8793be03ee0198.84.175.xxxChatham, Canada
5c8cd46fa7437fda96c41acf26976a2fd39afc1b1d1c275a1a23faa93404a56699.253.64.xxxHamilton, Canada
4a41267f6a2847050aa2058287f520f505109a698c23a9c0d3aa8b4bc68720ae101.81.250.xxxShanghai, China
702fd823ecddd7dcfd95332d2ac09162345c9a18d284375828b2eb8486c64f5f213.250.21.xxxLjubljana, Slovenia
9fc5e70f85c32a2a955d70d40245657fddd09e183ee560a654d81c70c546420d125.187.63.xxxSeoul, Korea (Republic of)
aa769f4a45f581e6c7a6356b254e0c8bce4b70e6b4bdb0f8992a120487d6cea976.91.24.xxxLos Angeles, USA
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November 14, 2020, 02:15:17 PM
 #36

I'm looking forward to seeing some evidence behind these claims.

Simple. Use Monero, find out if you are on the list.

dragonvslinux, I think that by now it’s obvious that badcaca has nothing except s’kiddie-tier bragging, bluffing, and spamming the shit out of this forum with long lists of txids, randomly selected peer IPs, and annotations of what are probably just his own porn fantasies.

Proof:  Simple.  Ask him some technical questions, find out if he has an answer.

I suggest reading the paper.
Having read the actual Dandelion++ paper when it came out, I can safely call this ridiculous.

[...]

You are confusing cause and effect here. Transaction sitting in node's mempool is caused by it being intercepted and then rebroadcast.
There is no such thing as a public mempool on a p2p network level. What you are seeing on the website is a snapshot of one node's mempool. The way dandelion++ works is that the transaction will be put into the original node's mempool, broadcast in stem phase, and if the node doesn't see it again, it will be broadcast in fluff phase. The "not seeing it again" part is the cause of the delay.

Based on a reasonable inference of what you seem to be suggesting that you are trying to do:  The Dandelion++ authors were way ahead of you.  That is an admittedly low standard, because you don’t know what the hell you are doing.  You are listing the IP addresses of random peers, exactly as I said!

§4.4 at p. 17 of the Dandelion++ paper speaks thusly:



If you claim to be defeating Dandelion++’s random timers, then please show your work with maths and stuff.  (LOL, as if.)

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November 15, 2020, 01:19:35 PM
 #37

Monero BADCACA sybil attack is still here, despite the claims that it has been fixed. If your tansaction is waiting for a few minutes in the mempool, badcaca node got it.

Here is 100 Monero users who trusted in its privacy yesterday, are you on that list?:

TxidIP AddressCityFavourite porn
a8f23d5c9e61486548cefd086f3ac1ac38252cd9c84ae323de11cedc8060ff6b139.28.217.xxxAmsterdam, Netherlandschild
79623827ad311b9efc927e45901a36eb26c5dc22005aea6b03e45a6ecd69075892.119.17.xxxAtlanta, USAincest
7d1919e1e9a6d3b1a43edcffb52b65e1b517448e1bfd1c5e5a76b4af337ec74c86.106.121.xxxNew York City, USAincest
035de190ad091e4b6c66911c93c1189f12774b0ae8b9a3f61eefa39c010350a694.134.102.xxxHanover, Germanyincest
5bca100ae27f2135d400752af90fef85e91024f70159f41ed3ff0619fdb82e3894.134.102.xxxHanover, Germanyincest
a6de6dd1c382787cdb7f24ac6172ed4ce891c7426680c9f0d6b806bc105e6530217.138.213.xxxMontreal, Canadateen
9bde3c37c95d98146bb0e16755ceb31cd95c046a9af2b8f93566d4b8ab458939174.94.155.xxxMontreal, Canadateen
ad15417d261b7cef86200c52490bedf0f1aa85e7c1debd1d3fca0cf3f8547d53174.94.155.xxxMontreal, Canadateen
77f44b4cd4bad2d00807a5d0fb12df12ba61c784ef54f9c31556b8f0c944dcf6152.89.160.xxxBelgrade, Serbiainterracial
5f5c21941aafead6a85402af7d89ee3d762fad980dd0528992578a92d0f4e30d121.99.242.xxxAuckland, New Zealand
05b3b3ef587cb0c2186b0c0ce4d0bb289c9c5e6277fc884d21734976b70f9c8475.177.141.xxxApex, USA
d54ab6c41a57073c239fdbfbef7924a20ff3d838e23b3127b6abf12376b094b883.85.97.xxxRotterdam, Netherlands
4baac58be5cccf8417d2bd0744acc78d5507bd3bfcafbec159e6b15a9b4496c073.98.209.xxxSalt Lake City, USA
820e1b79c1547f4987baf8579e38b95a2d644a65584e8f5f236844a0650661e159.27.10.xxxSeoul, Korea (Republic of)
50d5dffc87e10b54ffae1ce95d4eb9191c0eed6a60d233738e3eafbcd4f0bac5109.230.30.xxxBratislava, Slovakia
52e1a95e72c12ed4d50af87fbd43fe343a67ad88257d61efb3b1d6cb94aff3b784.118.170.xxxSiegen, Germany
a279bf76d81180148d896177250f64cac259c0404e289b92388288b501611bcd205.206.248.xxxCalgary, Canada
ec1856f9730a140c4c436003bf47618b148a47080a65f06b313892499912c4a498.200.198.xxxHouston, USA
0b7f9c3d35f367d279669a4469d50be4a28f08ed291cfc5ee25a485a7f095c1466.25.142.xxxHarker Heights, USA
d053eb3712686f9adb6e2eb3b5f15f3e97c6c3bf7585ed2553e63282cab60014203.219.241.xxxMelbourne, Australia
1ee5484e3172771a2305f40896e0254bb9420467bf7a56eeeb058ae06d69f64e68.53.174.xxxBrentwood, USA
0328f869f8369f9ae3c9a179ffd40b965efea526cb347e88a087dfc0942fcb1a176.23.22.xxxCopenhagen, Denmark
1049a065b4f11b5b16c952b3d23355e125ea077a670da5a842eacc50389c24be70.106.218.xxxArlington, USA
1d581d1009bbbb0584aee79fa5e0e4362aa122f612e8769c2cdb75df3ed6caf784.202.208.xxxMolde, Norway
3fa9409b742c7e066aad2f619c758e20d31ac168624be90f56a04adce33ffcd471.238.235.xxxLittle Rock, USA
077565a486f496ccbe52bd51e78dc349f842a5e830d527399e86d141c5624457151.226.73.xxxDaresbury, United Kingdom
f08886ca2c52d71e88332e15b4b8e4d1ca84ce8a131f92a5eb48e36dd7b6a9ae23.115.236.xxxStone Mountain, USA
4e5af414dba9d0cab5c8e46d19e2eb039cde99ca879ba12ada127495e4884642145.255.180.xxxKarasu, Kazakhstan
1b6b390b6096e2ca374ea6077ffcee7b717c49ca6e3f32f6dad539359fc8118266.189.42.xxxWorcester, USA
e6ee4ace97f08f265b79165bbdcee3a4857791a685c085800e657a90c19c7e6537.24.207.xxxMonchengladbach, Germany
c1f80fdcc4939f26626c34247b9d1a5fcfe0325953dcdd3e1719d01edd903ccd85.238.103.xxxOdessa, Ukraine
6a86cebedb564b4721b53863f51b696d16bdaf4eb7c77b5f1a7b7b74fd67301a136.56.52.xxxMorrisville, USA
776f263064b745cfbc3361d617d8f029f72d5352433928af6bb62ab31628c071118.136.3.xxxJakarta, Indonesia
c60eed69688c671d7fd16551b90bc70161c0da333141a66d87cc8c0a27244f1d37.4.233.xxxBerlin, Germany
43451f8e8e34a8653952fe2cb9ef35dc6629b6232733d4e3435f96d7dec8a96b50.39.99.xxxBeaverton, USA
8578ccdb5bf2439907b3ce6117a16ec09f2f56f6ecc1301cfc67835d20f8012d75.142.98.xxxLong Beach, USA
0fe1beb20228221a2048b7afb7fef6b775605036263198154b0cbb33f348716a173.216.88.xxxBatesville, USA
9c1d42ff54df5ae239badab3d75246cf53b0492a7740ef78143b14260ca8db70100.11.156.xxxPhiladelphia, USA
6517ba5105551208897142aad3971e82ac3fde52728b178e063394555777d2842.204.231.xxxBerlin, Germany
8f9593542cf038480f9bb878c1640c7d7ceb2265ea3d7af3e925d1623242c78a89.179.124.xxxMoscow, Russia
e299069abce252ce8e91a01b20218a5794fb9d80ea7f3f77014a3473f2502f1b97.121.165.xxxColorado Springs, USA
5967dfe4b96c120f07c6805b496e2bfd79a3f8bce5a163ed21351f0a735a265b85.203.45.xxxAmsterdam, Netherlands
978ca2151807c8945027470a4edfe4d04bbc8a7acef2756aa2a6d0a7e864afab203.129.54.xxxSubiaco, Australia
4dd6afb68bff4a9571dfa52672290d6fd5a8cddc0d6bd9641c29d9f536434f6b108.173.237.xxxEdmonton, Canada
16918c7367fdbadcd25f11c3799f783fff71067228a293c16102a8004d133d9e67.240.190.xxxPortland, USA
af6765b523810d66cc7fb50646c884818dd2bdfaf79b294031f8f5bfbf43456168.203.5.xxxAustin, USA
588ffd96e06206b778a43706d7ceaa76306bd6eb1df848b4f1dc06e9c532198e98.155.248.xxxLahaina, USA
f983187219de0db7d34c293725b1f1aef407a2e0db68b071dbb7167b4bad999a47.20.125.xxxBrooklyn, USA
624063927318e2b626119a7f29b516d5a962ccdc8b7adb59b4f2011c24b2256768.0.147.xxxTucson, USA
5fc6f86e56bffeb6cc428f580057a00363fd9ce865b8a7d1395618361fe9e8f024.121.207.xxxFlagstaff, USA
4a752beb0e7d1b3aae4cb9ed9104a9e59337a03e5ccbd9d97ddec63600a506ae99.145.235.xxxSan Diego, USA
550bf062f21077b2b880cf7ee487ea1307929a427f17dc407bca13eb582ae9a9178.112.11.xxxMaria Enzersdorf, Austria
87c3733df0fe0a3b58611e3e6d4f4c345e9642170026d0b508eeea7095f24778217.225.193.xxxMunich, Germany
b3a0f3c6f8208d3bace25ca737b44f7686534035a4c4820d2b3bf28c837bb33c87.99.38.xxxWroclaw, Poland
2e451d29a6efa3a7598e67c581e162561c26b4bf6bac45f89f056c1f889489c024.201.220.xxxQuebec, Canada
ec0a9539bdc7f3f2c2750b658ee3d5dfbd99273e2407ba293d1b3717b5bdbe0e124.190.195.xxxSydney, Australia
aeff2be72b2636b3ed9dde54b6d38e48f285a2d3a36370a1ca0704054714cb7a113.100.164.xxxMeizhou, China
966ada7689f58b735a0a1498ad4264f223c99e08a4cbf4628db8422e886897cf81.250.251.xxxCharleville-Mezieres, France
96abca14956ea33b8bbd7eaef056adcc1dd8988792f3dd78b0355340b8d4badc60.241.48.xxxRyde, Australia
00616c7fa4d46fec6cbcf5be91856915d09cd0e888fa3415bc4502fbf43221f595.223.75.xxxFrankfurt am Main, Germany
12eda355f3b416bdfbbdb6fd8d23fdb59ec103120c41b6942fc506983f70bb14190.88.176.xxxWillemstad, Curacao
d4ff2830ea3526fd0b1bc1c89509c1004cfe196415107bcedc317bc8ac7e633f47.219.23.xxxTyler, USA
9b6fa6478b492b3d3229851d03dc4df060372091ac79faa0be73f516a611a5e276.91.24.xxxLos Angeles, USA
752bf7108d259d7e61d9e2fb3cf08edeff15f887b1bed86a477d7b0844963b6058.176.248.xxxHong Kong, Hong Kong
7d3e29d81e1f39a7818094fac67cdb9839e720fcf44dbf773f462daae6f9644c95.103.133.xxxZilina, Slovakia
2ec2ace87739ceae1022326e592666d1e11eaf1471e4c09db8dfa08862f9bcfc68.103.245.xxxWichita, USA
b119832c515df86eaf5ec8aee47b867cb806e079d15d3d9d2bfec6fa8d6b0226135.23.93.xxxOttawa, Canada
c89adbc8260723f807e1fad7a94c618ff9a687ba0d4dc1e78c20be919a1fe78c86.121.150.xxxVoluntari, Romania
e0488bc6399263ff895f30f233c13fe72802ad35f4a76e82f31405fd6ca0b7b290.91.212.xxxParis, France
eade72340933dfff7a53cf0387e9fba9164467e80e63ebab1196e8148f83f0cd114.34.166.xxxTaipei, Taiwan
b7403277da95e20edb58ff090ae10f3f3ba5b5040758d0acc08bd87ca0dac78a162.104.170.xxxColumbia, USA
9858b2b523c2b580067accb8c5d3842a3745e30effbadb8be37b92ef2a764d0d82.64.20.xxxAgonac, France
2cf1b1133ffdfbe67e04ee56c930565c5361950975acc999156dfb1d01ae68ca98.253.193.xxxIndianapolis, USA
9b599cc8251d172652e55672818cd109e759bf41113d9d017dda84ce048f90d270.127.119.xxxTampa, USA
00b63a086b6640a5ad999ba3c1e9ada957e077cb0a7123addc7b6bc16ca8fdeb70.127.119.xxxTampa, USA
585e39162f0fb9c4115a09b451b9e142670242eb52ecf6cf91b9c4cf9db6d99c93.104.161.xxxHof, Germany
bb3fdf36db23268e0d0304e540ccab36d77be57b1e6ee8dc53f3c5448243513d74.98.228.xxxPittsburgh, USA
c06b86b8f31c1f44522dacc37d633ef037001608faaf43fc30b26a36c8bb2d1c76.121.136.xxxSeattle, USA
33ec064483586fb1d5363fb5ae4d17fad6ae42b3ca5e1c22e8639428d1a6c40b76.121.136.xxxSeattle, USA
32d3bdd8a1ec7f84812474f920a2ebb6f3ee646fe1ff33833b12b1fed252a80b65.60.253.xxxColumbus, USA
94fef72e529a61e7796f524d891053ba7203338375d09e003207d5edb2c6f71c65.60.253.xxxColumbus, USA
3d7bf863b1132c5bbf68fde1aa54b3b7f7c68e603d54d5d28d61be5bc653a10e120.148.37.xxxSaint Andrews Beach, Australia
c93a91241472292327a03d6710b1b931d5ca7917dd9d96fbe9e6a5a87e714d7682.3.12.xxxLondon, United Kingdom
d0187b3ee5a47d23d8ad6d343790f1ac42ed36ffad036c203566929014d89f19137.27.174.xxxFort Worth, USA
9b6c1922db4cc54565b335ebb31b4051881741841d57e9450f43e71ffe44158f61.186.18.xxxHaikou, China
37dfbb128680675c7322a7cc2bd9bcbc2dcd51d838db368cff70fcceec5ff6ef61.186.18.xxxHaikou, China
825eba0437b4dc9ecabc1f7f6b35cb93e09499a41be0db935a422edb71e68dcd45.153.229.xxxKiev, Ukraine
de3714efaa48dbbe514adde6a455059f05fb25a659247c5dc7a700e7b7d00c0c45.153.229.xxxKiev, Ukraine
f91c6fe9288e8f01962e952a86842a87bdb8cef8c404bff11e3d45b1278c189c75.169.42.xxxSalt Lake City, USA
827a6e00d1c6afd608731a0a7651f4a2ed97581561772e96d2dae98da4b0828b75.169.42.xxxSalt Lake City, USA
7dcf23e6c1af4142d93687f154be32a05f23f1da68dfefdd74aac6b2757484fb98.167.66.xxxLas Vegas, USA
93b267d80e34cb8af1e65ba757e42f149886b36b4f4c77de25f0432165156302170.75.164.xxxPort Coquitlam, Canada
66cc95111e3d389be8f00346f10999fea70b7c0df6859b662ba4e2927e9650a267.4.193.xxxEagan, USA
925912bd08f27595bed36c7a321765d8f4ecc7722db4507bda2215d4f529e14267.4.193.xxxEagan, USA
17434712eb7b3347bae2b899594807462eaca90a80fad3410d62b27aa535072e178.147.26.xxxIgoumenitsa, Greece
2d24443a0bdd2ec8c80227f12e68d5315301d0541f519cad3bc7d8ab9c2e466372.226.6.xxxWoodside, USA
ed822eee8769179d1f8a63039aa2125b26c81f5f33d890448861b2a33bc23b7127.94.74.xxxSaitama, Japan
c7751e8b7d72c4d88a3a8b2ec66c928e8b661edd404740d5681530157798577369.142.189.xxxUnion, USA
9fd5a50648b853bb32b7964c3a8bd5b759633488575ccf4aa8f6ab1fee56f94769.142.189.xxxUnion, USA
a26c05637c65bdf0734e29f1503c256ff227701744aa3da2fceea3717c06db7b86.6.75.xxxLondon, United Kingdom
e9953b8fbf6a5c7849cf7defc2206f75a22bf794d4acf0031abe7828cbd59c6186.6.75.xxxLondon, United Kingdom
3438ba836d71a47a4c7d183a3a69a76ee05ba6e94a838119d8c6d072157c7f2a86.170.46.xxxLeeds, United Kingdom
fb89a1b5a0fe1028f67fb2bf1a6a4445851dd9c86d038abd01401d6d6be7832b47.32.178.xxxSan Luis Obispo, USA
b6cfad7b11432ca7a814cc34801132ba73a1d3937918347c1b151d9bb322306f47.32.178.xxxSan Luis Obispo, USA
905848f706cf9e3b83749fd616f0d8f81e99770efc351d8162502b97acf28317186.122.57.xxxBuenos Aires, Argentina
22115797be1944bc557f9a69437edb93f119671006b6aebef1ffbfbad1c13958219.251.180.xxxKwangju, Korea (Republic of)
1ca68ab94e6c8cb421013bb861ca5b75a987f741f2281b08ecfeefe84eddfcf6219.251.180.xxxKwangju, Korea (Republic of)
2943f20e774416ac529cab6b4356e90d8e0d251dfb85fa9438534ca63d39d44a109.90.2.xxxWeckrieden, Germany
a70678de7f9de1387e3115600bdbd10e4f46b24c3d8c62711d2cc62a2390881366.131.18.xxxMontreal, Canada
b79c3014fe87e63fd711488bc593909abb005756220719d921073c1f36d48bf7193.58.196.xxxKosice, Slovakia
78db32de2c4d28839df28cd398faa9bf8e0dbbe1fb6e1f21379bf4ff5499bc0082.67.247.xxxRaismes, France
25fbebd87ad7b91b19ded304b39b2dff7baaf24fc95ceffa79ca9569c92a826a47.185.218.xxxPlano, USA
597042db2210b4b3d999fd909a3e5d773256cf43c3c192b3159e76bd02fc7aa847.185.218.xxxPlano, USA
e38ad1f98b04cbfb1836184c9a8b3c97736c5aeef4b9b5417319b4baafed342a172.116.56.xxxSanta Monica, USA
dragonvslinux
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November 15, 2020, 09:23:20 PM
Last edit: November 15, 2020, 09:35:10 PM by dragonvslinux
Merited by nullius (1)
 #38

I'm looking forward to seeing some evidence behind these claims.

Simple. Use Monero, find out if you are on the list.

dragonvslinux, I think that by now it’s obvious that badcaca has nothing except s’kiddie-tier bragging, bluffing, and spamming the shit out of this forum with long lists of txids, randomly selected peer IPs, and annotations of what are probably just his own porn fantasies.

I'm aware. There is no documentation of how this was done or methods that can be reproduced so that others can arrive to same conclusions, or evidence what-so-ever that any of these IP addresses are connected to actual users. I left neutral feedback referencing the previous page as it's nothing but hot air at this point.

You don't need to get too philosophical with this to see it's complete horse shit.

Edit: Had to re-submit feedback as post deleted meant your post got moved to page 1. Re-Referenced.

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November 16, 2020, 08:41:35 AM
 #39

Monero BADCACA sybil attack is still here, despite the claims that it has been fixed. If your tansaction is waiting for a few minutes in the mempool, badcaca node got it.

Here is 100 Monero users who trusted in its privacy yesterday, are you on that list?:

TxidIP AddressCityFavourite porn
54a2aa0cc5bbd948c17dfd9c429d66c71acf8c36bb0f6b44b22503fad76e187b154.21.21.xxxWashington, USAincest
34dd786c10556849f0418644921769f3d2af2ed83b7c9f1e8b5315966e4470dc5.180.62.xxxMuenster, Germanyincest
8aa654870e2fe6ad6ca2762bc7d9847feba759f49d1bb1c8ae407e2f5b67d59185.203.45.xxxAmsterdam, Netherlandsincest
d7fc4fbaa6634f0a9cc0b15b91cd72c7f18e745b7f5a9c5906e65ff2bfc586ad185.156.175.xxxZurich, Switzerlandincest
bf6e8c719d91d8ad783ba5cb6fb61b50baf507b80de9899b34bbf898fccf6372174.94.155.xxxMontreal, Canadateen
e0bf4722f6b16514e79dfb8e6c44c72ea55a3990e9781de7c081b49839793fff14.199.50.xxxLung Wo Tsuen, Hong Kong
cb784b4eb7061d5e4bf017659828d05da5da9ec095b8b4d4f8b9f5230157ade571.131.70.xxxDallas, USA
636f4a75a1e2398f0c0a681c3859433de0df42b854cb2ad23b85b25c61fddcb668.53.174.xxxBrentwood, USA
84fb6cbacb89a21c4d9c35271bc57b8d8e7ceeb105974d7c9a671ebb7d4c139699.145.235.xxxSan Diego, USA
b331f339ef00d5b766344150101e7f0abc988316343cf817a0d0ab6565dabd3f100.35.146.xxxMiddletown, USA
6fea287f75bead679527723ae416741aaf511aa4f7055ccc9f4d6d7b3545115986.121.150.xxxVoluntari, Romania
6524d26f233f4612195a8d6a29c642f3fb84c203c2bf33dc73ad7fd28070a7cb83.212.105.xxxAthens, Greece
7fc70d4663c5b5b01d5f08b0e0b5f73a82a84a425a018d9686cc37b06d02420880.255.95.xxxChelyabinsk, Russia
a8a3b0bbadcca931bbb02dc0549aa09c851108dbc9ccc267cbdb29e5ba2dd6bf178.254.157.xxxBelgrade, Serbia
0bcc347382b14d2510e11b2cf087f83e08fd17aa75d0156a7c0a5462a096f708125.111.145.xxxDajiahe, China
354f8c17481254a5ca3253b82ac0c987895b7908a5803dfb5da9e753a09ae7d6173.61.6.xxxMount Laurel, USA
a65dff5675e98db3be3b5ea36f815587a2e1923fa7a29763616829a0f7c88baa81.132.228.xxxWhiteley, United Kingdom
65a8e3c2d2990cb576bf1bf1d492074a0b4fed66173b6561fb85e1068455d1ef178.69.35.xxxSaint Petersburg, Russia
2c91f2360003cedaf767a47f4c177cb768b9a801d18e262785a86ed3e027babe105.244.75.xxxPretoria, South Africa
b704b5c97a14c5e964ef02f8682d42dfa86a9889233f33a90be68ad5c94f543f203.118.185.xxxTauranga, New Zealand
74b9a61679fbed564e07c46062fcc70c47f355e2d5ef0a02dbc3cad274f4c0f771.197.224.xxxKirkland, USA
b0ee5a67b528111949e59144bd605c830912de379874ec9b50d0d4cb6e345884100.38.225.xxxNew York City, USA
af5eda448ee8cd37b8da41d11d581c5f38983bebf2693cf6d747fc1f3aed5af8125.84.188.xxxChongqing, China
3d5c9738acd687c25bb7d77b591570a1deee86d11c6793344a9ce50aa062a812205.206.248.xxxCalgary, Canada
f0d559515f1ca06bcf2403e7107e3764837f0aaff164c1dac09285a4cb530c0a45.133.180.xxxMexico City, Mexico
aad379235b7668df8f4cc9ba61687efabfe7f259e6588355eb787834a55794b137.24.1.xxxDusseldorf, Germany
3e178f1095ae4f8710589db94bad836173c94aa57d50769d1624ceb01683d148125.197.216.xxxTokyo, Japan
c4fb6022b02a50c8d2df294729b808bdaab48d2fc0c182b3b44b0144e93c6c9850.73.65.xxxAtlanta, USA
5a40da05402bf208939789f523a88e22be7f63f81b9e151ec494725c9304df4d71.238.235.xxxLittle Rock, USA
c40845eebc073561160e1ce9f23906e121d53fa3b214b4ea370650749d90037184.59.222.xxxIsenburg, Germany
d748c74438c5cd3bc637acb694d6697aa627322abd1e27b89b1e5d6218873eaf162.204.125.xxxRosemead, USA
99d240914a703a3c90229c1d3167f04b3d8bbea8445df8c17a96fa233fd85e2a117.20.65.xxxToowoomba, Australia
f290355a260975060064125122dc7a38b660f0bdb718453df3aa1281508b4afa93.219.91.xxxBerlin, Germany
f684ff1760e1f31c70f05efac733fded6c067dea8bca056580321ae1e25f1d222.204.231.xxxBerlin, Germany
d971e82f7cc0bfac06fc3d55be1a74b2e129d3478665a45a0bc7b381c23ac12377.180.226.xxxStuttgart, Germany
bbfa9a6d8081508832ffe48fd88fe544bfe68b265e3230ac82994d589509c93e66.86.47.xxxColumbia, USA
82842ae08c1f0ed73881deef1d7c8d2a64ee7a86c50e6fbe1ad0080c5b1cda0879.216.182.xxxLeipzig, Germany
4ae0910d9f112be2e5cfd26ec91e793354818ae1d8899be763d2130008a0fe0150.80.57.xxxPeoria, USA
60387f97eeafbea2f2c11e644c70598bf2335c4b28686bfa851f63c693967a6587.99.38.xxxWroclaw, Poland
33786d8cb2e16e83ac329bafb612ae5c9e4ed29a2ce25110d58549e56fffee37135.23.93.xxxOttawa, Canada
7f493f3d0a45384e5d85cb6c2452314a48e4843346547c22163f6fc10ea4f74073.254.231.xxxBurien, USA
522bbefc269bf90eda5aaf1d771966750ee170ec386e53d81dcd11783bc705f837.192.131.xxxNovosibirsk, Russia
b183c5d598b6bf5f33ff0bfa9046062c3354623791aff152d17271e5f4dcc48893.225.66.xxxDusseldorf, Germany
c550edc890e91ba047e362795be81726daccc577fe97394b1687225f41b05a55182.43.181.xxxDezhou, China
41eefd1171934760d68e9184bda6cc42b6f0bb4c6049702e2e25bfd59acc4fd586.106.121.xxxNew York City, USA
0ec9e5924410f3e0e176abaa0966ceea443eaaa54faab1ffa17381bb73d970a985.23.228.xxxVantaa, Finland
7d71a023c7ad9cab9b4c3b2b136b8076bc96bb63e9ab9153da7a77b7f559edf077.65.110.xxxKonin, Poland
783bd55f258cd4ccbe9cd1229ae065ac45b3b37103bb8c20486a98b39ecb953075.142.98.xxxLong Beach, USA
3d53b8def99b104ad2376529579d89837fab84c5ca6dd480ee0a7712f516a7b590.91.212.xxxParis, France
7e32ce6853c9bc2af7d6d147f8f39f29d6187b935448cf0ecd579e05689df808109.169.220.xxxTolyatti, Russia
a1abd3c532e6907a69a9dbb8c4213eda8e8ddb45e4762d4f874f297d659b3a5f119.115.218.xxxJinzhou, China
81d6249766ade77ae6a7646edd352b766f4dd2a59d55eae6bb0785e57662c78d173.88.171.xxxChagrin Falls, USA
c1a23f818cfca500d94757ef2afd242134925d48cf6134b87ed2a3157cec1d73213.47.22.xxxVienna, Austria
920f2a81dfd3ea632697632946bf7e97d04a4150db3d3d2590daed3d357a6e5a111.122.8.xxxZunyi, China
8cd372866783c44b4af150bd151032bab6aafce33e2ed5f4af4f33b4993eff0050.38.125.xxxVancouver, USA
be9edb3ce939f0af08872311029253aa6999e6508877354447680038d575ea7280.110.81.xxxVienna, Austria
38353cecb134b770cfbad15a1bfbdac71f9b07baa175d112d87089f5ed6ae3a9109.192.191.xxxStuttgart, Germany
b5d7c75ff1494036e2cac0b308b0b60708edadd63aaa5d333242a7ff1a961188150.143.250.xxxLondon, United Kingdom
644b228b6d0313f875b286047ee8ef3e1a1070dbdd933c82e950a74ecf0ce824123.243.178.xxxMelbourne, Australia
0a5086d17c8a147bb3145518825d0b44e888f44137c83cb91d6579c3184e44c892.233.45.xxxLondon, United Kingdom
cfb2cb28fdb9493b9458791396721f32f712f07b1690b5924d2e79b6c0fc90b1151.224.97.xxxSunbury-on-Thames, United Kingdom
1765840671a0f6fcb342a8d7240453b6ae300bc75866c1ea2afb4afe5f4a066627.94.74.xxxSaitama, Japan
8dbd1b64a7ae400dc8417863fb3f39cd835f2e46d16459132a269bfd594d7a0494.112.121.xxxPrague, Czechia
43b58b1304ea7b51a91cdc92c37859352b9be6837e0347145f9d382485c26fab87.176.243.xxxErfurt, Germany
69ac4c22f85db4bd9cf6500658e0986f4fe68ef2c15d3397090bf058074b9df187.176.243.xxxErfurt, Germany
86a4b2764644c7527c5281b4ac3ebd13086db99895744ba1a3447c3fd576168380.15.162.xxxNeuilly-le-Real, France
47ac98e87cfeb9e337f6202d6ee020942e6a20b913780d1058c363159cf42fb680.15.162.xxxNeuilly-le-Real, France
45c718b2e077ee52539682508d49f084700168d47a8266d13b545f1590b8c4d3176.37.169.xxxKiev, Ukraine
97e3f1b189d13e06bc6b1515eb0c32e1e7894951387b99d3eeb29ccb035389ab223.247.162.xxxWuhu, China
b83d3e9f8b3cb1866f2ffb882f38d0a559f7af64e7154b0cd6520e7633090517223.247.162.xxxWuhu, China
6b8c51dc66e603263977dda067a057f73df4889e2613eabb84a046319292f3a098.167.66.xxxLas Vegas, USA
a4834f8f50e124354b5578162652bf4a83a7f84dae3df309f64de4a3aac218f5107.13.140.xxxDurham, USA
b8bd8745e3be021e4a5fc3ed84590d3980c69169a13b4a910ec3fdbb9e4e3161104.52.169.xxxJackson, USA
c741d5e67eb25abd9a639909ddfa0e0442633208789f75a744d4bdd4b020428378.132.0.xxxLinz, Austria
896317eb8936c38824f671021a6df83f0b70d52270ffb1fef923eb154de7a63c24.16.42.xxxKenmore, USA
6166265fb6259ed6c4ba554cb1adec4f0cdc933f236a3228e5dd41db0ba05f3224.16.42.xxxKenmore, USA
c13635796a6e3f06b76f953d65d481b322e4b76072698ba25b903ee358fb395e118.136.3.xxxJakarta, Indonesia
dab208290bb89bef2a06dae8fdf037eab7287c28597e61b096eb42bf08c1e730118.136.3.xxxJakarta, Indonesia
45117956762b58c67ab4990734a5db51cec29b4b84ed55cd921c7530f1744d6b91.34.59.xxxHanover, Germany
a1f5128c6262130b70eee71704067d5041e2a908053e82ac1c5decafc269561691.34.59.xxxHanover, Germany
409bae4506a5d3c664fdb97b6ff4feecfa929f67431e0eb8d936450d2b9a57d380.101.35.xxxBergen op Zoom, Netherlands
a0c8dc7cec06305d94a06e9ac2a14e5a5a4de644440e134c841c05f76df1b5e794.21.129.xxxBudapest, Hungary
f4221e0b8fd00aa22e74d90941d5386a228cf29b61ae9149104e195bb3c4570e94.21.129.xxxBudapest, Hungary
fa46e69e32f23ed6ea926c7bda5b2c419b6947da70491bed05c7eb27d0a9724f184.55.213.xxxMilwaukee, USA
a3012443c837085750848e750de9a9c5ab59bb3f4fecaeb79733f51e362ceaa946.223.172.xxxFreiburg, Germany
5a14f04be9bb8993658b551d535ca0b480a6d12bd86f3ce2b2f1afea8c9f2b4e46.223.172.xxxFreiburg, Germany
e613b1ccba0ffe0d24efc0671d0f024c07a030924415661414c172870a752d49101.191.35.xxxMoss Vale, Australia
dce2101f49b0b99fe81e1081a7cc1c49f7d6f9c6f4c639cf041825038794f8d876.97.77.xxxAthens, USA
d4dacb4ea0b41520e7215a28078918f602a87b933e63c530541152013cded23f188.151.202.xxxStockholm, Sweden
2903b5d75ef3f37af35dc931a110daebdc326d1e58bba78304c4f1dcf48fb07a188.151.202.xxxStockholm, Sweden
ba6c1a8a814ed6b3c945e25c0238accd5121813c469c7bb3d746948309fbb31d217.228.53.xxxBerlin, Germany
b927470c5912e41be9ae2cb43ee7a3dc3d1630fe190a7ddbbc30d6cd46dcd09184.186.58.xxxSandstedt, Germany
901d25b4609778eaa0fc153a07656f0960c98d05c5416cb5ad003e0d801cf7f973.2.78.xxxModesto, USA
8f7db93786db91f0ce9c8fd19859478d26e14047431da924daa158b87bf23d1383.213.131.xxxBilbao, Spain
3d8aed502c06b7bdd126a1740dc20e3d11562c3bc9e7261f7093125c3be252ca84.151.218.xxxZweibrucken, Germany
11064faee12cfc3cfc04e03c558fa18045fdb4e3834f412f6acad69a34a5da0984.151.218.xxxZweibrucken, Germany
297bc7be2fbeb236187ba67a11f8dcdca445dbee798a70bd7950752c2f0eedc4125.187.63.xxxSeoul, Korea (Republic of)
9c6e37a10810fb5468d19978e4527b141bebb2823972ce970ed9783f394b236170.184.66.xxxLaguna Niguel, USA
be6ec85080cc0bd6a52638da43d74ab4f2187b9be32dd17f3e48e35f9fd4c2dd70.184.66.xxxLaguna Niguel, USA
9c8e9691c6ab577285b4e0e8d3de35bc504b9d878232a4d2698e51724303a2d787.78.170.xxxDusseldorf, Germany
087921c33147eec33fa8d04c24c8804f7af3f4cd6f667cf537a5100dc13e3656212.17.91.xxxVienna, Austria
a314150d70ca3fa52b844b7a75261efe2f5a28824436d7c7ea1b1aa56a3e40b189.115.109.xxxLisbon, Portugal
1f69d13f65bde1cea99247d41996f251c57ec01b3c994270b208b200674144fb170.75.164.xxxPort Coquitlam, Canada
61bed20477e19dc201f5e3389e105924fe4ed2fcea8863977319f118f85aea24170.75.164.xxxPort Coquitlam, Canada
0768a2d1a743689c66bd9efbe98e0dbef067ba807a05addfeca7c03b3a872da271.173.198.xxxHarrisburg, USA
242423980ed163e923a0b388c6689a9156813c681cf164e9d9aded7be91f2a9250.220.121.xxxNaperville, USA
10cbe1c46f62cd4b9e3dee8eb35bcab3cbbd26a81dc989670ec2c87272b2630f118.25.154.xxxBeijing, China
5317e9275a123a4cc06e66dbca217ae8c0099749ce398cba39b21769e1138e24176.23.22.xxxCopenhagen, Denmark
7602aaf802ed93a3eac9445fd813fce97f85b0c4a51ae2a6fa2cf1b77174a8e892.171.32.xxxClermont-Ferrand, France
9399586efb23ddbcfed188d12f5646ed530319ff50e0d8557374e98be38e363183.97.20.xxxBucharest, Romania
1c4e3c487bca90113d00bfb759043fa7626e422edf24feb05a78a58569aeae7672.83.32.xxxArlington, USA
b4db32de62eabcc78622e86613ced9655c1550c0e2932df5a4735b49944b8f1047.25.173.xxxOmak, USA
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November 16, 2020, 08:56:01 AM
 #40

Then when will be the authority to investigate in it? If it has cause some mess like human trafficking, porn access to porn ban areas or the likes of these crimes. I think also it is wise to investigate platform that has been accepting the coins or all its connection that could be related to criminal activities. Lastly, if there will be a clear evidence that could put them in jail hopefully all the individuals involve will going to pay the mess they did.
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