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Chronicles

The story behind the story

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Twitter confirms it inadvertently verified six “inauthentic” accounts, now suspended, after a user highlighted them

Six users with fake profile pics were seemingly verified less than one month after being created.  —  Questions have been raised over Twitter's verification process …

The Daily Dot Mikael Thalen

Context & Ripple Effects

Twitter had only recently resumed verification after an earlier pause, while a 2018 phishing ad had already shown how verification branding could be exploited. The six wrongly verified accounts turn a process-design concern into a visible trust failure.

Later related coverage reports that Twitter paused new verification applications after more wrongly verified fake accounts emerged, connecting this incident to a broader breakdown in the rollout's screening controls.

First-order effects

  • Twitter suspended the six accounts, but the verified badge's credibility is immediately weakened for users judging whether an account is authentic.
  • Twitter's verification team faces pressure to tighten the checks that allowed recently created accounts with fake profile images to receive badges.

Second-order effects

  • Legitimate applicants face a less predictable path to verification as Twitter responds by pausing or restricting access to the application process.
  • Impostors and phishing operators benefit when users cannot reliably distinguish an official-looking verification signal from a compromised one, echoing Twitter's earlier verification-themed phishing ad failure.

Third-order effects

  • Repeated false verifications push account authentication toward more stringent, auditable workflow controls rather than a badge process that can be reopened without durable safeguards.
  • The episode illustrates that platform identity signals are only as trustworthy as the operational review behind them; failures can turn verification itself into an attack surface.

The trend: Social platforms are being forced to treat verification as a high-risk identity-control workflow, not merely a public-status feature.

Discussion

  • @conspirator0 Conspirador Norteño on x
    Meet @aykacmis, @degismece, @anlamislar, @aykacti, @kayitlii, and @donmedim, a sextet of blue-check verified Twitter accounts created on June 16th, 2021. None has yet tweeted and all have roughly 1000 followers (and mostly the *same* followers). cc: @ZellaQuixote https://twitter.…
  • @alexstamos Alex Stamos on x
    @noUpside @conspirator0 @ZellaQuixote cc @rinkisethi You might have a malicious or bribed insider. Something similar happened at IG (paid off by spammers, in that case).
  • @kvlly @kvlly on x
    I learned a little bit more about the @verified process. Twitter uses Unit21, which essentially uses machine learning to give a yes or no answer based on your submission info, and then a Twitter employee confirms. I obviously have no proof, but where there's ML there's bias.
  • @kvlly Kelly Vaughn on x
    According to B, there is no ML in the decision-making process - it's humans who are blatantly disregarding people who exceed the criteria for being verified while approving what are very clearly bot accounts. I'm pretty sure this is worse? https://twitter.com/...
  • @iamb @iamb on x
    @kvlly @verified hey kelly, there are no ml or ai decisions happening wrt verification applications - a human reviews and decides on every application
  • @conspirator0 Conspirador Norteño on x
    Update: five of these six dubious verified accounts (along with the majority of the supporting botnet) have been suspended by Twitter. The sixth (@aykacmis) appears to have self-deactivated. https://twitter.com/...
  • @conspirator0 Conspirador Norteño on x
    Two of these six accounts (@kayitlii and @aykacti) have photographs of people as their profile pics. Despite the presence of the blue verification checkmark, neither image is likely to depict the account holder as both images appear to be stolen. https://twitter.com/...
  • @alexstamos Alex Stamos on x
    @noUpside @conspirator0 @ZellaQuixote @rinkisethi UPDATE: I've heard they ruled out a malicious insider. Looking forward to hearing about what happened.
  • @conspirator0 Conspirador Norteño on x
    These six newly-created verified accounts have 977 followers in common. One is @verified (which follows all blue-check verified accounts). The other 976 were all created on June 19th or June 20th, 2021, and all follow the same 190 accounts. #Astroturf https://twitter.com/...
  • @conspirator0 Conspirador Norteño on x
    These 976 accounts are part of an astroturf botnet consisting of (at least) 1212 accounts. The network is split into followers, which follow the aforementioned verified accounts as well as other members of the botnet, and followees, which are followed by the other bots. https://t…
  • @briankrebs @briankrebs on x
    Fascinating stuff. The patterns here suggest this might be related to some service/insider or “method” for getting new accounts verified. https://twitter.com/...
  • @malwrhunterteam @malwrhunterteam on x
    Twitter must be like: Poor actors needs to hack themselves or buy already hacked verified accounts. Not good. How we could help them? What if we just start verifying their own (bot) accounts? Let's see! 🤦‍♂️ https://twitter.com/...
  • @arthur_affect Arthur Chu on x
    I actually don't understand how obvious botfarms can get the blue check easier than my very real, very cool friends https://twitter.com/...
  • @carriecnh12 @carriecnh12 on x
    Twitter botched this entire process. Denial of verification seems completely arbitrary because what is this? What kind of algorithm did they create to give accounts like these verification, but not established ones? https://twitter.com/...
  • @brandyzadrozny Brandy Zadrozny on x
    I know several academics, published, top of the disinfo and extremism field and thus targets for impersonation, who can't get verified. Not sure how this can happen! https://twitter.com/...
  • @hackingbutlegal Jackie on x
    Fake bot accounts getting routinely verified sooner than established tweeters with large followings could indicate, as @alexstamos has astutely pointed out, the presence of insiders who are bribed to push the right buttons. I hope @TwitterSafety is putting those dots together. ht…
  • @profsunnysingh Sunny Singh on x
    Can't wait for the answer though I can guess (Have grown to enjoy my lack of blue tick after a decade plus of tweets 😁). https://twitter.com/...
  • @wongmjane Jane Manchun Wong on x
    Want to get verified? Become a bot 🤖 https://twitter.com/...