It's October 1st, which is as good a day as any to look at yet another fake follower botnet. This network consists of (at least) 95848 accounts created between December 25th, 2016 and December 31st, 2017.
The accounts in this botnet have much in common. All have account names consisting of random lowercase letters followed by 1-4 digits, Japanese display names, few or no followers, few or no likes, and tweet(ed) exclusively via the Twitter Web Client. Most tweets are in Japanese.
How did we find the set of accounts in the network? We noticed ~20000 of them following @Arslan_Sadiq, and mapped out the rest of the botnet by checking the followers of the other accounts they followed for additional accounts that fit the pattern.
Most of the accounts followed by this botnet are Japanese-language accounts, although a few English-language accounts with large followings turn up as well, including @realDonaldTrump, @katyperry, and @CNN.
In addition to following accounts en masse, this botnet also posts original tweets and retweets. The original tweets are almost all in Japanese and many are repeated across accounts. As always, take the Google translations with a large grain of salt.
The accounts retweeted by this botnet are pretty much all Japanese-language accounts. As is often the case with tweets that have been astroturfed, many of the tweets they amplify have garnered far more retweets than likes.
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It's New Year's Eve, and a bunch of politics enthusiasts with GAN-generated faces are enthusiastically replying to a variety of posts with similarly-worded replies. #NewYearShenaniGANs
cc: @ZellaQuixote
The politics enthusiasts are part of a spam network consisting of (at least) 575 accounts created between May and December 2023 with GAN-generated faces. Many of their handles, such as @Maairiuieinaaa and @eJooeiaAoneueer, contain long strings of vowels.
@Maairiuieinaaa @eJooeiaAoneueer All 575 of these accounts use StyleGAN-generated faces as profile images. Some of these, such as @MauMoiagaia's profile image, contain a tiny "StyleGAN 2 (Karras et al.)" watermark in the lower right corner.
It's a great day to look at a network of inauthentic accounts that post identical AI art images (with a side of good old fashioned T-shirt spam).
cc: @ZellaQuixote
This network consists of 24 X accounts. 12 of these accounts were created in the latter half of 2023 and have female avatars, while the other 12 were created in 2013 or earlier and have male avatars.
The 12 accounts with female avatars and 2023 creation dates regularly post AI-generated art images, and these image posts are quickly reposted by other accounts in the network (both female and male). The AI-generated images are often duplicated across accounts.
Meet @ImJamesMiller (permanent ID 1371651462153994242), an account with a GAN-generated face, 172K followers, and no tweets prior to two days ago. What's up with that?
cc: @ZellaQuixote
As it turns out, @ImJamesMiller wasn't always named @ImJamesMiller. In June, the account was named @/IamJimCaviezel in an apparent attempt to impersonate Sound of Freedom actor Jim Caviezel.
@ImJamesMiller Multiple prominent users appear to have accepted the fake Jim Caviezel account as legitimate, including Texas Congressman Brian Babin, right-wing influencer/ex-Game of Thrones blogger Jack Posobiec, and recently indicted ex-Assistant Attorney General Jeff Clark.
It's a great day to look at a network of Bluesky spam accounts with randomized names. #SundaySpam
cc: @ZellaQuixote
This spam network consists of (at least) 401 accounts, all of which were created (or added to the Bluesky app view) in August 2023. These accounts do not follow each other; rather, each one follows a small number of popular Bluesky accounts.
The accounts in this network cycle rhythmically between posting three types of content:
• reposts
• posts containing links to news articles
• posts containing links to news articles accompanied by images
Meet @thisisorange, a Twitter account created in February 2022 with a gold "verified organization" badge, thousands of batch-created fake followers, and a couple other interesting traits.
Verified organizations on Twitter can verify affiliated accounts (employees, teams, brand names, etc), which receive blue checkmarks as well as an organization badge (help.twitter.com/en/using-twitt…). The @thisisorange account has thousands of affiliates, mostly cryptocurrency accounts.
How did this come about? The website linked on @thisisorange's profile (orange dot associates) apparently allows one to become an affiliate simply by providing a Twitter account and a cryptocurrency wallet.