Twitter 'Shadow Ban' Bug Gets Official CVE

A flaw in Twitter code allows bot abuse to trick the algorithm into suppressing certain accounts.

Dark Reading Staff, Dark Reading

April 6, 2023

1 Min Read
Twitter page for CEO Elon Musk
Source: SOPA Images Limited via Alamy Stock Photo

A vulnerability in Twitter's code was recently discovered that allows users to game the algorithm with mass blocking actions from large numbers of accounts, in an effort to suppress specific users showing up in people's feeds — essentially, it allows bot-created "shadow bans" in the parlance of social media censorship critics.

Now, the flaw has been assigned a CVE number as an officially recognized security vulnerability: CVE-2023-29218.

"The Twitter Recommendation Algorithm through ec83d01 allows attackers to cause a denial of service (reduction of reputation score) by arranging for multiple Twitter accounts to coordinate negative signals regarding a target account, such as unfollowing, muting, blocking, and reporting, as exploited in the wild in March and April 2023," the MITRE CVE entry explained.

The vulnerability was first flagged by infosec researcher Federico Andres Lois after analyzing Twitter's source code, which was leaked to the public and later posted on GitHub by Twitter as part of its commitment to transparency.

The bug means that botnet armies have the ability to game the algorithm with mass blocks, mutes, abuse reports, spam reports, and unfollows to drive down the number of times specific accounts show up in Twitter's recommendation engine.

"The current implementation allows for coordinated hurting of account reputation without recourse," Lois wrote in his disclosure. "Any other time I would just report this information using a vulnerability channel, but given that this is already popular knowledge there is no use to do so."

The vulnerability has since been discovered by others, prompting a cryptic, yet splashy, response from Twitter CEO Elon Musk.

"Who is behind these botnets?" Musk tweeted. "Million dollar bounty if convicted."

About the Author(s)

Dark Reading Staff

Dark Reading

Dark Reading is a leading cybersecurity media site.

Keep up with the latest cybersecurity threats, newly discovered vulnerabilities, data breach information, and emerging trends. Delivered daily or weekly right to your email inbox.

You May Also Like

More Insights