VYPR
Unrated severityNVD Advisory· Published Apr 3, 2023· Updated Feb 18, 2025

CVE-2023-29218

CVE-2023-29218

Description

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. NOTE: Vendor states that allowing users to unfollow, mute, block, and report tweets and accounts and the impact of these negative engagements on Twitter’s ranking algorithm is a conscious design decision, rather than a security vulnerability.

AI Insight

LLM-synthesized narrative grounded in this CVE's description and references.

Affected products

2
  • Twitter/Twitter Recommendation Algorithmdescription
  • Twitter/Twitterllm-fuzzy
    Range: <= ec83d01

Patches

Vulnerability mechanics

Root cause

"The recommendation algorithm applies global reputation penalties based on negative signals (unfollows, mutes, blocks, reports) without distinguishing coordinated, inorganic actions from organic user behavior, allowing attackers to artificially depress a target account's score."

Attack vector

An attacker organizes a group of coordinated accounts (e.g., via botnets or block-list apps) to perform a sequence of negative actions against a target account: following then unfollowing, reporting borderline posts, muting, and finally blocking [ref_id=1]. These signals accumulate as global penalties in the recommendation algorithm, reducing the target's reputation multiplier regardless of the target's own behavior or content quality [ref_id=1]. The attack requires no special network access — only standard Twitter API or client actions — and the target has no visibility into the penalty or ability to reverse it [ref_id=1].

Affected code

The bundle does not identify specific functions or file paths. The issue [ref_id=1] describes the vulnerability as affecting "global penalties" within the recommendation algorithm, which are applied based on accumulated negative signals such as unfollows, mutes, blocks, and reports.

What the fix does

No patch is provided in the bundle. The issue report [ref_id=1] recommends that no global penalty should be applied because coordinated signals can easily be gamed, and any penalties should instead be applied at the content level. The vendor's position, as stated in the CVE description, is that allowing users to unfollow, mute, block, and report and the impact of these negative engagements on the ranking algorithm is a conscious design decision, not a security vulnerability.

Preconditions

  • inputAttacker must control or coordinate multiple Twitter accounts (e.g., via botnet, block-list apps, or organized groups)
  • inputTarget account must exist and be identifiable by the attacker group
  • authNo authentication bypass needed — standard Twitter client actions suffice

Reproduction

Organize a group of coordinated accounts. Have them follow the target account, then after a few days unfollow. Next, have them report a few borderline posts from the target. Then have them mute the target. Finally, have them block the target [ref_id=1]. The target's recommendation algorithm reputation score will be reduced by the accumulated global penalties.

Generated on May 26, 2026. Inputs: CWE entries + fix-commit diffs from this CVE's patches. Citations validated against bundle.

References

6

News mentions

0

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