Vulnerability-Lookup

GSD-2023-29218

Vulnerability from gsd - Updated: 2023-12-13 01:20

Details

** DISPUTED ** 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.

Aliases

CVE-2023-29218

Aliases

CVE-2023-29218

JSON

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{
  "GSD": {
    "alias": "CVE-2023-29218",
    "id": "GSD-2023-29218"
  },
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                "baseScore": 7.5,
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                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
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}

CVE-2023-29218 (GCVE-0-2023-29218)

Vulnerability from cvelistv5 – Published: 2023-04-03 00:00 – Updated: 2025-02-18 16:59 Disputed

Summary

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.

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-18 14:55 UTC

CWE

Assigner

mitre mitre root

References

6 references

URL	Tags
https://github.com/twitter/the-algorithm/issues/1386
https://twitter.com/elonmusk/status/1642324821324230657
https://steventey.com/blog/twitter-algorithm
https://twitter.com/aakashg0/status/1641976913165180929
https://twitter.com/Kaptain_Kobold/status/1642379…
https://github.com/twitter/the-algorithm/tree/ec8…

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.