CVE-2023-36459 (GCVE-0-2023-36459)
Vulnerability from cvelistv5 – Published: 2023-07-06 18:29 – Updated: 2025-02-13 16:56
VLAI
EPSS
VEX
Title
Mastodon vulnerable to Cross-site Scripting through oEmbed preview cards
Summary
Mastodon is a free, open-source social network server based on ActivityPub. Starting in version 1.3 and prior to versions 3.5.9, 4.0.5, and 4.1.3, an attacker using carefully crafted oEmbed data can bypass the HTML sanitization performed by Mastodon and include arbitrary HTML in oEmbed preview cards. This introduces a vector for cross-site scripting (XSS) payloads that can be rendered in the user's browser when a preview card for a malicious link is clicked through. Versions 3.5.9, 4.0.5, and 4.1.3 contain a patch for this issue.
Severity
9.3 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-14 14:07 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
GitHub_M
CNA
References
6 references
| URL | Tags |
|---|---|
| https://github.com/mastodon/mastodon/security/adv… | x_refsource_CONFIRM |
| https://github.com/mastodon/mastodon/commit/6d8e0… | x_refsource_MISC |
| https://github.com/mastodon/mastodon/releases/tag… | x_refsource_MISC |
| https://github.com/mastodon/mastodon/releases/tag… | x_refsource_MISC |
| https://github.com/mastodon/mastodon/releases/tag… | x_refsource_MISC |
| http://www.openwall.com/lists/oss-security/2023/07/06/5 |
Impacted products
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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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.
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.
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Related by attack behaviour
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