CVE-2023-28427 (GCVE-0-2023-28427)
Vulnerability from cvelistv5 – Published: 2023-03-28 20:32 – Updated: 2025-02-18 20:03
VLAI
EPSS
VEX
Title
Prototype pollution in matrix-js-sdk
Summary
matrix-js-sdk is a Matrix messaging protocol Client-Server SDK for JavaScript. In versions prior to 24.0.0 events sent with special strings in key places can temporarily disrupt or impede the matrix-js-sdk from functioning properly, potentially impacting the consumer's ability to process data safely. Note that the matrix-js-sdk can appear to be operating normally but be excluding or corrupting runtime data presented to the consumer. This vulnerability is distinct from GHSA-rfv9-x7hh-xc32 which covers a similar issue. The issue has been patched in matrix-js-sdk 24.0.0 and users are advised to upgrade. There are no known workarounds for this vulnerability.
Severity
8.2 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-18 20:03 UTC
CWE
- CWE-1321 - Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
Assigner
References
5 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| matrix-org | matrix-js-sdk |
Affected:
< 24.0.0
|
guessed |
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{
"name": "https://matrix.org/blog/2023/03/28/security-releases-matrix-js-sdk-24-0-0-and-matrix-react-sdk-3-69-0",
"tags": [
"x_refsource_MISC"
],
"url": "https://matrix.org/blog/2023/03/28/security-releases-matrix-js-sdk-24-0-0-and-matrix-react-sdk-3-69-0"
},
{
"url": "https://www.debian.org/security/2023/dsa-5392"
},
{
"url": "https://lists.debian.org/debian-lts-announce/2023/04/msg00027.html"
},
{
"url": "https://security.gentoo.org/glsa/202305-36"
}
],
"source": {
"advisory": "GHSA-mwq8-fjpf-c2gr",
"discovery": "UNKNOWN"
},
"title": "Prototype pollution in matrix-js-sdk"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2023-28427",
"datePublished": "2023-03-28T20:32:22.116Z",
"dateReserved": "2023-03-15T15:59:10.050Z",
"dateUpdated": "2025-02-18T20:03:47.555Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- 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.
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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
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.
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