CVE-2023-52494 (GCVE-0-2023-52494)
Vulnerability from cvelistv5 – Published: 2024-02-29 15:52 – Updated: 2026-07-24 14:33
VLAI
EPSS
VEX
Title
bus: mhi: host: Add alignment check for event ring read pointer
Summary
In the Linux kernel, the following vulnerability has been resolved:
bus: mhi: host: Add alignment check for event ring read pointer
Though we do check the event ring read pointer by "is_valid_ring_ptr"
to make sure it is in the buffer range, but there is another risk the
pointer may be not aligned. Since we are expecting event ring elements
are 128 bits(struct mhi_ring_element) aligned, an unaligned read pointer
could lead to multiple issues like DoS or ring buffer memory corruption.
So add a alignment check for event ring read pointer.
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-12 14:58 UTC
Assigner
References
6 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
a1d2bd164c1c78f87968b7883964175ec41c32ae , < 76ed0c6f6418cec6efe6f65a0b91f84be80b72eb
(git)
Affected: ec32332df7645e0ba463a08d483fe97665167071 , < 94991728c84f8df54fd9eec9b85855ef9057ea08 (git) Affected: ec32332df7645e0ba463a08d483fe97665167071 , < 2df39ac8f813860f79782807c3f7acff40b3c551 (git) Affected: ec32332df7645e0ba463a08d483fe97665167071 , < a9ebfc405fe1be145f414eafadcbf09506082010 (git) Affected: ec32332df7645e0ba463a08d483fe97665167071 , < ecf8320111822a1ae5d5fc512953eab46d543d0b (git) Affected: ec32332df7645e0ba463a08d483fe97665167071 , < eff9704f5332a13b08fbdbe0f84059c9e7051d5f (git) Affected: fd5f40fc887485a8b9a6806a640a0d8e0ef1afb6 (git) Affected: 76879a980cd5ede4cb9a638999fb80d37bc09db5 (git) Affected: 5.10.36 , < 5.10.261 (semver) Affected: 5.11.20 , < 5.12 (semver) Affected: 5.12.3 , < 5.13 (semver) |
guessed | |
| Linux | Linux |
Affected:
5.13
Unaffected: 0 , < 5.13 (semver) Unaffected: 5.10.261 , ≤ 5.10.* (semver) Unaffected: 5.15.149 , ≤ 5.15.* (semver) Unaffected: 6.1.76 , ≤ 6.1.* (semver) Unaffected: 6.6.15 , ≤ 6.6.* (semver) Unaffected: 6.7.3 , ≤ 6.7.* (semver) Unaffected: 6.8 , ≤ * (original_commit_for_fix) |
guessed |
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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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