CVE-2024-49991 (GCVE-0-2024-49991)
Vulnerability from cvelistv5 – Published: 2024-10-21 18:02 – Updated: 2026-08-05 11:40
VLAI
EPSS
VEX
Title
drm/amdkfd: amdkfd_free_gtt_mem clear the correct pointer
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/amdkfd: amdkfd_free_gtt_mem clear the correct pointer
Pass pointer reference to amdgpu_bo_unref to clear the correct pointer,
otherwise amdgpu_bo_unref clear the local variable, the original pointer
not set to NULL, this could cause use-after-free bug.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-22 13:31 UTC
Assigner
References
6 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
130e0371b7d454bb4a861253c822b9f911ad5d19 , < e7831613cbbcd9058d3658fbcdc5d5884ceb2e0c
(git)
Affected: 130e0371b7d454bb4a861253c822b9f911ad5d19 , < 30ceb873cc2e97348d9da2265b2d1ddf07f682e1 (git) Affected: 130e0371b7d454bb4a861253c822b9f911ad5d19 , < 71f3240f82987f0f070ea5bed559033de7d4c0e1 (git) Affected: 130e0371b7d454bb4a861253c822b9f911ad5d19 , < 6c9289806591807e4e3be9a23df8ee2069180055 (git) Affected: 130e0371b7d454bb4a861253c822b9f911ad5d19 , < c86ad39140bbcb9dc75a10046c2221f657e8083b (git) |
guessed | |
| Linux | Linux |
Affected:
4.3
Unaffected: 0 , < 4.3 (semver) Unaffected: 6.1.118 , ≤ 6.1.* (semver) Unaffected: 6.6.55 , ≤ 6.6.* (semver) Unaffected: 6.10.14 , ≤ 6.10.* (semver) Unaffected: 6.11.3 , ≤ 6.11.* (semver) Unaffected: 6.12 , ≤ * (original_commit_for_fix) |
guessed |
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},
{
"lang": "es",
"value": "En el kernel de Linux, se ha resuelto la siguiente vulnerabilidad: drm/amdkfd: amdkfd_free_gtt_mem borra el puntero correcto. Pase la referencia del puntero a amdgpu_bo_unref para borrar el puntero correcto; de lo contrario, amdgpu_bo_unref borra la variable local, el puntero original no est\u00e1 establecido en NULL, esto podr\u00eda causar un error de use after free."
}
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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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