CVE-2024-56697 (GCVE-0-2024-56697)
Vulnerability from cvelistv5 – Published: 2024-12-28 09:46 – Updated: 2026-05-11 20:57
VLAI
EPSS
VEX
Title
drm/amdgpu: Fix the memory allocation issue in amdgpu_discovery_get_nps_info()
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu: Fix the memory allocation issue in amdgpu_discovery_get_nps_info()
Fix two issues with memory allocation in amdgpu_discovery_get_nps_info()
for mem_ranges:
- Add a check for allocation failure to avoid dereferencing a null
pointer.
- As suggested by Christophe, use kvcalloc() for memory allocation,
which checks for multiplication overflow.
Additionally, assign the output parameters nps_type and range_cnt after
the kvcalloc() call to prevent modifying the output parameters in case
of an error return.
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-01 19:59 UTC
CWE
- CWE-476 - NULL Pointer Dereference
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Linux | Linux |
Affected:
b194d21b9bcc15b50df1bc3ff7428e51c2918a6f , < d14bea4e094871226ea69772d69dab8b7b5f4915
(git)
Affected: b194d21b9bcc15b50df1bc3ff7428e51c2918a6f , < e8f1dbaa0437eba4e8c1d6a6d81eca2e2ce3d197 (git) Affected: b194d21b9bcc15b50df1bc3ff7428e51c2918a6f , < a1144da794adedb9447437c57d69add56494309d (git) |
|
| Linux | Linux |
Affected:
6.11
Unaffected: 0 , < 6.11 (semver) Unaffected: 6.11.11 , ≤ 6.11.* (semver) Unaffected: 6.12.2 , ≤ 6.12.* (semver) Unaffected: 6.13 , ≤ * (original_commit_for_fix) |
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"assignerOrgId": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"assignerShortName": "Linux",
"cveId": "CVE-2024-56697",
"datePublished": "2024-12-28T09:46:20.728Z",
"dateReserved": "2024-12-27T15:00:39.850Z",
"dateUpdated": "2025-10-01T20:07:07.847Z",
"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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