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CVE-2024-49919 (GCVE-0-2024-49919)

Vulnerability from cvelistv5 – Published: 2024-10-21 18:01 – Updated: 2026-05-11 20:41
VLAI
Title
drm/amd/display: Add null check for head_pipe in dcn201_acquire_free_pipe_for_layer
Summary
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: Add null check for head_pipe in dcn201_acquire_free_pipe_for_layer This commit addresses a potential null pointer dereference issue in the `dcn201_acquire_free_pipe_for_layer` function. The issue could occur when `head_pipe` is null. The fix adds a check to ensure `head_pipe` is not null before asserting it. If `head_pipe` is null, the function returns NULL to prevent a potential null pointer dereference. Reported by smatch: drivers/gpu/drm/amd/amdgpu/../display/dc/resource/dcn201/dcn201_resource.c:1016 dcn201_acquire_free_pipe_for_layer() error: we previously assumed 'head_pipe' could be null (see line 1010)
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-22 13:40 UTC
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 4562236b3bc0a28aeb6ee93b2d8a849a4c4e1c7c , < 16ce8fd94da8599bb6f0496895d392a69aead1c0 (git)
Affected: 4562236b3bc0a28aeb6ee93b2d8a849a4c4e1c7c , < 390d757621f5f35d11a63ed7d9d3262ead240064 (git)
Affected: 4562236b3bc0a28aeb6ee93b2d8a849a4c4e1c7c , < 8a1b1655a490a492a5a6987254c935ecce4eb9de (git)
Affected: 4562236b3bc0a28aeb6ee93b2d8a849a4c4e1c7c , < f22f4754aaa47d8c59f166ba3042182859e5dff7 (git)
guessed Create a notification for this product.
Linux Linux Affected: 4.15
Unaffected: 0 , < 4.15 (semver)
Unaffected: 6.6.79 , ≤ 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 Create a notification for this product.
Show details on NVD website

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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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