CVE-2022-48771 (GCVE-0-2022-48771)
Vulnerability from cvelistv5 – Published: 2024-06-20 11:13 – Updated: 2026-08-05 08:52
VLAI
EPSS
VEX
Title
drm/vmwgfx: Fix stale file descriptors on failed usercopy
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/vmwgfx: Fix stale file descriptors on failed usercopy
A failing usercopy of the fence_rep object will lead to a stale entry in
the file descriptor table as put_unused_fd() won't release it. This
enables userland to refer to a dangling 'file' object through that still
valid file descriptor, leading to all kinds of use-after-free
exploitation scenarios.
Fix this by deferring the call to fd_install() until after the usercopy
has succeeded.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 17:09 UTC
Assigner
References
7 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
c906965dee22d5e95d0651759ba107b420212a9f , < e8d092a62449dcfc73517ca43963d2b8f44d0516
(git)
Affected: c906965dee22d5e95d0651759ba107b420212a9f , < 0008a0c78fc33a84e2212a7c04e6b21a36ca6f4d (git) Affected: c906965dee22d5e95d0651759ba107b420212a9f , < 84b1259fe36ae0915f3d6ddcea6377779de48b82 (git) Affected: c906965dee22d5e95d0651759ba107b420212a9f , < ae2b20f27732fe92055d9e7b350abc5cdf3e2414 (git) Affected: c906965dee22d5e95d0651759ba107b420212a9f , < 6066977961fc6f437bc064f628cf9b0e4571c56c (git) Affected: c906965dee22d5e95d0651759ba107b420212a9f , < 1d833b27fb708d6fdf5de9f6b3a8be4bd4321565 (git) Affected: c906965dee22d5e95d0651759ba107b420212a9f , < a0f90c8815706981c483a652a6aefca51a5e191c (git) |
guessed | |
| Linux | Linux |
Affected:
4.14
Unaffected: 0 , < 4.14 (semver) Unaffected: 4.14.264 , ≤ 4.14.* (semver) Unaffected: 4.19.227 , ≤ 4.19.* (semver) Unaffected: 5.4.175 , ≤ 5.4.* (semver) Unaffected: 5.10.95 , ≤ 5.10.* (semver) Unaffected: 5.15.18 , ≤ 5.15.* (semver) Unaffected: 5.16.4 , ≤ 5.16.* (semver) Unaffected: 5.17 , ≤ * (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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