CVE-2023-52825 (GCVE-0-2023-52825)
Vulnerability from cvelistv5 – Published: 2024-05-21 15:31 – Updated: 2026-08-05 09:11
VLAI
EPSS
VEX
Title
drm/amdkfd: Fix a race condition of vram buffer unref in svm code
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/amdkfd: Fix a race condition of vram buffer unref in svm code
prange->svm_bo unref can happen in both mmu callback and a callback after
migrate to system ram. Both are async call in different tasks. Sync svm_bo
unref operation to avoid random "use-after-free".
Severity
7.8 (High)
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-29 17:19 UTC
CWE
- CWE-362 - Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
e49fe4040a10c1cd3b215c511f658d15aa7c8be9 , < 7d43cdd22cd81a2b079e864c4321b9aba4c6af34
(git)
Affected: e49fe4040a10c1cd3b215c511f658d15aa7c8be9 , < 50f35a907c4f9ed431fd3dbb8b871ef1cbb0718e (git) Affected: e49fe4040a10c1cd3b215c511f658d15aa7c8be9 , < c772eacbd6d0845fc922af8716bb9d29ae27b8cf (git) Affected: e49fe4040a10c1cd3b215c511f658d15aa7c8be9 , < fc0210720127cc6302e6d6f3de48f49c3fcf5659 (git) Affected: e49fe4040a10c1cd3b215c511f658d15aa7c8be9 , < 709c348261618da7ed89d6c303e2ceb9e453ba74 (git) |
guessed | |
| Linux | Linux |
Affected:
5.14
Unaffected: 0 , < 5.14 (semver) Unaffected: 5.15.140 , ≤ 5.15.* (semver) Unaffected: 6.1.64 , ≤ 6.1.* (semver) Unaffected: 6.5.13 , ≤ 6.5.* (semver) Unaffected: 6.6.3 , ≤ 6.6.* (semver) Unaffected: 6.7 , ≤ * (original_commit_for_fix) |
guessed |
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"current_release_date": "2026-08-04T19:23:12+00:00",
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"id": "CVE-2023-52825",
"initial_release_date": "2023-01-01T00:00:00+00:00",
"product_status:known_not_affected": "198",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: drm/amdkfd: Fix a race condition of vram buffer unref in svm code",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-52825.json",
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},
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"product_status:known_affected": "275",
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"product_status:recommended": "835",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2023-52825",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2023-52825.json",
"version": "84"
},
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Both are async call in different tasks. 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}
}
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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.
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.
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