CVE-2025-21995 (GCVE-0-2025-21995)
Vulnerability from cvelistv5 – Published: 2025-04-03 07:18 – Updated: 2026-05-11 21:10
VLAI
EPSS
VEX
Title
drm/sched: Fix fence reference count leak
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/sched: Fix fence reference count leak
The last_scheduled fence leaks when an entity is being killed and adding
the cleanup callback fails.
Decrement the reference count of prev when dma_fence_add_callback()
fails, ensuring proper balance.
[phasta: add git tag info for stable kernel]
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-01 18:15 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
2fdb8a8f07c2f1353770a324fd19b8114e4329ac , < c76bd3c99293834de7d1dca5de536616d5655e38
(git)
Affected: 2fdb8a8f07c2f1353770a324fd19b8114e4329ac , < 1135a9431160575466ea9ac37ebd756ecbe35fff (git) Affected: 2fdb8a8f07c2f1353770a324fd19b8114e4329ac , < 35399c84dcedd6d31448fb9e1336ef52673f2882 (git) Affected: 2fdb8a8f07c2f1353770a324fd19b8114e4329ac , < a952f1ab696873be124e31ce5ef964d36bce817f (git) |
guessed | |
| Linux | Linux |
Affected:
6.2
Unaffected: 0 , < 6.2 (semver) Unaffected: 6.6.85 , ≤ 6.6.* (semver) Unaffected: 6.12.21 , ≤ 6.12.* (semver) Unaffected: 6.13.9 , ≤ 6.13.* (semver) Unaffected: 6.14 , ≤ * (original_commit_for_fix) |
guessed |
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"vendor": "Linux",
"versions": [
{
"status": "affected",
"version": "6.2"
},
{
"lessThan": "6.2",
"status": "unaffected",
"version": "0",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.6.*",
"status": "unaffected",
"version": "6.6.85",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.12.*",
"status": "unaffected",
"version": "6.12.21",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.13.*",
"status": "unaffected",
"version": "6.13.9",
"versionType": "semver"
},
{
"lessThanOrEqual": "*",
"status": "unaffected",
"version": "6.14",
"versionType": "original_commit_for_fix"
}
]
}
],
"cpeApplicability": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"versionEndExcluding": "6.6.85",
"versionStartIncluding": "6.2",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"versionEndExcluding": "6.12.21",
"versionStartIncluding": "6.2",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"versionEndExcluding": "6.13.9",
"versionStartIncluding": "6.2",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"versionEndExcluding": "6.14",
"versionStartIncluding": "6.2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/sched: Fix fence reference count leak\n\nThe last_scheduled fence leaks when an entity is being killed and adding\nthe cleanup callback fails.\n\nDecrement the reference count of prev when dma_fence_add_callback()\nfails, ensuring proper balance.\n\n[phasta: add git tag info for stable kernel]"
}
],
"providerMetadata": {
"dateUpdated": "2026-05-11T21:10:36.364Z",
"orgId": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"shortName": "Linux"
},
"references": [
{
"url": "https://git.kernel.org/stable/c/c76bd3c99293834de7d1dca5de536616d5655e38"
},
{
"url": "https://git.kernel.org/stable/c/1135a9431160575466ea9ac37ebd756ecbe35fff"
},
{
"url": "https://git.kernel.org/stable/c/35399c84dcedd6d31448fb9e1336ef52673f2882"
},
{
"url": "https://git.kernel.org/stable/c/a952f1ab696873be124e31ce5ef964d36bce817f"
}
],
"title": "drm/sched: Fix fence reference count leak",
"x_generator": {
"engine": "bippy-1.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"assignerShortName": "Linux",
"cveId": "CVE-2025-21995",
"datePublished": "2025-04-03T07:18:59.178Z",
"dateReserved": "2024-12-29T08:45:45.801Z",
"dateUpdated": "2026-05-11T21:10:36.364Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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