CVE-2022-48893 (GCVE-0-2022-48893)
Vulnerability from cvelistv5 – Published: 2024-08-21 06:10 – Updated: 2026-05-11 18:49
VLAI
EPSS
VEX
Title
drm/i915/gt: Cleanup partial engine discovery failures
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/i915/gt: Cleanup partial engine discovery failures
If we abort driver initialisation in the middle of gt/engine discovery,
some engines will be fully setup and some not. Those incompletely setup
engines only have 'engine->release == NULL' and so will leak any of the
common objects allocated.
v2:
- Drop the destroy_pinned_context() helper for now. It's not really
worth it with just a single callsite at the moment. (Janusz)
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 16:04 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
7d70a1233d11ce9286e1a04c4f1bcd263e3e405e , < 78350c36fb15afef423404a83dcbc5c558dce795
(git)
Affected: 7d70a1233d11ce9286e1a04c4f1bcd263e3e405e , < 7d21587d35bc816c85a51b8686f0f7e8e676fb14 (git) Affected: 7d70a1233d11ce9286e1a04c4f1bcd263e3e405e , < 5c855bcc730656c4b7d30aaddcd0eafc7003e112 (git) Affected: 7d70a1233d11ce9286e1a04c4f1bcd263e3e405e , < 78a033433a5ae4fee85511ee075bc9a48312c79e (git) |
guessed | |
| Linux | Linux |
Affected:
5.6
Unaffected: 0 , < 5.6 (semver) Unaffected: 5.10.237 , ≤ 5.10.* (semver) Unaffected: 5.15.181 , ≤ 5.15.* (semver) Unaffected: 6.1.7 , ≤ 6.1.* (semver) Unaffected: 6.2 , ≤ * (original_commit_for_fix) |
guessed |
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"cveId": "CVE-2022-48893",
"datePublished": "2024-08-21T06:10:25.448Z",
"dateReserved": "2024-08-21T06:06:23.290Z",
"dateUpdated": "2026-05-11T18:49:13.142Z",
"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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