CVE-2023-53633 (GCVE-0-2023-53633)
Vulnerability from cvelistv5 – Published: 2025-10-07 15:19 – Updated: 2026-05-11 19:48
VLAI
EPSS
VEX
Title
accel/qaic: Fix a leak in map_user_pages()
Summary
In the Linux kernel, the following vulnerability has been resolved:
accel/qaic: Fix a leak in map_user_pages()
If get_user_pages_fast() allocates some pages but not as many as we
wanted, then the current code leaks those pages. Call put_page() on
the pages before returning.
Severity
5.5 (Medium)
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
129776ac2e38231fa9c02ce20e116c99de291666 , < cdcba752a3d48fbe6f05cf2c91ab9497c8daad0c
(git)
Affected: 129776ac2e38231fa9c02ce20e116c99de291666 , < 73274c33d961f4aa0f968f763e2c9f4210b4f4a3 (git) |
guessed | |
| Linux | Linux |
Affected:
6.4
Unaffected: 0 , < 6.4 (semver) Unaffected: 6.4.7 , ≤ 6.4.* (semver) Unaffected: 6.5 , ≤ * (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
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