CVE-2023-53171 (GCVE-0-2023-53171)
Vulnerability from cvelistv5 – Published: 2025-09-15 14:04 – Updated: 2026-05-11 19:39
VLAI
EPSS
VEX
Title
vfio/type1: prevent underflow of locked_vm via exec()
Summary
In the Linux kernel, the following vulnerability has been resolved:
vfio/type1: prevent underflow of locked_vm via exec()
When a vfio container is preserved across exec, the task does not change,
but it gets a new mm with locked_vm=0, and loses the count from existing
dma mappings. If the user later unmaps a dma mapping, locked_vm underflows
to a large unsigned value, and a subsequent dma map request fails with
ENOMEM in __account_locked_vm.
To avoid underflow, grab and save the mm at the time a dma is mapped.
Use that mm when adjusting locked_vm, rather than re-acquiring the saved
task's mm, which may have changed. If the saved mm is dead, do nothing.
locked_vm is incremented for existing mappings in a subsequent patch.
Severity
5.5 (Medium)
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
73fa0d10d077d9521ee2dace2307ae2c9a965336 , < 5a271242716846cc016736fb76be2b40ee49b0c3
(git)
Affected: 73fa0d10d077d9521ee2dace2307ae2c9a965336 , < eafb81c50da899dd80b340c841277acc4a1945b7 (git) Affected: 73fa0d10d077d9521ee2dace2307ae2c9a965336 , < a6b2aabe664098d5cf877ae0fd96459464a30e17 (git) Affected: 73fa0d10d077d9521ee2dace2307ae2c9a965336 , < b0790dff0760b7734cf0961f497ad64628ca550b (git) Affected: 73fa0d10d077d9521ee2dace2307ae2c9a965336 , < 046eca5018f8a5dd1dc2cedf87fb5843b9ea3026 (git) |
guessed | |
| Linux | Linux |
Affected:
3.6
Unaffected: 0 , < 3.6 (semver) Unaffected: 5.10.173 , ≤ 5.10.* (semver) Unaffected: 5.15.99 , ≤ 5.15.* (semver) Unaffected: 6.1.16 , ≤ 6.1.* (semver) Unaffected: 6.2.3 , ≤ 6.2.* (semver) Unaffected: 6.3 , ≤ * (original_commit_for_fix) |
guessed |
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"title": "kernel: Linux kernel: Denial of Service in vfio/type1 due to locked_vm underflow",
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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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