CVE-2022-48654 (GCVE-0-2022-48654)
Vulnerability from cvelistv5 – Published: 2024-04-28 13:00 – Updated: 2026-08-05 08:51
VLAI
EPSS
VEX
Title
netfilter: nfnetlink_osf: fix possible bogus match in nf_osf_find()
Summary
In the Linux kernel, the following vulnerability has been resolved:
netfilter: nfnetlink_osf: fix possible bogus match in nf_osf_find()
nf_osf_find() incorrectly returns true on mismatch, this leads to
copying uninitialized memory area in nft_osf which can be used to leak
stale kernel stack data to userspace.
Severity
7.1 (High)
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-16 20:35 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
22c7652cdaa8cd33ce78bacceb4e826a3f795873 , < 721ea8ac063d70c2078c4e762212705de6151764
(git)
Affected: 22c7652cdaa8cd33ce78bacceb4e826a3f795873 , < 5d75fef3e61e797fab5c3fbba88caa74ab92ad47 (git) Affected: 22c7652cdaa8cd33ce78bacceb4e826a3f795873 , < 816eab147e5c6f6621922b8515ad9010ceb1735e (git) Affected: 22c7652cdaa8cd33ce78bacceb4e826a3f795873 , < 633c81c0449663f57d4138326d036dc6cfad674e (git) Affected: 22c7652cdaa8cd33ce78bacceb4e826a3f795873 , < 559c36c5a8d730c49ef805a72b213d3bba155cc8 (git) |
guessed | |
| Linux | Linux |
Affected:
5.2
Unaffected: 0 , < 5.2 (semver) Unaffected: 5.4.215 , ≤ 5.4.* (semver) Unaffected: 5.10.146 , ≤ 5.10.* (semver) Unaffected: 5.15.71 , ≤ 5.15.* (semver) Unaffected: 5.19.12 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed |
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"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-48654.json",
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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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