CVE-2022-1734 (GCVE-0-2022-1734)
Vulnerability from cvelistv5 – Published: 2022-05-18 16:28 – Updated: 2024-08-03 00:16
VLAI
EPSS
VEX
Summary
A flaw in Linux Kernel found in nfcmrvl_nci_unregister_dev() in drivers/nfc/nfcmrvl/main.c can lead to use after free both read or write when non synchronized between cleanup routine and firmware download routine.
Severity
7.0 (High)
CWE
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/torvalds/linux/commit/d270453a… | x_refsource_MISC |
| http://www.openwall.com/lists/oss-security/2022/06/05/4 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2022/06/09/1 | mailing-listx_refsource_MLIST |
| https://lists.debian.org/debian-lts-announce/2022… | mailing-listx_refsource_MLIST |
| https://www.debian.org/security/2022/dsa-5173 | vendor-advisoryx_refsource_DEBIAN |
| https://security.netapp.com/advisory/ntap-2022070… | x_refsource_CONFIRM |
Impacted products
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"title": "kernel: Use-After-Free in NFC driver in nfcmrvl_nci_unregister_dev when simulating NFC device from user-space",
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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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