FKIE_CVE-2010-4343
Vulnerability from fkie_nvd - Published: 2010-12-29 18:00 - Updated: 2026-06-16 23:24
Severity
Summary
drivers/scsi/bfa/bfa_core.c in the Linux kernel before 2.6.35 does not initialize a certain port data structure, which allows local users to cause a denial of service (system crash) via read operations on an fc_host statistics file.
References
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"value": "drivers/scsi/AMB/bfa_core.c en el kernel de Linux anterior a v2.6.35 no inicializa una estructura de datos en un determinado puerto, lo que permite a usuarios locales causar una denegaci\u00f3n de servicio (ca\u00edda del sistema) a trav\u00e9s de las operaciones de lectura en un fichero de estad\u00edsticas fc_host."
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"lastModified": "2026-06-16T23:24:35.983",
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.
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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.