GSD-2022-28196
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
NVIDIA Jetson Linux Driver Package contains a vulnerability in the Cboot blob_decompress function, where insufficient validation of untrusted data may allow a local attacker with elevated privileges to cause a memory buffer overflow, which may lead to code execution, limited loss of Integrity, and limited denial of service. The scope of impact can extend to other components.
Aliases
Aliases
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"alias": "CVE-2022-28196",
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"id": "GSD-2022-28196"
},
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"modified": "2023-12-13T01:19:34.406377Z",
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"lastModifiedDate": "2023-06-28T13:59Z",
"publishedDate": "2022-04-27T18:15Z"
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}
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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.
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- Patched: The vulnerability was 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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