CVE-2017-0328 (GCVE-0-2017-0328)
Vulnerability from cvelistv5 – Published: 2017-04-05 14:00 – Updated: 2024-08-05 13:03
VLAI
EPSS
VEX
Summary
An information disclosure vulnerability in the NVIDIA crypto driver could enable a local malicious application to access data outside of its permission levels. This issue is rated as Moderate because it first requires compromising a privileged process. Product: Android. Versions: Kernel 3.10. Android ID: A-33898322. References: N-CVE-2017-0328.
Severity
4.7 (Medium)
CWE
- Information disclosure
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/97347 | vdb-entryx_refsource_BID |
| https://source.android.com/security/bulletin/2017… | x_refsource_CONFIRM |
| http://www.securitytracker.com/id/1038201 | vdb-entryx_refsource_SECTRACK |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Nvidia Corporation | Android |
Affected:
Kernel-3.10
|
guessed |
Date Public
2017-04-04 00:00
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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
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