CVE-2017-17773 (GCVE-0-2017-17773)
Vulnerability from cvelistv5 – Published: 2018-03-15 21:00 – Updated: 2024-08-05 20:59
VLAI
EPSS
VEX
Summary
In Snapdragon Automobile, Snapdragon Wearable and Snapdragon Mobile MDM9206,MDM9607,MDM9650,SD 210/SD 212/SD 205,SD 400,SD 410/12,SD 425,SD 430,SD 450,SD 600,SD 602A,SD 615/16/SD 415,SD 617,SD 625,SD 650/52,SD 800,SD 808,SD 810,SD 820,SD 820Am,SD 835,SD 845,MSM8909W, improper input validation in video_fmt_mp4r_process_atom_avc1() causes a potential buffer overflow.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://source.android.com/security/bulletin/2018-03-01 | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/103292 | vdb-entryx_refsource_BID |
Date Public
2018-03-05 00:00
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Party Advisory\",\"VDB Entry\"]},{\"url\":\"https://source.android.com/security/bulletin/2018-03-01\",\"source\":\"product-security@qualcomm.com\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"http://www.securityfocus.com/bid/103292\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\",\"VDB Entry\"]},{\"url\":\"https://source.android.com/security/bulletin/2018-03-01\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]}]}}"
}
}
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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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