CVE-2016-2063 (GCVE-0-2016-2063)
Vulnerability from cvelistv5 – Published: 2016-08-07 21:00 – Updated: 2024-08-05 23:17
VLAI
EPSS
VEX
Summary
Stack-based buffer overflow in the supply_lm_input_write function in drivers/thermal/supply_lm_core.c in the MSM Thermal driver for the Linux kernel 3.x, as used in Qualcomm Innovation Center (QuIC) Android contributions for MSM devices and other products, allows attackers to cause a denial of service or possibly have unspecified other impact via a crafted application that sends a large amount of data through the debugfs interface.
Severity
7.8 (High)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/92381 | vdb-entryx_refsource_BID |
| https://us.codeaurora.org/cgit/quic/la/kernel/msm… | x_refsource_CONFIRM |
| https://www.codeaurora.org/stack-overflow-msm-the… | x_refsource_CONFIRM |
Date Public
2016-06-06 00:00
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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
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