GHSA-6CXH-HVRC-PX7M
Vulnerability from github – Published: 2022-05-13 01:24 – Updated: 2022-05-13 01:24
VLAI
Details
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)
{
"affected": [],
"aliases": [
"CVE-2016-2063"
],
"database_specific": {
"cwe_ids": [
"CWE-119"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2016-08-07T21:59:00Z",
"severity": "HIGH"
},
"details": "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.",
"id": "GHSA-6cxh-hvrc-px7m",
"modified": "2022-05-13T01:24:20Z",
"published": "2022-05-13T01:24:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-2063"
},
{
"type": "WEB",
"url": "https://us.codeaurora.org/cgit/quic/la/kernel/msm-3.10/commit/?id=ab3f46119ca10de87a11fe966b0723c48f27acd4"
},
{
"type": "WEB",
"url": "https://www.codeaurora.org/stack-overflow-msm-thermal-driver-allows-kernel-memory-corruption-cve-2016-2063"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/92381"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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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.
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