GHSA-WC4V-22M8-HJ35
Vulnerability from github – Published: 2026-08-28 09:31 – Updated: 2026-08-29 09:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
perf tools: Use perf_env__get_cpu_topology() in machine__resolve()
machine__resolve() accesses env->cpu[al->cpu].socket_id after checking al->cpu >= 0 and env->cpu != NULL, but without validating al->cpu against env->nr_cpus_avail. Since al->cpu comes from the untrusted perf.data sample, a crafted file with a large CPU index causes an out-of-bounds heap read.
Use perf_env__get_cpu_topology() which validates both NULL and bounds. Also bounds-check al->cpu before the cast to struct perf_cpu (int16_t): without this, values like 65536 silently truncate to 0, bypassing the accessor's internal check and returning CPU 0's topology.
Severity
9.1 (Critical)
{
"affected": [],
"aliases": [
"CVE-2026-80670"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-28T08:16:52Z",
"severity": "CRITICAL"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nperf tools: Use perf_env__get_cpu_topology() in machine__resolve()\n\nmachine__resolve() accesses env-\u003ecpu[al-\u003ecpu].socket_id after checking\nal-\u003ecpu \u003e= 0 and env-\u003ecpu != NULL, but without validating al-\u003ecpu\nagainst env-\u003enr_cpus_avail. Since al-\u003ecpu comes from the untrusted\nperf.data sample, a crafted file with a large CPU index causes an\nout-of-bounds heap read.\n\nUse perf_env__get_cpu_topology() which validates both NULL and bounds.\nAlso bounds-check al-\u003ecpu before the cast to struct perf_cpu (int16_t):\nwithout this, values like 65536 silently truncate to 0, bypassing the\naccessor\u0027s internal check and returning CPU 0\u0027s topology.",
"id": "GHSA-wc4v-22m8-hj35",
"modified": "2026-08-29T09:30:27Z",
"published": "2026-08-28T09:31:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80670"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5484b43a0ec8231c36fba6ead654cb72dbba8b8f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b9e8406651dcc1c19238aad11861a758683525b4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/eb266a14c16a93eb4db7b56a452d6be93f8bdcd4"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/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.
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.
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.
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