GHSA-PW7C-6M3H-4WVR
Vulnerability from github – Published: 2026-09-03 15:32 – Updated: 2026-09-03 15:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/log: Fix infinite loop when scale is too large for display
When scale is large enough that scaled_font exceeds the display dimensions, rows or columns become 0. A columns value of 0 causes an infinite loop in drm_log_draw_kmsg_record() because the loop never decrements len.
Check for zero rows/columns in drm_log_setup_modeset() and return an error, cleaning up the already allocated buffer to avoid a leak.
{
"affected": [],
"aliases": [
"CVE-2026-80740"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-03T13:06:13Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/log: Fix infinite loop when scale is too large for display\n\nWhen scale is large enough that scaled_font exceeds the display\ndimensions, rows or columns become 0. A columns value of 0 causes\nan infinite loop in drm_log_draw_kmsg_record() because the loop\nnever decrements len.\n\nCheck for zero rows/columns in drm_log_setup_modeset() and return\nan error, cleaning up the already allocated buffer to avoid a leak.",
"id": "GHSA-pw7c-6m3h-4wvr",
"modified": "2026-09-03T15:32:15Z",
"published": "2026-09-03T15:32:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80740"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/50ca4dbbaf3eb6deb74daca360b4dabc739a6fa6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a7d172b27aa3e1ad56e39949bfe4e5caa25fb20b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f4f2bba28df9b9aaa00262a462139dbbcdc38d9f"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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