GHSA-5X69-69GJ-GG3F
Vulnerability from github – Published: 2026-08-22 18:30 – Updated: 2026-08-22 18:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
net/sched: sch_cake: drop WARN_ON(1) for malformed packets in ACK filter
The sch_cake ACK filter parses packets to find the TCP header and filter duplicated ACKs if the flow is backlogged. The parsing code contains a WARN_ON(1) which can be triggered by a malformed IP header in certain cases. Depending on the system configuration, this leads either to either spamming dmesg with warnings, or a panic if panic_on_warn is set.
The code already correctly skips the offending packet in the branch that triggers the warning, so the WARN_ON itself doesn't really serve any purpose. So just drop it altogether to avoid the inconvenient side effects.
{
"affected": [],
"aliases": [
"CVE-2026-74704"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-22T16:16:45Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet/sched: sch_cake: drop WARN_ON(1) for malformed packets in ACK filter\n\nThe sch_cake ACK filter parses packets to find the TCP header and filter\nduplicated ACKs if the flow is backlogged. The parsing code contains a\nWARN_ON(1) which can be triggered by a malformed IP header in certain\ncases. Depending on the system configuration, this leads either to\neither spamming dmesg with warnings, or a panic if panic_on_warn is set.\n\nThe code already correctly skips the offending packet in the branch that\ntriggers the warning, so the WARN_ON itself doesn\u0027t really serve any\npurpose. So just drop it altogether to avoid the inconvenient side\neffects.",
"id": "GHSA-5x69-69gj-gg3f",
"modified": "2026-08-22T18:30:30Z",
"published": "2026-08-22T18:30:29Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74704"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0c4882bff34558d8d53fb04c3e96da5c327c7dc8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2504a76e5c0694e14e15562730e1339f2d9f9458"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2a33516f9ef59ad11844d4fc152f889449b5daf3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a1ae353d8355407c1bea971d1c1af5e7f242bb7d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a4b52612004a5639c4bfc30ba93ba414b8326e2a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ae1b2f8e21a41e7c7e75511bea0c4ccc59ec1bd3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c1693b7844a6c06d31a565e5a494948034dfd235"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cd2f1d9fe8a507c2dc86ad326fe221f121c47734"
}
],
"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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