GHSA-2HHX-GJ64-2962
Vulnerability from github – Published: 2026-09-25 12:31 – Updated: 2026-09-25 15:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
bpf: Don't predict JMP32 pointer vs zero comparisons
Consider the following program:
r1 = map_value; /* low 32 bits are zero at runtime */
r6 = 0xdead000000000000;
if w1 != 0 goto l1;
l0: r1 += r6;
r2 = *(u64 *)(r1 + 0);
exit;
l1: r6 = 0;
goto l0;
At the moment is_branch_taken() reports the jump as always taken, because it does not distinguish between BPF_JMP and BPF_JMP32 comparisons when processing 'if w1 != 0 ...'.
Severity
7.0 (High)
{
"affected": [],
"aliases": [
"CVE-2026-98041"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-25T11:17:32Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbpf: Don\u0027t predict JMP32 pointer vs zero comparisons\n\nConsider the following program:\n\n r1 = map_value; /* low 32 bits are zero at runtime */\n r6 = 0xdead000000000000;\n if w1 != 0 goto l1;\n l0: r1 += r6;\n r2 = *(u64 *)(r1 + 0);\n exit;\n l1: r6 = 0;\n goto l0;\n\nAt the moment is_branch_taken() reports the jump as always taken,\nbecause it does not distinguish between BPF_JMP and BPF_JMP32\ncomparisons when processing \u0027if w1 != 0 ...\u0027.",
"id": "GHSA-2hhx-gj64-2962",
"modified": "2026-09-25T15:31:44Z",
"published": "2026-09-25T12:31:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-98041"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a4d7f94c1ca914469ced665ec2f98be669aef462"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d16f0eafcaa62e677a2b5b0dabc1f8d31dfe3d4d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e2ae33247e8b2dbe9d116d3e61cadf6d548339c6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e51179a4e09846f8fd0f26a05068520de2b301bf"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/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.
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
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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