GHSA-95X9-5832-JCHC
Vulnerability from github – Published: 2026-09-16 12:30 – Updated: 2026-09-16 12:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
batman-adv: dat: avoid unaligned fault in IP extraction
Independent of the alignment of the ARP packet in the SKB, either the batadv_arp_ip_src or the batadv_arp_ip_dst will have an unaligned access (on HW without native unaligned read support).
Use get_unaligned() to handle this properly on all architectures.
{
"affected": [],
"aliases": [
"CVE-2026-89949"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-16T11:17:05Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbatman-adv: dat: avoid unaligned fault in IP extraction\n\nIndependent of the alignment of the ARP packet in the SKB, either the\nbatadv_arp_ip_src or the batadv_arp_ip_dst will have an unaligned access\n(on HW without native unaligned read support).\n\nUse get_unaligned() to handle this properly on all architectures.",
"id": "GHSA-95x9-5832-jchc",
"modified": "2026-09-16T12:30:42Z",
"published": "2026-09-16T12:30:42Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89949"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0121afa52cdb88cfb4d5d7bd126a23a9100121d8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0c2df865338bbf92aa45b9253e5f9b8ef2d9992f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/15dbfb37f0e1a085d48deeb8f5238e9d28127dde"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1cfa7d5f70d54cb8c7e82df739430782d1996ee1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/91c99b4e152023c7d458a5dedd52d2b0d7df4ce3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a170d4617e8cca05a1314de61728a262ef272782"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b1bbc694ca51adb8dbed3f3235b4fcbdb44e0e20"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c74a4acf41d19f21199dec2d6c813c90d31cd02c"
}
],
"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.
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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