GHSA-FPGC-GPFG-74F9
Vulnerability from github – Published: 2026-09-11 21:31 – Updated: 2026-09-14 15:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
nfsd: fix XDR padding calculation in ff_encode_getdeviceinfo
nfsd4_ff_encode_getdeviceinfo() computes the da_addr_body reservation as 16 + netid_len + addr_len, but the subsequent xdr_encode_opaque() calls emit 8 + round_up(netid_len, 4) + round_up(addr_len, 4) bytes. The mismatch means the declared da_addr_body length exceeds the actual encoded data by 2-8 bytes on every flexfile GETDEVICEINFO reply, leaking stale reply-page content to the client and mis-aligning the subsequent version list decode.
Use xdr_align_size() for each string length to match what xdr_encode_opaque() actually writes.
{
"affected": [],
"aliases": [
"CVE-2026-89673"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-11T20:19:53Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnfsd: fix XDR padding calculation in ff_encode_getdeviceinfo\n\nnfsd4_ff_encode_getdeviceinfo() computes the da_addr_body reservation\nas 16 + netid_len + addr_len, but the subsequent xdr_encode_opaque()\ncalls emit 8 + round_up(netid_len, 4) + round_up(addr_len, 4) bytes.\nThe mismatch means the declared da_addr_body length exceeds the actual\nencoded data by 2-8 bytes on every flexfile GETDEVICEINFO reply,\nleaking stale reply-page content to the client and mis-aligning the\nsubsequent version list decode.\n\nUse xdr_align_size() for each string length to match what\nxdr_encode_opaque() actually writes.",
"id": "GHSA-fpgc-gpfg-74f9",
"modified": "2026-09-14T15:32:33Z",
"published": "2026-09-11T21:31:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89673"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/41ebca28e17f84293650598f86bd69532ec1a8e0"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/62e5949f0dd5ec837af144860ff908369df4c7c9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/74015b7be806ad9e21d46f7bd2831df280c6c783"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/88bce7e326c368d7df15126ccac537e54bebd467"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8b989aaec85e1293a871d602590c951fe44b8647"
}
],
"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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