GHSA-FV42-PVCM-2C76
Vulnerability from github – Published: 2026-09-04 18:31 – Updated: 2026-09-04 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
crypto: mxs-dcp - fix source scatterlist length access
mxs_dcp_aes_block_crypt() uses sg_dma_len() without mapping the source scatterlist with dma_map_sg() first. Therefore, sg_dma_len() is invalid and could return zero or a stale DMA length, causing encryption and decryption to process the wrong number of bytes when CONFIG_NEED_SG_DMA_LENGTH=y.
Use the original scatterlist length instead.
{
"affected": [],
"aliases": [
"CVE-2026-80831"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-04T16:18:11Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: mxs-dcp - fix source scatterlist length access\n\nmxs_dcp_aes_block_crypt() uses sg_dma_len() without mapping the source\nscatterlist with dma_map_sg() first. Therefore, sg_dma_len() is invalid\nand could return zero or a stale DMA length, causing encryption and\ndecryption to process the wrong number of bytes when\nCONFIG_NEED_SG_DMA_LENGTH=y.\n\nUse the original scatterlist length instead.",
"id": "GHSA-fv42-pvcm-2c76",
"modified": "2026-09-04T18:31:28Z",
"published": "2026-09-04T18:31:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80831"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/04201dcc88b26eac52f736e39727fc5c420b7257"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0e9edb108a63bbbef952dfcbc597e34ed9c1fb74"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1537bd55b4f842565068c54b47cd2ae1777d5f8f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/182f16a20d329a1c818d51dad57d9bf43d356c7c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6ef9a4afb52cb102ab038cd42352c142d8505d09"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c5bcb084a9871e5b62afb5f48b60adfa13b5d9f8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/da14fae5203b72ca71ccfa9af8de9249e40d533a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e72a795df521cb65b7c4705cc11078cdacfaa2f4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fd0f211b27a6ec2ebd8c315683401b43adcc5511"
}
],
"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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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