GHSA-8V35-JWFJ-QHMG

Vulnerability from github – Published: 2026-04-03 18:31 – Updated: 2026-10-15 03:35
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

crypto: atmel-sha204a - Fix OOM ->tfm_count leak

If memory allocation fails, decrement ->tfm_count to avoid blocking future reads.

Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Show details on source website
To clipboard 

{
  "affected": [],
  "aliases": [
    "CVE-2026-31391"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-03T16:16:37Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: atmel-sha204a - Fix OOM -\u003etfm_count leak\n\nIf memory allocation fails, decrement -\u003etfm_count to avoid blocking\nfuture reads.",
  "id": "GHSA-8v35-jwfj-qhmg",
  "modified": "2026-10-15T03:35:31Z",
  "published": "2026-04-03T18:31:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31391"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-019113.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-082556.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-457936.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1ab70c260cf16f931a728b2cb63fff5f38c814d8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2bfc83cee05f8b9604502df27d94e8e2b4a3dbf1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/66ee9c1c3575b5d6afc340faca00fd40ed5b7ad9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6f502049a96b368ea6646c49d9520d6f69a101fa"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c2d0c45dbb9eb272385ae919b17eef5a5318d3f8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d240b079a37e90af03fd7dfec94930eb6c83936e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/fd262dc6d758232511127372eba866b7600739ba"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

Loading timeline…




    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.