GHSA-XP65-M377-M42W

Vulnerability from github – Published: 2026-07-13 06:31 – Updated: 2026-07-13 06:31
VLAI
Details

A vulnerability was determined in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. Affected by this issue is the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. Executing a manipulation of the argument index_meta.faiss can lead to deserialization. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The project was informed of the problem early through an issue report but has not responded yet.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-15535"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-13T06:16:27Z",
    "severity": "LOW"
  },
  "details": "A vulnerability was determined in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. Affected by this issue is the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. Executing a manipulation of the argument index_meta.faiss can lead to deserialization. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The project was informed of the problem early through an issue report but has not responded yet.",
  "id": "GHSA-xp65-m377-m42w",
  "modified": "2026-07-13T06:31:33Z",
  "published": "2026-07-13T06:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-15535"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AkariAsai/self-rag/issues/105"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AkariAsai/self-rag/pull/106"
    },
    {
      "type": "WEB",
      "url": "https://github.com/AkariAsai/self-rag"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/cve/CVE-2026-15535"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/submit/854999"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/377885"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/377885/cti"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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