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GHSA-W2PG-PC8X-QJ83

Vulnerability from github – Published: 2026-09-04 12:30 – Updated: 2026-09-04 12:30
VLAI
Details

SiYuan before v3.8.2 contains an unbounded resource consumption vulnerability in the request-concurrency middleware that retains mutex entries for every unique request path without eviction. Unauthenticated attackers can send numerous unique request paths to permanently increase process memory and synchronization overhead, degrading availability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-85585"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-04T12:17:20Z",
    "severity": "HIGH"
  },
  "details": "SiYuan before v3.8.2 contains an unbounded resource consumption vulnerability in the request-concurrency middleware that retains mutex entries for every unique request path without eviction. Unauthenticated attackers can send numerous unique request paths to permanently increase process memory and synchronization overhead, degrading availability.",
  "id": "GHSA-w2pg-pc8x-qj83",
  "modified": "2026-09-04T12:30:59Z",
  "published": "2026-09-04T12:30:58Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/siyuan-note/siyuan/security/advisories/GHSA-p59v-3q54-qq55"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-85585"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/siyuan-before-3.8.2-unbounded-memory-consumption-via-controlconcurrency"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/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

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