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GHSA-2PRW-F2C7-MXP8

Vulnerability from github – Published: 2026-09-09 15:35 – Updated: 2026-09-09 15:35
VLAI
Details

Snipe-IT versions before 8.7.0 fail to properly scope asset acceptance report queries by company, allowing authenticated reports.view users to read pending acceptances across all companies. Attackers can access the unaccepted_assets report page or CSV export to disclose cross-company inventory details and assignee names without per-row access validation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-86743"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-639"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-09T14:17:22Z",
    "severity": "MODERATE"
  },
  "details": "Snipe-IT versions before 8.7.0 fail to properly scope asset acceptance report queries by company, allowing authenticated reports.view users to read pending acceptances across all companies. Attackers can access the unaccepted_assets report page or CSV export to disclose cross-company inventory details and assignee names without per-row access validation.",
  "id": "GHSA-2prw-f2c7-mxp8",
  "modified": "2026-09-09T15:35:12Z",
  "published": "2026-09-09T15:35:12Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/grokability/snipe-it/security/advisories/GHSA-7xrr-xm47-rc6w"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-86743"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/snipe-it-before-8.7.0-authorization-bypass-via-asset-acceptance-report"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:L/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

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