GHSA-C7CW-QCQW-C783

Vulnerability from github – Published: 2026-06-05 12:31 – Updated: 2026-06-05 12:31
VLAI
Details

A Server-Side Request Forgery (SSRF) vulnerability in the custom process creation feature of linqi allows an authenticated attacker to probe internal network components. By crafting a specific process containing an HTTP Request component, an attacker can force the server to send arbitrary HTTP requests. By observing the varying application responses (Success, Failed, or 504 Gateway Time-out), the attacker can determine the status of internal ports, leading to internal network reconnaissance.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-11346"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-05T12:16:37Z",
    "severity": "MODERATE"
  },
  "details": "A Server-Side Request Forgery (SSRF) vulnerability in the custom process creation feature of linqi allows an authenticated attacker to probe internal network components. By crafting a specific process containing an HTTP Request component, an attacker can force the server to send arbitrary HTTP requests. By observing the varying application responses (Success, Failed, or 504 Gateway Time-out), the attacker can determine the status of internal ports, leading to internal network reconnaissance.",
  "id": "GHSA-c7cw-qcqw-c783",
  "modified": "2026-06-05T12:31:46Z",
  "published": "2026-06-05T12:31:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11346"
    },
    {
      "type": "WEB",
      "url": "https://linqi.help/en/reference/security/security-advisories/#security-advisory-server-side-request-forgery-ssrf-allowing-internal-network-probing"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "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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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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