GHSA-HXVR-GG2W-J48X

Vulnerability from github – Published: 2025-06-09 18:32 – Updated: 2026-01-21 14:46
VLAI
Summary
BackendAI vulnerable to Exposure of Sensitive Information to an Unauthorized Actor
Details

Exposure of sensitive data in active sessions in Lablup's BackendAI allows attackers to retrieve credentials for users on the management platform.

NOTE: The maintainers of BackendAI do not consider this report to fit with their threat model and advise users to follow security advice from https://github.com/lablup/backend.ai/pull/7587 in their instances to protect themselves from the conditions that would lead to the situation described in the CVE record.

Severity
8.0 (High)
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "backend.ai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "25.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-49653"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-06-11T17:38:06Z",
    "nvd_published_at": "2025-06-09T18:15:27Z",
    "severity": "HIGH"
  },
  "details": "Exposure of sensitive data in active sessions in Lablup\u0027s BackendAI allows attackers to retrieve credentials for users on the management platform.\n\nNOTE: The maintainers of BackendAI do not consider this report to fit with their threat model and advise users to follow security advice from https://github.com/lablup/backend.ai/pull/7587 in their instances to protect themselves from the conditions that would lead to the situation described in the CVE record.",
  "id": "GHSA-hxvr-gg2w-j48x",
  "modified": "2026-01-21T14:46:33Z",
  "published": "2025-06-09T18:32:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-49653"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lablup/backend.ai/pull/7587"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/lablup/backend.ai"
    },
    {
      "type": "WEB",
      "url": "https://hiddenlayer.com/sai_security_advisor/2025-05-backendai-49653"
    },
    {
      "type": "WEB",
      "url": "https://hiddenlayer.com/sai_security_advisor/2025-06-backendai"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "BackendAI vulnerable to Exposure of Sensitive Information to an Unauthorized Actor"
}


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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.
  • 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.


Detection rules are retrieved from Rulezet.