Vulnerability-Lookup

PYSEC-2026-1211

Vulnerability from pysec - Published: 2026-07-07 16:02 - Updated: 2026-07-07 17:23

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

Impacted products

Name	purl
backend-ai	pkg:pypi/backend-ai

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "backend-ai",
        "purl": "pkg:pypi/backend-ai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "25.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.1.0",
        "1.2.0",
        "1.3.0",
        "1.4.0",
        "18.12.0",
        "19.3.0",
        "19.3.0a1",
        "19.9.0",
        "20.3.0",
        "20.3.1",
        "20.9.0",
        "20.9.0a1.dev0",
        "21.3.0",
        "22.3.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-49653",
    "GHSA-hxvr-gg2w-j48x"
  ],
  "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": "PYSEC-2026-1211",
  "modified": "2026-07-07T17:23:49.183459Z",
  "published": "2026-07-07T16:02:54.001219Z",
  "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"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/backend-ai"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-hxvr-gg2w-j48x"
    }
  ],
  "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"
}

CVE-2025-49653 (GCVE-0-2025-49653)

Vulnerability from cvelistv5 – Published: 2025-06-09 17:27 – Updated: 2025-06-11 12:12

Title

Exposure of sensitive Information allows account takeover

Summary

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

Severity

8 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-06-09 18:28 UTC

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

HiddenLayer mitre root

References

1 reference

URL	Tags
https://hiddenlayer.com/sai_security_advisor/2025…

Impacted products

1 product

Vendor	Product	Version
Lablup	BackendAI	Affected: *

Credits

Esteban Tonglet

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-49653",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-06-09T18:28:12.762975Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-06-09T18:32:00.215Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "BackendAI",
          "repo": "https://github.com/lablup/backend.ai",
          "vendor": "Lablup",
          "versions": [
            {
              "status": "affected",
              "version": "*"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Esteban Tonglet"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "Exposure of sensitive data in active sessions in Lablup\u0027s BackendAI allows attackers to retrieve credentials for users on the management platform."
            }
          ],
          "value": "Exposure of sensitive data in active sessions in Lablup\u0027s BackendAI allows attackers to retrieve credentials for users on the management platform."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-116",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-116 Excavation"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "HIGH",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-200",
              "description": "CWE-200 Exposure of Sensitive Information to an Unauthorized Actor",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-06-11T12:12:30.504Z",
        "orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
        "shortName": "HiddenLayer"
      },
      "references": [
        {
          "url": "https://hiddenlayer.com/sai_security_advisor/2025-06-backendai/"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Exposure of sensitive Information allows account takeover",
      "x_generator": {
        "engine": "Vulnogram 0.2.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
    "assignerShortName": "HiddenLayer",
    "cveId": "CVE-2025-49653",
    "datePublished": "2025-06-09T17:27:00.603Z",
    "dateReserved": "2025-06-09T13:58:25.617Z",
    "dateUpdated": "2025-06-11T12:12:30.504Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

GHSA-HXVR-GG2W-J48X

Vulnerability from github – Published: 2025-06-09 18:32 – Updated: 2026-01-21 14:46

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.

Severity

8.0 (High)


                  
                    CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

{
  "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"
}

Sightings

Author	Source	Type	Date	Other

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.

Action not permitted

PYSEC-2026-1211

CVE-2025-49653 (GCVE-0-2025-49653)

GHSA-HXVR-GG2W-J48X

Tags

Sightings

Nomenclature

Related by attack behaviour