Vulnerability-Lookup

GHSA-62VX-HPCR-M9CH

Vulnerability from github – Published: 2025-11-20 15:30 – Updated: 2025-11-20 18:48

Summary

@perfood/couch-auth may expose session tokens, passwords

Details

Session tokens and passwords in couch-auth 0.21.2 are stored in JavaScript objects and remain in memory without explicit clearing in src/user.ts lines 700-707. This creates a window of opportunity for sensitive data extraction through memory dumps, debugging tools, or other memory access techniques, potentially leading to session hijacking.

Severity

6.6 (Medium)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "@perfood/couch-auth"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.21.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-60794"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-316"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-11-20T18:48:26Z",
    "nvd_published_at": "2025-11-20T15:17:37Z",
    "severity": "MODERATE"
  },
  "details": "Session tokens and passwords in couch-auth 0.21.2 are stored in JavaScript objects and remain in memory without explicit clearing in src/user.ts lines 700-707. This creates a window of opportunity for sensitive data extraction through memory dumps, debugging tools, or other memory access techniques, potentially leading to session hijacking.",
  "id": "GHSA-62vx-hpcr-m9ch",
  "modified": "2025-11-20T18:48:27Z",
  "published": "2025-11-20T15:30:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-60794"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/perfood/couch-auth"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pr0wl1ng/security-advisories/blob/main/CVE-2025-60794.md"
    },
    {
      "type": "WEB",
      "url": "https://www.npmjs.com/package/@perfood/couch-auth"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U",
      "type": "CVSS_V4"
    }
  ],
  "summary": "@perfood/couch-auth may expose session tokens, passwords"
}

CVE-2025-60794 (GCVE-0-2025-60794)

Vulnerability from cvelistv5 – Published: 2025-11-20 00:00 – Updated: 2025-11-20 21:25

Summary

Severity

6.5 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-11-20 21:23 UTC

CWE

n/a
CWE-316 - Cleartext Storage of Sensitive Information in Memory

Assigner

mitre mitre root

References

3 references

URL	Tags
https://www.npmjs.com/package/@perfood/couch-auth
https://github.com/perfood/couch-auth
https://github.com/pr0wl1ng/security-advisories/b…

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "LOW",
              "baseScore": 6.5,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2025-60794",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-11-20T21:23:43.603005Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-316",
                "description": "CWE-316 Cleartext Storage of Sensitive Information in Memory",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-11-20T21:25:10.102Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Session tokens and passwords in couch-auth 0.21.2 are stored in JavaScript objects and remain in memory without explicit clearing in src/user.ts lines 700-707. This creates a window of opportunity for sensitive data extraction through memory dumps, debugging tools, or other memory access techniques, potentially leading to session hijacking."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-11-20T14:49:08.729Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://www.npmjs.com/package/@perfood/couch-auth"
        },
        {
          "url": "https://github.com/perfood/couch-auth"
        },
        {
          "url": "https://github.com/pr0wl1ng/security-advisories/blob/main/CVE-2025-60794.md"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2025-60794",
    "datePublished": "2025-11-20T00:00:00.000Z",
    "dateReserved": "2025-09-26T00:00:00.000Z",
    "dateUpdated": "2025-11-20T21:25:10.102Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.