Vulnerability-Lookup

GHSA-J5FQ-P3C6-93JM

Vulnerability from github – Published: 2025-03-20 12:32 – Updated: 2025-03-20 12:32

Details

A vulnerability in danny-avila/librechat prior to version 0.7.6 allows for logs debug injection. The parameters sessionId, fileId, userId, and file_id in the /code/download/:sessionId/:fileId and /download/:userId/:file_id APIs are not validated or filtered, leading to potential log injection attacks. This can cause distortion of monitoring and investigation information, evade detection from security systems, and create difficulties in maintenance and operation.

Severity

4.3 (Medium)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2024-12580"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-117"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-20T10:15:29Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability in danny-avila/librechat prior to version 0.7.6 allows for logs debug injection. The parameters sessionId, fileId, userId, and file_id in the /code/download/:sessionId/:fileId and /download/:userId/:file_id APIs are not validated or filtered, leading to potential log injection attacks. This can cause distortion of monitoring and investigation information, evade detection from security systems, and create difficulties in maintenance and operation.",
  "id": "GHSA-j5fq-p3c6-93jm",
  "modified": "2025-03-20T12:32:43Z",
  "published": "2025-03-20T12:32:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-12580"
    },
    {
      "type": "WEB",
      "url": "https://github.com/danny-avila/librechat/commit/95d6bd2c2db4a09b308be2b96e3d5fd522c7b72a"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/6e477667-dcd4-42c2-b342-a6ce09ffdeeb"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-12580 (GCVE-0-2024-12580)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-03-20 18:56

Title

Logs Debug Injection in danny-avila/librechat

Summary

Severity

4.3 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:51 UTC

CWE

CWE-117 - Improper Output Neutralization for Logs

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/6e477667-dcd4-42c2-b34…
https://github.com/danny-avila/librechat/commit/9…

Impacted products

1 product

Vendor	Product	Version
danny-avila	danny-avila/librechat	Affected: unspecified , < 0.7.6 (custom)

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-12580",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:51:22.355124Z",
                "version": "2.0.3"
              },
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        "providerMetadata": {
          "dateUpdated": "2025-03-20T18:56:54.526Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
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    ],
    "cna": {
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        {
          "product": "danny-avila/librechat",
          "vendor": "danny-avila",
          "versions": [
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              "status": "affected",
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        }
      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 4.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "LOW",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
            "version": "3.0"
          }
        }
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      "problemTypes": [
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      "title": "Logs Debug Injection in danny-avila/librechat"
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    "state": "PUBLISHED"
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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.