Vulnerability-Lookup

GHSA-J2G7-67MH-M3HH

Vulnerability from github – Published: 2025-04-15 09:30 – Updated: 2025-04-15 09:30

Details

A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api//message endpoint, by manipulating the contents of the ‘content’ parameter.

Severity

9.3 (Critical)


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

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2025-3578"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1039"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-04-15T09:15:13Z",
    "severity": "CRITICAL"
  },
  "details": "A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api/\u003cstring-chat\u003e/message endpoint, by manipulating the contents of the \u2018content\u2019 parameter.",
  "id": "GHSA-j2g7-67mh-m3hh",
  "modified": "2025-04-15T09:30:34Z",
  "published": "2025-04-15T09:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-3578"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-aidex"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:L/SC:N/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"
    }
  ]
}

CVE-2025-3578 (GCVE-0-2025-3578)

Vulnerability from cvelistv5 – Published: 2025-04-15 08:42 – Updated: 2025-04-15 13:57

Title

Adversarial Input Handling Vulnerability in AiDex

Summary

A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api/<string-chat>/message endpoint, by manipulating the contents of the ‘content’ parameter.

Severity

9.3 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-15 13:57 UTC

CWE

CWE-1039 - Inadequate Detection or Handling of Adversarial Input Perturbations in Automated Recognition Mechanism

Assigner

INCIBE INCIBE root

References

1 reference

URL	Tags
https://www.incibe.es/en/incibe-cert/notices/avis…

Impacted products

1 product

Vendor	Product	Version
AiDex	AiDex	Affected: 0 , < 1.7 (custom)

Date Public

2025-04-14 10:00

Credits

David Utón Amaya (m3n0sd0n4ld)

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-3578",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-15T13:57:06.844776Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-15T13:57:26.062Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "AiDex",
          "vendor": "AiDex",
          "versions": [
            {
              "lessThan": "1.7",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "David Ut\u00f3n Amaya (m3n0sd0n4ld)"
        }
      ],
      "datePublic": "2025-04-14T10:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api/\u0026lt;string-chat\u0026gt;/message endpoint, by manipulating the contents of the \u2018content\u2019 parameter."
            }
          ],
          "value": "A malicious, authenticated user in Aidex, versions prior to 1.7, could list credentials of other users, create or modify existing users in the application, list credentials of users in production or development environments. In addition, it would be possible to cause bugs that would result in the exfiltration of sensitive information, such as details about the software or internal system paths. These actions could be carried out through the misuse of LLM Prompt (chatbot) technology, via the /api/\u003cstring-chat\u003e/message endpoint, by manipulating the contents of the \u2018content\u2019 parameter."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 9.3,
            "baseSeverity": "CRITICAL",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "LOW",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-1039",
              "description": "CWE-1039: Inadequate Detection or Handling of Adversarial Input Perturbations in Automated Recognition Mechanism",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-04-15T08:42:55.349Z",
        "orgId": "0cbda920-cd7f-484a-8e76-bf7f4b7f4516",
        "shortName": "INCIBE"
      },
      "references": [
        {
          "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-aidex"
        }
      ],
      "solutions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "The vulnerability has been fixed by the AiDex team in version 1.7."
            }
          ],
          "value": "The vulnerability has been fixed by the AiDex team in version 1.7."
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Adversarial Input Handling Vulnerability in AiDex",
      "x_generator": {
        "engine": "Vulnogram 0.2.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "0cbda920-cd7f-484a-8e76-bf7f4b7f4516",
    "assignerShortName": "INCIBE",
    "cveId": "CVE-2025-3578",
    "datePublished": "2025-04-15T08:42:55.349Z",
    "dateReserved": "2025-04-14T10:21:47.267Z",
    "dateUpdated": "2025-04-15T13:57:26.062Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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.

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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

GHSA-J2G7-67MH-M3HH

CVE-2025-3578 (GCVE-0-2025-3578)

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