Vulnerability-Lookup

PYSEC-2025-95

Vulnerability from pysec - Published: 2025-03-20 10:15 - Updated: 2025-08-01 18:25

Details

A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user's browser, potentially leading to identity theft or other malicious actions.

Severity

5.4 (Medium)


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

Impacted products

Name	purl
chuanhuchatgpt	pkg:pypi/chuanhuchatgpt

Aliases

CVE-2024-9107

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "chuanhuchatgpt",
        "purl": "pkg:pypi/chuanhuchatgpt"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2024-09-19"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-9107"
  ],
  "details": "A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user\u0027s browser, potentially leading to identity theft or other malicious actions.",
  "id": "PYSEC-2025-95",
  "modified": "2025-08-01T18:25:11.207Z",
  "published": "2025-03-20T10:15:47.230Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://huntr.com/bounties/a2972c51-4780-4f60-afbf-a7a8ee4066ea"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-9107 (GCVE-0-2024-9107)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:24

Title

Stored XSS in gaizhenbiao/chuanhuchatgpt

Summary

Severity

6.8 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:49 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

@huntr_ai mitre root

References

1 reference

URL	Tags
https://huntr.com/bounties/a2972c51-4780-4f60-afb…

Impacted products

1 product

Vendor	Product	Version
gaizhenbiao	gaizhenbiao/chuanhuchatgpt	Affected: unspecified , ≤ latest (custom)

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-9107",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:49:22.588654Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-20T18:24:36.444Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "gaizhenbiao/chuanhuchatgpt",
          "vendor": "gaizhenbiao",
          "versions": [
            {
              "lessThanOrEqual": "latest",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user\u0027s browser, potentially leading to identity theft or other malicious actions."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 6.8,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:N/A:N",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-79",
              "description": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-03-20T10:10:12.783Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/a2972c51-4780-4f60-afbf-a7a8ee4066ea"
        }
      ],
      "source": {
        "advisory": "a2972c51-4780-4f60-afbf-a7a8ee4066ea",
        "discovery": "EXTERNAL"
      },
      "title": "Stored XSS in gaizhenbiao/chuanhuchatgpt"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-9107",
    "datePublished": "2025-03-20T10:10:12.783Z",
    "dateReserved": "2024-09-23T16:37:24.815Z",
    "dateUpdated": "2025-03-20T18:24:36.444Z",
    "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.

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.