Vulnerability-Lookup

GHSA-2WWR-RX4C-Q4HX

Vulnerability from github – Published: 2026-02-03 18:30 – Updated: 2026-02-04 18:30

Details

ERPNext thru 15.88.1 does not sanitize or remove certain HTML tags specifically <a> hyperlinks in fields that are intended for plain text. Although JavaScript is blocked (preventing XSS), the HTML is still preserved in the generated PDF document. As a result, an attacker can inject malicious clickable links into an ERP-generated PDF. Since PDF files generated by the ERP system are generally considered trustworthy, users are highly likely to click these links, potentially enabling phishing attacks or malware delivery. This issue occurs in the Add Quality Goal' function.

Severity

6.1 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2025-65924"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-80"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-03T18:16:15Z",
    "severity": "MODERATE"
  },
  "details": "ERPNext thru 15.88.1 does not sanitize or remove certain HTML tags specifically `\u003ca\u003e` hyperlinks in fields that are intended for plain text. Although JavaScript is blocked (preventing XSS), the HTML is still preserved in the generated PDF document. As a result, an attacker can inject malicious clickable links into an ERP-generated PDF. Since PDF files generated by the ERP system are generally considered trustworthy, users are highly likely to click these links, potentially enabling phishing attacks or malware delivery. This issue occurs in the Add Quality Goal\u0027 function.",
  "id": "GHSA-2wwr-rx4c-q4hx",
  "modified": "2026-02-04T18:30:31Z",
  "published": "2026-02-03T18:30:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-65924"
    },
    {
      "type": "WEB",
      "url": "https://github.com/frappe/frappe_docker.git"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2025-65924 (GCVE-0-2025-65924)

Vulnerability from cvelistv5 – Published: 2026-02-03 00:00 – Updated: 2026-02-17 16:42

Summary

ERPNext thru 15.88.1 does not sanitize or remove certain HTML tags specifically `<a>` hyperlinks in fields that are intended for plain text. Although JavaScript is blocked (preventing XSS), the HTML is still preserved in the generated PDF document. As a result, an attacker can inject malicious clickable links into an ERP-generated PDF. Since PDF files generated by the ERP system are generally considered trustworthy, users are highly likely to click these links, potentially enabling phishing attacks or malware delivery. This issue occurs in the Add Quality Goal' function.

Severity

4.1 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-04 16:21 UTC

CWE

n/a
CWE-80 - Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS)

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/frappe/frappe_docker.git

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "NONE",
              "baseScore": 4.1,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "NONE",
              "integrityImpact": "LOW",
              "privilegesRequired": "LOW",
              "scope": "CHANGED",
              "userInteraction": "REQUIRED",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:N/I:L/A:N",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2025-65924",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-04T16:21:26.271037Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-80",
                "description": "CWE-80 Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-17T16:42:43.134Z",
          "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": "ERPNext thru 15.88.1 does not sanitize or remove certain HTML tags specifically `\u003ca\u003e` hyperlinks in fields that are intended for plain text. Although JavaScript is blocked (preventing XSS), the HTML is still preserved in the generated PDF document. As a result, an attacker can inject malicious clickable links into an ERP-generated PDF. Since PDF files generated by the ERP system are generally considered trustworthy, users are highly likely to click these links, potentially enabling phishing attacks or malware delivery. This issue occurs in the Add Quality Goal\u0027 function."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-02-03T17:40:13.101Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://github.com/frappe/frappe_docker.git"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2025-65924",
    "datePublished": "2026-02-03T00:00:00.000Z",
    "dateReserved": "2025-11-18T00:00:00.000Z",
    "dateUpdated": "2026-02-17T16:42:43.134Z",
    "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.