Vulnerability-Lookup

GHSA-2VGP-8568-M98F

Vulnerability from github – Published: 2026-04-08 18:34 – Updated: 2026-04-09 21:31

Details

A Server-Side Request Forgery (SSRF) vulnerability exists in the Print Format functionality of ERPNext v16.0.1 and Frappe Framework v16.1.1, where user-supplied HTML is insufficiently sanitized before being rendered into PDF. When generating PDFs from user-controlled HTML content, the application allows the inclusion of HTML elements such as that reference external resources. The PDF rendering engine automatically fetches these resources on the server side. An attacker can abuse this behavior to force the server to make arbitrary HTTP requests to internal services, including cloud metadata endpoints, potentially leading to sensitive information disclosure.

Severity

9.1 (Critical)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-31017"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-08T17:21:18Z",
    "severity": "CRITICAL"
  },
  "details": "A Server-Side Request Forgery (SSRF) vulnerability exists in the Print Format functionality of ERPNext v16.0.1 and Frappe Framework v16.1.1, where user-supplied HTML is insufficiently sanitized before being rendered into PDF. When generating PDFs from user-controlled HTML content, the application allows the inclusion of HTML elements such as \u003ciframe\u003e that reference external resources. The PDF rendering engine automatically fetches these resources on the server side. An attacker can abuse this behavior to force the server to make arbitrary HTTP requests to internal services, including cloud metadata endpoints, potentially leading to sensitive information disclosure.",
  "id": "GHSA-2vgp-8568-m98f",
  "modified": "2026-04-09T21:31:28Z",
  "published": "2026-04-08T18:34:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31017"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PhDg1410/CVE/tree/main/CVE-2026-31017"
    },
    {
      "type": "WEB",
      "url": "http://frappe.com"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-31017 (GCVE-0-2026-31017)

Vulnerability from cvelistv5 – Published: 2026-04-08 00:00 – Updated: 2026-07-05 01:32

Summary

A Server-Side Request Forgery (SSRF) vulnerability exists in the Print Format functionality of ERPNext v16.0.1 and Frappe Framework v16.1.1, where user-supplied HTML is insufficiently sanitized before being rendered into PDF. When generating PDFs from user-controlled HTML content, the application allows the inclusion of HTML elements such as <iframe> that reference external resources. The PDF rendering engine automatically fetches these resources on the server side. An attacker can abuse this behavior to force the server to make arbitrary HTTP requests to internal services, including cloud metadata endpoints, potentially leading to sensitive information disclosure.

Severity

9.1 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-04-09 20:49 UTC

CWE

n/a
CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/PhDg1410/CVE/tree/main/CVE-202…

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "NONE",
              "baseScore": 9.1,
              "baseSeverity": "CRITICAL",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2026-31017",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-04-09T20:49:37.726087Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-918",
                "description": "CWE-918 Server-Side Request Forgery (SSRF)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-04-09T20:49:57.487Z",
          "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": "A Server-Side Request Forgery (SSRF) vulnerability exists in the Print Format functionality of ERPNext v16.0.1 and Frappe Framework v16.1.1, where user-supplied HTML is insufficiently sanitized before being rendered into PDF. When generating PDFs from user-controlled HTML content, the application allows the inclusion of HTML elements such as \u003ciframe\u003e that reference external resources. The PDF rendering engine automatically fetches these resources on the server side. An attacker can abuse this behavior to force the server to make arbitrary HTTP requests to internal services, including cloud metadata endpoints, potentially leading to sensitive information disclosure."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-05T01:32:44.565Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://github.com/PhDg1410/CVE/tree/main/CVE-2026-31017"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2026-31017",
    "datePublished": "2026-04-08T00:00:00.000Z",
    "dateReserved": "2026-03-09T00:00:00.000Z",
    "dateUpdated": "2026-07-05T01:32:44.565Z",
    "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.