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pyLoad CNL and captcha handlers allow code Injection via unsanitized parameters

Type: advisorySources: OSV

pyLoad is a free and open-source download manager written in Python. In versions prior to 0.5.0b3.dev91, pyLoad web interface contained insufficient input validation in both the Captcha script endpoint and the Click'N'Load (CNL) Blueprint. This flaw allowed untrusted user input to be processed unsafely, which could be exploited by an attacker to inject arbitrary content into the web UI or manipulate request handling. The vulnerability could lead to client-side code execution (XSS) or other unintended behaviors when a malicious payload is submitted. user-supplied parameters from HTTP requests were not adequately validated or sanitized before being passed into the application logic and response generation. This allowed crafted input to alter the expected execution flow. CNL (Click'N'Load) blueprint exposed unsafe handling of untrusted parameters in HTTP requests. The application did not consistently enforce input validation or encoding, making it possible for an attacker to craft malicious requests. Version 0.5.0b3.dev91 contains a patch for the issue.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2025-61773
Confirmed fixed CVEs
Not specified
Updated in this feed
4 Nov 2026, 16:40 UTC · Revision 1

Source evidence

pyLoad CNL and captcha handlers allow code Injection via unsanitized parameters

core-osv · Original source

Published 9 Oct 2025, 20:49 UTC

pyLoad is a free and open-source download manager written in Python. In versions prior to 0.5.0b3.dev91, pyLoad web interface contained insufficient input validation in both the Captcha script endpoint and the Click'N'Load (CNL) Blueprint. This flaw allowed untrusted user input to be processed unsafely, which could be exploited by an attacker to inject arbitrary content into the web UI or manipulate request handling. The vulnerability could lead to client-side code execution (XSS) or other unintended behaviors when a malicious payload is submitted. user-supplied parameters from HTTP requests were not adequately validated or sanitized before being passed into the application logic and response generation. This allowed crafted input to alter the expected execution flow. CNL (Click'N'Load) blueprint exposed unsafe handling of untrusted parameters in HTTP requests. The application did not consistently enforce input validation or encoding, making it possible for an attacker to craft malicious requests. Version 0.5.0b3.dev91 contains a patch for the issue.

osv:CVE-2025-61773
Complete source record
{
  "id": "80cd15b9cd2b97468e15d64038f732c3b9d1edfc121dd9c4a7c763506447cd08",
  "url": "https://osv.dev/vulnerability/CVE-2025-61773",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "pyLoad CNL and captcha handlers allow code Injection via unsanitized parameters",
    "summary": "pyLoad is a free and open-source download manager written in Python. In versions prior to 0.5.0b3.dev91, pyLoad web interface contained insufficient input validation in both the Captcha script endpoint and the Click'N'Load (CNL) Blueprint. This flaw allowed untrusted user input to be processed unsafely, which could be exploited by an attacker to inject arbitrary content into the web UI or manipulate request handling. The vulnerability could lead to client-side code execution (XSS) or other unintended behaviors when a malicious payload is submitted. user-supplied parameters from HTTP requests were not adequately validated or sanitized before being passed into the application logic and response generation. This allowed crafted input to alter the expected execution flow. CNL (Click'N'Load) blueprint exposed unsafe handling of untrusted parameters in HTTP requests. The application did not consistently enforce input validation or encoding, making it possible for an attacker to craft malicious requests. Version 0.5.0b3.dev91 contains a patch for the issue.",
    "evidence": "osv:CVE-2025-61773",
    "products": [],
    "severity": "high",
    "structured": {
      "id": "CVE-2025-61773",
      "aliases": [
        "CVE-2025-61773",
        "GHSA-cjjf-27cc-pvmv",
        "PYSEC-2026-1816"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/pyload/pyload",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "5823327d0b797161c7195a1f660266d30a69f0ca"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "fixed": "5823327d0b797161c7195a1f660266d30a69f0ca"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v0.4.9",
            "v0.4.8",
            "v0.4.7",
            "v0.4.6",
            "v0.4.5",
            "v0.4.4",
            "v0.4.3",
            "v0.4.2",
            "v0.4.1",
            "v0.4",
            "v0.3.2",
            "v0.3.1",
            "v0.3",
            "v0.2.2",
            "v0.2.1",
            "v0.2",
            "v0.1.1",
            "v0.1"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2025-61773.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:37.316971541Z",
      "provider": "osv",
      "references": [
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/61xxx/CVE-2025-61773.json",
        "https://github.com/pyload/pyload/security/advisories/GHSA-cjjf-27cc-pvmv",
        "https://nvd.nist.gov/vuln/detail/CVE-2025-61773",
        "https://github.com/pyload/pyload/commit/5823327d0b797161c7195a1f660266d30a69f0ca",
        "https://github.com/pyload/pyload/pull/4624"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-116",
          "CWE-74",
          "CWE-79",
          "CWE-94"
        ],
        "cna_assigner": "GitHub_M",
        "unresolved_ranges": [
          {
            "extracted_events": [
              {
                "range": [
                  {
                    "fixed": "0.5.0b3.dev91"
                  }
                ],
                "source": "AFFECTED_FIELD",
                "strategy": "StringRangeExpression"
              }
            ]
          },
          {
            "extracted_events": [
              {
                "range": [
                  {
                    "fixed": "0.5.0b3.dev91"
                  }
                ],
                "source": "DESCRIPTION"
              }
            ]
          }
        ],
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/61xxx/CVE-2025-61773.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2025-61773",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 504837,
  "published_at": "2025-10-09T20:49:53.892+00:00"
}