pyLoad up to 0.5.0b3.dev96 URL Validation __init__.py parse_urls server-side request forgery

Summaryinfo

A vulnerability has been found in pyLoad up to 0.5.0b3.dev96 and classified as critical. This issue affects the function parse_urls of the file src/pyload/core/api/__init__.py of the component URL Validation Handler. This manipulation causes server-side request forgery. This vulnerability is registered as CVE-2026-35187. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as critical was found in pyLoad up to 0.5.0b3.dev96. Affected by this vulnerability is the function parse_urls of the file src/pyload/core/api/__init__.py of the component URL Validation Handler. The manipulation with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

pyLoad is a free and open-source download manager written in Python. In 0.5.0b3.dev96 and earlier, the parse_urls API function in src/pyload/core/api/__init__.py fetches arbitrary URLs server-side via get_url(url) (pycurl) without any URL validation, protocol restriction, or IP blacklist. An authenticated user with ADD permission can make HTTP/HTTPS requests to internal network resources and cloud metadata endpoints, read local files via file:// protocol (pycurl reads the file server-side), interact with internal services via gopher:// and dict:// protocols, and enumerate file existence via error-based oracle (error 37 vs empty response).

The advisory is shared at github.com. This vulnerability is known as CVE-2026-35187 since 04/01/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/06/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Name

• pyLoad

Version

• 0.5.0b3.dev96

Website

• Product: https://github.com/pyload/pyload/

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