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CVE-2026-35187

7.7 · HIGH
Published Apr 6, 2026 pyload-ng_project CWE-918

Overview

CVE-2026-35187 is a high-severity vulnerability affecting pyload-ng_project pyload-ng. It was published on April 6, 2026 and has a CVSS 3.1 base score of 7.7 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.7, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

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).

Remediation

Check the references section for vendor advisories and patches from pyload-ng_project. Update pyload-ng to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
pyload-ng_project pyload-ng >= 0, < 0.5.0b3.dev97 Affected

Frequently Asked Questions

What is CVE-2026-35187?

CVE-2026-35187 is a high-severity vulnerability affecting pyload-ng_project pyload-ng. It was published on April 6, 2026 and has a CVSS 3.1 base score of 7.7 (HIGH).

How severe is CVE-2026-35187?

This vulnerability has a CVSS 3.1 base score of 7.7, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-35187?

Check the references section for vendor advisories and patches from pyload-ng_project. Update pyload-ng to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-35187?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-35187 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.

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