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CVE Vulnerability Database
Vulnerability Database/CVE-2024-39205

CVE-2024-39205: pyload-ng RCE Vulnerability

CVE-2024-39205 is a remote code execution vulnerability in pyload-ng v0.5.0b3.dev85 running under Python 3.11 or below. Attackers can execute arbitrary code via crafted HTTP requests. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: April 1, 2026

CVE-2024-39205 Overview

CVE-2024-39205 is a critical remote code execution (RCE) vulnerability discovered in pyload-ng, a popular open-source download manager written in Python. The vulnerability affects pyload-ng version v0.5.0b3.dev85 when running under Python 3.11 or earlier versions. Attackers can exploit this flaw by sending specially crafted HTTP requests to the application, allowing them to execute arbitrary code on the target system without authentication.

Critical Impact

This vulnerability allows unauthenticated remote attackers to achieve arbitrary code execution on systems running vulnerable versions of pyload-ng, potentially leading to complete system compromise, data theft, and lateral movement within the network.

Affected Products

  • pyload-ng v0.5.0b3.dev85
  • Systems running Python 3.11 or below with pyload-ng installed
  • Any deployment exposing pyload-ng's web interface to untrusted networks

Discovery Timeline

  • 2024-10-28 - CVE-2024-39205 published to NVD
  • 2024-10-30 - Last updated in NVD database

Technical Details for CVE-2024-39205

Vulnerability Analysis

This remote code execution vulnerability stems from improper handling of user-supplied input in HTTP requests processed by the pyload-ng application. The application fails to adequately sanitize or validate certain parameters within incoming HTTP requests, creating an attack surface that allows malicious actors to inject and execute arbitrary code on the underlying server.

The vulnerability is particularly dangerous because it requires no authentication to exploit. An attacker with network access to the pyload-ng web interface can craft malicious HTTP requests that, when processed by the application, result in code execution with the same privileges as the pyload-ng process. Given that pyload-ng is often deployed on home servers and NAS devices to manage downloads, successful exploitation could provide attackers with a foothold into private networks.

The flaw specifically manifests when the application is running on Python 3.11 or earlier versions, suggesting the vulnerability may be related to Python-specific behaviors or security features that differ across Python versions.

Root Cause

The root cause of CVE-2024-39205 lies in insufficient input validation and sanitization within pyload-ng's HTTP request handling code. The application processes user-controlled data in an unsafe manner, allowing attackers to inject malicious payloads that are subsequently interpreted and executed by the Python runtime. This type of vulnerability typically occurs when user input is passed to functions capable of code execution without proper escaping or validation, such as eval(), exec(), or similar dynamic code execution mechanisms.

Attack Vector

The attack vector for this vulnerability is network-based, requiring the attacker to have HTTP access to the pyload-ng web interface. The attack can be carried out remotely without requiring any prior authentication or user interaction. An attacker simply needs to:

  1. Identify a target system running a vulnerable version of pyload-ng
  2. Craft a malicious HTTP request containing the exploit payload
  3. Send the request to the pyload-ng web interface
  4. Achieve code execution with the privileges of the pyload-ng process

The exploitation requires no special privileges, no user interaction, and presents low attack complexity, making this vulnerability highly exploitable in real-world scenarios. Technical details regarding the exploitation mechanism can be found in the GitHub PoC Repository and the GitHub Security Advisory.

Detection Methods for CVE-2024-39205

Indicators of Compromise

  • Unusual HTTP requests to the pyload-ng web interface containing encoded or obfuscated payloads
  • Unexpected child processes spawned by the pyload-ng application
  • Suspicious outbound network connections originating from the pyload-ng process
  • Anomalous file system modifications in directories accessible to the pyload-ng user

Detection Strategies

  • Monitor HTTP access logs for requests with unusual parameters or payloads targeting pyload-ng endpoints
  • Implement network intrusion detection rules to identify exploitation attempts against pyload-ng
  • Deploy endpoint detection and response (EDR) solutions to detect suspicious process execution chains
  • Review system logs for unauthorized access or privilege escalation attempts following pyload-ng compromise

Monitoring Recommendations

  • Enable verbose logging for the pyload-ng application to capture detailed request information
  • Configure web application firewall (WAF) rules to inspect and block malicious HTTP requests
  • Implement process monitoring to alert on unexpected command execution by the pyload-ng process
  • Establish baseline network behavior and alert on deviations that may indicate compromise

How to Mitigate CVE-2024-39205

Immediate Actions Required

  • Restrict network access to the pyload-ng web interface to trusted IP addresses only
  • Place pyload-ng behind a reverse proxy with authentication if external access is required
  • Consider temporarily disabling the pyload-ng web interface until a patch is applied
  • Monitor systems for indicators of compromise if the vulnerable version was exposed to untrusted networks

Patch Information

Users should monitor the pyload GitHub repository for security updates addressing this vulnerability. Review the GitHub Security Advisory GHSA-r9pp-r4xf-597r for official remediation guidance from the pyload maintainers. Upgrading to a patched version when available is the recommended remediation approach.

Workarounds

  • Configure firewall rules to restrict access to the pyload-ng web interface port (default: 8000) to localhost or trusted networks only
  • Deploy pyload-ng behind a VPN to prevent direct internet exposure
  • Use a reverse proxy (nginx, Apache) with HTTP basic authentication to add an authentication layer
  • Run pyload-ng in a containerized environment with limited privileges and network isolation
bash
# Configuration example - Restrict pyload-ng access using iptables
# Allow only localhost access to pyload-ng web interface
iptables -A INPUT -p tcp --dport 8000 -s 127.0.0.1 -j ACCEPT
iptables -A INPUT -p tcp --dport 8000 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8000 -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechPyload Ng

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability83.92%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • Technical References
  • GitHub PoC Repository

  • GitHub Pyload Project

  • GitHub Security Advisory
  • Related CVEs
  • CVE-2025-54802: Pyload-ng Path Traversal RCE Vulnerability

  • CVE-2026-33314: Pyload-ng SSRF Vulnerability

  • CVE-2026-29778: Pyload-ng Path Traversal Vulnerability
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