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CVE Vulnerability Database
Vulnerability Database/CVE-2026-32808

CVE-2026-32808: Pyload Path Traversal Vulnerability

CVE-2026-32808 is a path traversal vulnerability in Pyload download manager affecting encrypted 7z archives. Attackers can delete arbitrary files outside extraction directories. This article covers technical details, affected versions, and patches.

Published: March 27, 2026

CVE-2026-32808 Overview

CVE-2026-32808 is a path traversal vulnerability affecting pyLoad, a free and open-source download manager written in Python. Versions before 0.5.0b3.dev97 are vulnerable to path traversal during password verification of certain encrypted 7z archives (specifically encrypted files with non-encrypted headers), enabling arbitrary file deletion outside of the intended extraction directory.

During password verification, pyLoad derives an archive entry name from 7z listing output and treats it as a filesystem path without properly constraining it to the extraction directory. This lack of path validation allows attackers to craft malicious 7z archives that, when processed by pyLoad, can delete arbitrary files on the system.

Critical Impact

Attackers can leverage this vulnerability to delete critical system files or application data by crafting malicious 7z archives with path traversal sequences, potentially causing system instability, data loss, or denial of service.

Affected Products

  • pyload pyload (versions before 0.5.0b3.dev97)
  • pyload-ng_project pyload-ng (versions before 0.5.0b3.dev97)

Discovery Timeline

  • 2026-03-20 - CVE CVE-2026-32808 published to NVD
  • 2026-03-26 - Last updated in NVD database

Technical Details for CVE-2026-32808

Vulnerability Analysis

This vulnerability is classified as CWE-22 (Path Traversal), a well-known weakness where user-controlled input can escape intended directory boundaries. The flaw exists in pyLoad's handling of encrypted 7z archives during the password verification process.

When pyLoad processes an encrypted 7z archive with non-encrypted headers, it extracts the entry name from the 7z listing output. This entry name is then used to construct a filesystem path for extraction. However, pyLoad fails to sanitize or validate this path against directory traversal sequences such as ../, allowing an attacker to specify paths that escape the intended extraction directory.

The vulnerability requires user interaction in that the target must download and process a malicious 7z archive through pyLoad. The attack can be conducted remotely by tricking users into downloading attacker-crafted archives. Successful exploitation results in the deletion of arbitrary files accessible to the pyLoad process, impacting both system integrity and availability.

Root Cause

The root cause of this vulnerability lies in improper input validation when handling archive entry names derived from 7z listing output. The application directly uses these entry names as filesystem paths without implementing proper path canonicalization or directory containment checks. This allows specially crafted archive entries containing ../ sequences to traverse outside the expected extraction directory.

Attack Vector

The attack vector is network-based, requiring a victim to download and process a malicious 7z archive through pyLoad. An attacker can craft a 7z archive with encrypted content but non-encrypted headers, embedding path traversal sequences (e.g., ../../../etc/important_file) in the archive entry names. When pyLoad attempts to verify the password for such an archive, it processes these entry names and deletes the referenced files outside the extraction directory.

The vulnerability can be exploited through several attack scenarios:

  1. Hosting malicious 7z archives on attacker-controlled download servers
  2. Compromising legitimate download sources to inject malicious archives
  3. Social engineering attacks targeting pyLoad users

Detection Methods for CVE-2026-32808

Indicators of Compromise

  • Unexpected file deletions on systems running pyLoad, particularly outside of download and extraction directories
  • 7z archives in download queues containing suspicious entry names with ../ sequences
  • Log entries showing pyLoad processing archives with unusual or path traversal-like filenames
  • System instability or application failures following pyLoad download operations

Detection Strategies

  • Monitor pyLoad process activity for file deletion operations outside of configured extraction directories
  • Implement file integrity monitoring on critical system files and directories
  • Analyze downloaded 7z archives for path traversal sequences in entry names before processing
  • Review pyLoad logs for error messages or unusual activity during archive extraction operations

Monitoring Recommendations

  • Enable detailed logging for pyLoad operations to capture archive processing events
  • Deploy endpoint detection tools to monitor for suspicious file system operations by the pyLoad process
  • Implement network monitoring to detect downloads of potentially malicious 7z archives
  • Configure alerts for unexpected file deletions in system directories

How to Mitigate CVE-2026-32808

Immediate Actions Required

  • Upgrade pyLoad to version 0.5.0b3.dev97 or later immediately
  • Review recent download activity for any suspicious 7z archives that may have been processed
  • Audit system file integrity to identify any files that may have been unexpectedly deleted
  • Consider temporarily disabling 7z archive handling in pyLoad until the patch is applied

Patch Information

The vulnerability has been fixed in pyLoad version 0.5.0b3.dev97. Users should upgrade to this version or later to remediate the vulnerability. For detailed information about the security fix, refer to the GitHub Security Advisory GHSA-7g4m-8hx2-4qh3.

Workarounds

  • Avoid processing 7z archives from untrusted sources until the patch is applied
  • Run pyLoad with minimal file system permissions to limit the impact of arbitrary file deletion
  • Configure pyLoad to operate in an isolated environment or container to contain potential damage
  • Implement network-level filtering to block downloads of 7z archives from unknown or untrusted sources
  • Maintain regular backups of critical data to enable recovery from potential file deletion attacks

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

  • Vulnerability Details
  • TypePath Traversal

  • Vendor/TechPyload

  • SeverityHIGH

  • CVSS Score8.1

  • EPSS Probability0.09%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-22
  • Vendor Resources
  • GitHub Security Advisory
  • Related CVEs
  • CVE-2026-35592: pyLoad Path Traversal Vulnerability

  • CVE-2026-40594: pyLoad Race Condition Vulnerability

  • CVE-2026-41133: pyLoad Privilege Escalation Vulnerability

  • CVE-2026-40071: pyLoad Privilege Escalation Vulnerability
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