Cyber Resilience

CVE-2026-32808

Path Traversal in Pyload ≤ 0.4.20

Public PoCPath Traversal
Published
20 March 2026
Modified
26 March 2026
Patch / advisory
CVSS Score v3.1 8.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
EPSS Score 0.0033 25th percentile
Risk Priority 59 floored blend · peak EPSS

Summary

CVE-2026-32808 is a high-severity Path Traversal (CWE-22) vulnerability in Pyload Pyload. Its CVSS base score is 8.1 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 25th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2026-32808 is a path traversal vulnerability (CWE-22) in pyLoad, a free and open-source download manager written in Python. Versions prior to 0.5.0b3.dev97 are affected during password verification of certain encrypted 7z archives, specifically those with encrypted files but non-encrypted headers. In this process, pyLoad derives an archive entry name from the 7z listing output and uses it as a filesystem path without restricting it to the extraction directory, enabling arbitrary file deletion outside that directory. The vulnerability carries a CVSS v3.1 base score of 8.1 (AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H).

A remote attacker can exploit this vulnerability by tricking a user into adding a specially crafted encrypted 7z archive to pyLoad for password verification. No privileges are required, but user interaction is necessary, such as selecting or processing the malicious archive through the download manager's interface. Successful exploitation allows the attacker to delete arbitrary files on the victim's filesystem, with high impact on integrity and availability but no confidentiality impact.

The issue has been addressed in pyLoad version 0.5.0b3.dev97. Additional details are available in the GitHub Security Advisory at https://github.com/pyload/pyload/security/advisories/GHSA-7g4m-8hx2-4qh3.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

pyLoad is 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 (encrypted files with non-encrypted headers), causing arbitrary file deletion outside of the extraction…

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directory. During password verification, pyLoad derives an archive entry name from 7z listing output and treats it as a filesystem path without constraining it to the extraction directory. This issue has been fixed in version 0.5.0b3.dev97.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-47890Same product: Pyload Pyload
CVE-2026-42314Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-35592Same product: Pyload-Ng Project Pyload-Ng
CVE-2025-54802Same product: Pyload-Ng Project Pyload-Ng
CVE-2026-42315Same product: Pyload-Ng Project Pyload-Ng
CVE-2025-21048Shared CWE-22
CVE-2026-23939Shared CWE-22
CVE-2024-7145Shared CWE-22
CVE-2023-42225Shared CWE-22
CVE-2024-33109Shared CWE-22

Affected Assets

pyload
pyload
≤ 0.4.20
pyload-ng project
pyload-ng
0.5.0a5.dev528 — 0.5.0b3.dev97

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V5.3.2

Mitigating Controls (NIST 800-53 r5) AI

Enforces the intended directory access authorizations that path traversal would otherwise bypass.

Input validation directly neutralizes special path elements before pathname construction occurs.

Least privilege reduces the impact of any unauthorized file access obtained via traversal.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-02 partial match
prevents

Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.

PR.AA-05 none match
prevents

PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing in development catches path traversal via static/dynamic analysis.

prevents

Secure SDLC mandates input validation and path sanitization that directly prevent path traversal.

prevents

Application security requirements include rules for safe file handling and canonicalization.

prevents

Secure architecture principles require least-privilege file access and directory isolation.

prevents

Secure coding standards explicitly forbid unsafe path construction and mandate safe APIs.

mitigates

Information access restriction limits which files an application may read or write.

References