Cyber Resilience

CVE-2024-21645

Pyload ≤ 0.4.9

Public PoC
Published
08 January 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 5.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.25 98th percentile
Risk Priority 70 floored blend · peak EPSS

Summary

CVE-2024-21645 is a medium-severity Injection (CWE-74) vulnerability in Pyload Pyload. Its CVSS base score is 5.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 2% of CVEs by exploit likelihood; 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 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.

pyLoad, the open-source Python download manager, contains a log injection vulnerability tracked as CVE-2024-21645. The flaw permits arbitrary messages to be written into the application's logs without authentication, enabling forged or corrupted log entries that could mask attacker activity or falsely implicate another party. It is rated CVSS 5.3 and is assigned CWE-74.

Any unauthenticated remote attacker can exploit the issue over the network to inject chosen content into pyLoad logs, achieving limited integrity impact without affecting confidentiality or availability.

The vulnerability was addressed in version 0.5.0b3.dev77, as detailed in the GitHub security advisory GHSA-ghmw-rwh8-6qmr and the associated commit 4159a1191ec4fe6d927e57a9c4bb8f54e16c381d.

EPSS scores reached a peak of 0.7349 with a current value of 0.6910.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files…

more

can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.

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.
T1221 Template Injection Stealth
Adversaries may create or modify references in user document templates to conceal malicious code or force authentication attempts.
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1674 Input Injection Execution
Adversaries may simulate keystrokes on a victim’s computer by various means to perform any type of action on behalf of the user, such as launching the command interpreter using keyboard shortcuts, typing an inline script to be executed,…
T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
T1059.001 PowerShell Execution
Adversaries may abuse PowerShell commands and scripts for execution.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-23749Shared CWE-74
CVE-2023-48835Shared CWE-74
CVE-2023-51939Shared CWE-74
CVE-2023-33242Shared CWE-74
CVE-2023-4157Shared CWE-74
CVE-2024-28191Shared CWE-74
CVE-2022-2992Shared CWE-74
CVE-2023-44373Shared CWE-74
CVE-2020-9757Shared CWE-74
CVE-2024-42914Shared CWE-74

Affected Assets

pyload
pyload
0.5.0 · ≤ 0.4.9

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)
  • V1.2.1
  • V1.2.3
  • V1.2.5
  • V1.2.8

Mitigating Controls (NIST 800-53 r5) AI

SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.

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-06 mostly match
prevents

Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.

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 injection vulnerabilities before release.

A.8.15 Logging partial match
finds

Logging supports detection of injection attempts but does not prevent the weakness.

finds

Monitoring activities can identify active injection attacks after they occur.

prevents

Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.

prevents

Application security requirements explicitly call for controls against injection attacks in software design.

prevents

Secure architecture principles reduce injection surfaces but do not prescribe specific neutralization techniques.

References