CVE-2024-21645
Pyload ≤ 0.4.9
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:NSummary
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
- 🇪🇺 ENISA EUVD: EUVD-2024-0358
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…
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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
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.1V1.2.3V1.2.5V1.2.8
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.
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.
Security testing in development catches injection vulnerabilities before release.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection attacks in software design.
Secure architecture principles reduce injection surfaces but do not prescribe specific neutralization techniques.