Cyber Resilience

CVE-2024-22416

CSRF in Pyload-Ng Project Pyload-Ng ≤ 0.5.0b3.dev78

Public PoCCSRF
Published
18 January 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 9.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
EPSS Score 0.0095 58th percentile
Risk Priority 75 floored blend · peak EPSS

Summary

CVE-2024-22416 is a critical-severity CSRF (CWE-352) vulnerability in Pyload-Ng Project Pyload-Ng. Its CVSS base score is 9.6 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 42% 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 AC-3 (Access Enforcement) and SC-23 (Session Authenticity) — 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, an open-source Python download manager, is affected by a CSRF vulnerability in its API. The API accepts arbitrary calls over GET requests, and the session cookie lacks the SameSite=strict attribute, allowing any API action to be triggered without authentication.

An unauthenticated remote attacker can exploit the flaw by luring a logged-in user into visiting a malicious page or link, resulting in unauthorized execution of any API call. With a CVSS score of 9.6, successful exploitation can fully compromise confidentiality, integrity, and availability with changed scope.

The issue is resolved in release 0.5.0b3.dev78. The project’s security advisory and associated commits on GitHub recommend immediate upgrade for all users; no other mitigations such as WAF rules or cookie configuration changes are specified. EPSS remains flat at 0.0590 with no post-disclosure increase.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

pyLoad is a free and open-source Download Manager written in pure Python. The `pyload` API allows any API call to be made using GET requests. Since the session cookie is not set to `SameSite: strict`, this opens the library up…

more

to severe attack possibilities via a Cross-Site Request Forgery (CSRF) attack. As a result any API call can be made via a CSRF attack by an unauthenticated user. This issue has been addressed in release `0.5.0b3.dev78`. All users are advised to upgrade.

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-2024-8489Shared CWE-352
CVE-2024-51638Shared CWE-352
CVE-2025-23804Shared CWE-352
CVE-2024-36667Shared CWE-352
CVE-2024-26445Shared CWE-352
CVE-2024-22601Shared CWE-352
CVE-2023-50766Shared CWE-352
CVE-2025-9635Shared CWE-352
CVE-2025-30541Shared CWE-352
CVE-2023-27520Shared CWE-352

Affected Assets

pyload-ng project
pyload-ng
≤ 0.5.0b3.dev78

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)
  • V3.3.2
  • V3.5.1
  • V10.2.1

Mitigating Controls (NIST 800-53 r5) AI

Access enforcement requires verifying that state-changing requests originate from the authenticated user rather than a forged cross-site source.

Protecting session authenticity prevents attackers from replaying or forging authenticated requests via the victim's browser.

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 anti-CSRF controls such as tokens or SameSite attributes.

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.

mitigates

By denying access to phishing or malicious sites, the control lowers the likelihood that a user will be tricked into submitting a forged request that performs an unintended action on another site.

none

Contextual intelligence about emerging CSRF toolkits can be translated into updated anti-CSRF token or same-site policy configurations across applications.

References