Cyber Resilience

CVE-2024-40035

MediumPublic PoC

Published: 09 July 2024

Published
09 July 2024
Modified
15 April 2025
KEV Added
Patch
CVSS Score v3.1 5.9 CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
EPSS Score 0.0010 27.5th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-40035 is a medium-severity CSRF (CWE-352) vulnerability in Idccms Idccms. Its CVSS base score is 5.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

idccms v1.35 was discovered to contain a Cross-Site Request Forgery (CSRF) vulnerability via /admin/userLevel_deal.php?mudi=add.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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.
Why these techniques?

The CSRF vulnerability in the idccms admin panel (/admin/userLevel_deal.php?mudi=add) allows attackers to exploit the public-facing web application to perform unauthorized actions, such as adding user levels, by tricking authenticated administrators.

Affected Assets

idccms
idccms
1.35

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-352

Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.

addresses: CWE-352

Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.

addresses: CWE-352

Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.

addresses: CWE-352

Detects anomalous request patterns consistent with cross-site request forgery.

References