Cyber Resilience

CVE-2024-48758

MediumPublic PoC

Published: 16 October 2024

Published
16 October 2024
Modified
27 May 2025
KEV Added
Patch
CVSS Score v3.1 6.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0064 71.1th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-48758 is a medium-severity CSRF (CWE-352) vulnerability in Timgreen Dingfanzu Cms. Its CVSS base score is 6.1 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 28.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

dingfanzu CMS V1.0 was discovered to contain a Cross-Site Request Forgery (CSRF) via the addPro parameter of the component doAdminAction.php which allows a remote attacker to execute arbitrary code

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 dingfanzu CMS V1.0 allows remote attackers to execute arbitrary code via the addPro parameter in doAdminAction.php, exploiting a public-facing web application.

Affected Assets

timgreen
dingfanzu cms
1.0

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