Cyber Resilience

CVE-2024-7226

MediumPublic PoC

Published: 30 July 2024

Published
30 July 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v4 6.9 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0013 31.8th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-7226 is a medium-severity CSRF (CWE-352) vulnerability in Oretnom23 Medicine Tracker System. Its CVSS base score is 6.9 (Medium).

Operationally, ranked at the 31.8th 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

A vulnerability was found in SourceCodester Medicine Tracker System 1.0. It has been declared as problematic. This vulnerability affects unknown code of the file /classes/Users.php?f=save_user of the component Password Change Handler. The manipulation leads to cross-site request forgery. The attack…

more

can be initiated remotely. The exploit has been disclosed to the public and may be used. VDB-272806 is the identifier assigned to this vulnerability.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

oretnom23
medicine tracker system
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