Cyber Resilience

CVE-2025-15209

LowPublic PoC

Published: 29 December 2025

Published
29 December 2025
Modified
29 April 2026
KEV Added
Patch
CVSS Score v4 2.1 CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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 0.0031 22.6th percentile
Risk Priority 15 floored blend · peak EPSS

Summary

CVE-2025-15209 is a low-severity Injection (CWE-74) vulnerability in Fabian Refugee Food Management System. Its CVSS base score is 2.1 (Low).

Operationally, ranked at the 22.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability details

A weakness has been identified in code-projects Refugee Food Management System 1.0. This affects an unknown part of the file /home/editfood.php. This manipulation of the argument a/b/c/d causes sql injection. The attack may be initiated remotely. The exploit has been…

more

made available to the public and could be exploited.

CWE(s)

Related Threats

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

Affected Assets

fabian
refugee food management 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-89

Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.

addresses: CWE-74

Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.

addresses: CWE-89

Validates query inputs to prevent SQL syntax or command manipulation.

addresses: CWE-74

Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.

References