Cyber Resilience

CVE-2025-15165

MediumPublic PoC

Published: 29 December 2025

Published
29 December 2025
Modified
29 April 2026
KEV Added
Patch
CVSS Score v4 5.5 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/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 0.0033 24.4th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2025-15165 is a medium-severity Injection (CWE-74) vulnerability in Admerc Online Cake Ordering System. Its CVSS base score is 5.5 (Medium).

Operationally, ranked at the 24.4th 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 vulnerability has been found in itsourcecode Online Cake Ordering System 1.0. The impacted element is an unknown function of the file /updatecustomer.php?action=edit. The manipulation of the argument ID leads to sql injection. The attack may be initiated remotely. The…

more

exploit has been disclosed to the public and may be used.

CWE(s)

Related Threats

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

Affected Assets

admerc
online cake ordering 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