Cyber Resilience

CVE-2025-2852

MediumPublic PoC

Published: 27 March 2025

Published
27 March 2025
Modified
01 April 2025
KEV Added
Patch
CVSS Score v4 5.1 CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/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 0.0028 51.3th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-2852 is a medium-severity Injection (CWE-74) vulnerability in Oretnom23 Food Ordering Management System. Its CVSS base score is 5.1 (Medium).

Operationally, ranked in the top 48.7% 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

A vulnerability has been found in SourceCodester Food Ordering Management System up to 1.0 and classified as critical. Affected by this vulnerability is an unknown functionality of the file /admin/menus/view_menu.php. The manipulation of the argument ID leads to sql injection.…

more

The attack can be launched remotely. The 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

oretnom23
food ordering 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