Cyber Resilience

CVE-2025-8124

LowPublic PoC

Published: 25 July 2025

Published
25 July 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 0.0022 45.1th percentile
Risk Priority 4 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-8124 is a low-severity Injection (CWE-74) vulnerability in Deerwms Deer-Wms-2. Its CVSS base score is 2.1 (Low).

Operationally, ranked at the 45.1th 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 deerwms deer-wms-2 up to 3.3. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /system/role/authUser/unallocatedList. The manipulation of the argument params[dataScope] leads to sql injection. The attack…

more

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

deerwms
deer-wms-2
≤ 3.3

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