Cyber Resilience

CVE-2025-14485

Low

Published: 11 December 2025

Published
11 December 2025
Modified
29 April 2026
KEV Added
Patch
CVSS Score v4 1.3 CVSS:4.0/AV:N/AC:H/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 0.0049 66.0th percentile
Risk Priority 3 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-14485 is a low-severity Injection (CWE-74) vulnerability in Baidu (inferred from references). Its CVSS base score is 1.3 (Low).

Operationally, ranked in the top 34.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A weakness has been identified in EFM ipTIME A3004T 14.19.0. This vulnerability affects the function show_debug_screen of the file /sess-bin/timepro.cgi of the component Administrator Password Handler. This manipulation of the argument aaksjdkfj with the input !@dnjsrureljrm*& causes command injection. The…

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attack is possible to be carried out remotely. The complexity of an attack is rather high. It is stated that the exploitability is difficult. The exploit has been made available to the public and could be exploited. The vendor was contacted early about this disclosure but did not respond in any way.

CWE(s)

Related Threats

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

Affected Assets

Baidu
inferred from references and description; NVD did not file a CPE for this CVE

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-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-74

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

References