Cyber Resilience

CVE-2025-8203

Low

Published: 26 July 2025

Published
26 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 0.0016 37.4th percentile
Risk Priority 4 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-8203 is a low-severity Injection (CWE-74) vulnerability in Jingmen Zeyou Large File Upload Control. Its CVSS base score is 2.1 (Low).

Operationally, ranked at the 37.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability classified as critical has been found in Jingmen Zeyou Large File Upload Control up to 6.3. Affected is an unknown function of the file /index.jsp. The manipulation of the argument ID leads to sql injection. It is possible…

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to launch the attack remotely. The exploit has been disclosed to the public and may be used. 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

jingmen zeyou
large file upload control
≤ 6.3

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