CVE-2025-8220
Published: 27 July 2025
Summary
CVE-2025-8220 is a medium-severity Injection (CWE-74) vulnerability in Engeman Web. Its CVSS base score is 5.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 14.1th 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
- 🇪🇺 ENISA EUVD: EUVD-2025-22808
Vulnerability details
A vulnerability has been found in Engeman Web up to 12.0.0.2. The affected element is an unknown function of the file /Login/RecoveryPass of the component Password Recovery Page. The manipulation of the argument LanguageCombobox as part of Cookie leads to…
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sql injection. The attack is possible to be carried out remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 12.0.0.3 is sufficient to fix this issue. Upgrading the affected component is advised. The vendor was contacted early about this disclosure but did not respond in any way.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Unauthenticated SQL injection in public-facing web application's password recovery page enables exploitation of public-facing applications (T1190), data collection from databases via dumping tables/records (T1213.006), and stored data manipulation including alterations for integrity violation or component-level DoS (T1565.001).
Affected Assets
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.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Validates query inputs to prevent SQL syntax or command manipulation.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.