CVE-2022-50594
Published: 06 November 2025
Summary
CVE-2022-50594 is a high-severity SQL Injection (CWE-89) vulnerability in Advantech Iview. Its CVSS base score is 8.8 (High).
Operationally, ranked at the 32.4th 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-2025-38178
Vulnerability details
Advantech iView versions prior to v5.7.04 build 6425 contain a vulnerability within the SNMP management tool that allows for remote attackers to bypass authentication checks and reach a SQL injection vulnerability within the ‘data’ parameter to the ‘NetworkServlet’ endpoint. Successful…
more
exploitation allows for the exfiltration of user data, included clear text passwords.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Requires established identification and authentication to unlock, mitigating missing authentication for continued system access.
Requiring identification and rationale for actions allowed without authentication ensures critical functions are not left unprotected by forcing review of authentication requirements.
Authorizing mobile device connections to organizational systems ensures authentication is performed for this critical access function.
Guarantees critical functions are protected by mandatory invocation of the access control mechanism.
Auditing sessions makes it possible to detect access to critical functions without required authentication.
The assessment process confirms authentication is present and effective for critical functions, preventing exploitation from missing authentication.
Certification assesses that critical functions have required authentication controls in place.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.