CVE-2025-9977
Published: 18 November 2025
Summary
CVE-2025-9977 is a medium-severity SQL Injection (CWE-89) vulnerability in Cert (inferred from references). Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 14.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-198043
- 🇵🇱 CERT-PL: cert.pl
Vulnerability details
Value provided in one of POST parameters sent during the process of logging in to Times Software E-Payroll is not sanitized properly, which allows an unauthenticated attacker to perform DoS attacks. SQL injection attacks might also be feasible, although so…
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far creating a working exploit has been prevented probably by backend filtering mechanisms. Additionally, command injection attempts cause the application to return extensive error messages disclosing some information about the internal infrastructure. Patching status is unknown because the vendor has not replied to messages sent by the CNA.
- 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.
Detects error messages that leak sensitive information as evidence of disclosure.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.
The control directly mitigates generation of error messages containing sensitive authentication details by requiring obscured feedback instead of verbose responses.
Misdirection allows generation of misleading error messages that withhold or falsify sensitive details.
Validates query inputs to prevent SQL syntax or command manipulation.
Explicitly requires error messages to avoid including sensitive or exploitable details while still supporting corrective action.
Validation ensures error messages contain only expected, non-sensitive content and blocks leakage via verbose errors.
Fail-safe procedures can be defined to suppress or sanitize error output, reducing generation of messages that contain sensitive information.