CVE-2025-9977
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.
Overview
CVE-2025-9977 is a known-severity vulnerability. It was published on November 18, 2025.
Technical description
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 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.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
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Frequently asked questions
What is CVE-2025-9977?
CVE-2025-9977 is a known-severity vulnerability. It was published on November 18, 2025.
How severe is CVE-2025-9977?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-9977?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-9977?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-9977 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.