CVE-2025-65947
thread-amount is a tool that gets the amount of threads in the current process.
Overview
CVE-2025-65947 is a known-severity vulnerability. It was published on November 21, 2025.
Technical description
thread-amount is a tool that gets the amount of threads in the current process. Prior to version 0.2.2, there are resource leaks when querying thread counts on Windows and Apple platforms. In Windows platforms, the thread_amount function calls CreateToolhelp32Snapshot but fails to close the returned HANDLE using CloseHandle. Repeated calls to this function will cause the handle count of the process to grow indefinitely, eventually leading to system instability or process termination when the handle limit is reached. In Apple platforms, the thread_amount function calls task_threads (via Mach kernel APIs) which allocates memory for the thread list. The function fails to deallocate this memory using vm_deallocate. Repeated calls will result in a steady memory leak, eventually causing the process to be killed by the OOM (Out of Memory) killer. This issue has been patched in version 0.2.2.
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-2025-65947?
CVE-2025-65947 is a known-severity vulnerability. It was published on November 21, 2025.
How severe is CVE-2025-65947?
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-2025-65947?
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-2025-65947?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-65947 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.