pqc-migration-scanner is an open-source CLI tool that scans codebases for vulnerabilities related to post-quantum cryptography. Below are 7 security & compliance platforms apps with similar functionality to pqc-migration-scanner, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
pqc-scan is a command-line tool designed for developers and security engineers to scan codebases for cryptographic algorithms that are vulnerable to quantum attacks. It provides static analysis and outputs results in SARIF format, helping teams improve their security posture. The tool is open source and distributed via PyPI.
pqc-scanner is a command-line tool for automated timing side-channel scanning of NIST PQC standards ML-KEM and ML-DSA. It helps security researchers and cryptographers identify vulnerabilities in post-quantum cryptographic implementations.
pqc-check is an open-source command-line tool that scans cryptographic implementations for vulnerabilities to quantum attacks. It helps security engineers and developers assess and improve the quantum safety of their codebases. Distributed under the MIT license, it is freely available for integration into security workflows.
pqcheck is an open-source command-line tool that scans source code and dependency graphs to detect risks related to post-quantum cryptography. It helps security engineers and developers identify vulnerable algorithms and supply-chain issues, supporting SBOM and SARIF formats for integration into security workflows.
qorex is an open-source CLI tool that scans codebases for cryptography vulnerable to quantum attacks and provides guidance for migrating to NIST post-quantum cryptography standards. It is designed for security engineers and developers focused on future-proofing their applications.
pqcprobe is a command-line tool for probing server TLS configurations and evaluating readiness for post-quantum key exchanges, specifically ML-KEM. It helps security engineers and administrators audit cryptographic compliance and future-proof their infrastructure.
Scan repositories to detect GenAI and Agentic AI applications, identify LLM usage, and analyze agent intent
