Continuously monitor your software dependencies and CI/CD pipelines for supply chain compromises, malicious package injections, and credential-stealing payloads before they reach production.
Added Apr 30, 2026
Last signal 2h ago
Software teams are increasingly targeted by supply chain attacks where legitimate packages on npm, PyPI, and other registries are backdoored with credential-stealing payloads, often through compromised CI/CD pipelines and GitHub Actions. Manual audits and periodic scans miss zero-day compromises in the window between infection and detection, leaving teams exposed. High-profile attacks on packages like Bitwarden CLI, elementary-data, and SAP's npm packages show that even trusted, widely-used packages are vulnerable.
A SaaS platform that continuously monitors declared dependencies across npm, PyPI, Docker Hub, and other registries by diffing package contents at each new release against prior versions—flagging anomalous file additions (e.g., .pth files, preinstall hooks, tasks.json), obfuscated payloads, and unexpected network behavior. The platform integrates directly into CI/CD pipelines via GitHub Actions, GitLab CI, and webhooks to block builds when a dependency exhibits supply chain attack indicators, and provides real-time alerts with IOC summaries and remediation steps.
2024–2026 has seen an unprecedented surge in coordinated supply chain campaigns targeting npm, PyPI, and container registries simultaneously, with attackers now specifically targeting CI/CD tokens and AI coding assistant credentials. Existing tools like Dependabot and Snyk focus on known CVEs but lack behavioral analysis to catch novel, zero-day package tampering before vulnerability databases are updated.
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A lot of people who vibe coded their software might not know what sort of security risks could be in their code. We scan it and give you a report on how healthy your code is!
One single binary to scan, auto-patch, and safely rollback across Web, App, and OS layers without manual intervention. Zero dependencies. Zero telemetry. Engineered in Azerbaijan.. Product Hunt launch with 3 votes and 5 comments.
Hi everyone! I’m Ali, the developer behind Azeminal. I built this because I was tired of juggling disjointed security tools to keep production servers safe. Azeminal is designed as an 'all-in-one' autonomous security engine that consolidates vulnerability scanning, runtime input sanitization, and network hardening into a single CLI binary. My goal was to create a deterministic engine that acts like an active security engineer right in your terminal. I’m excited to hear your feedback on the auto-patching flow and how it fits into your workflow. Let me know what you think!
* Integrate, operate, and scale SAST and SCA tools within CI/CD pipelines to enable automated vulnerability detection and compliance. * Embed shift-left security practices across build, test, and deployment pipelines.
attestd is a CVE API for developers. Convert public vulnerability data and active exploitation signals into deterministic, machine-readable risk signals your automation and AI agents can act on directly.. Product Hunt launch with 3 votes and 3 comments.
I built Attestd because AI agents are making deployment and infrastructure decisions faster than humans can supervise, and the security data layer wasn't built for that world. Every CVE feed and vulnerability advisory is formatted for a human analyst to read. None of it is structured for an autonomous system to branch on. Since launching the supply chain pipeline, it has caught compromised packages across LiteLLM, PyTorch Lightning, Bitwarden CLI, TanStack, node-ipc, and others before public disclosure. All flagged as risk_state: none with supply_chain.compromised: true. One case came in 2.5 hours before BleepingComputer published. If you are building AI agents that make autonomous decisions about infrastructure or dependencies, that is exactly the use case Attestd is built for.
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