We’re back again with another edition of the Overflow, where we share some of the best tools we’ve found from around the web that we just couldn’t cram into the already jam-packed editions of the Dev Digest.

So let’s take a look at five security and privacy tools you can pick up and run with right away. As always, watch the video below or keep reading to follow the links:

[VIDEO EMBED]

1. git-secrets

Each year, tens of millions of secrets get leaked on GitHub. With git-secrets, you can hook into your Git workflow and block any commit that contains something that looks like a credential, whether that’s an API key, password or other kind of potentially-sensitive data.

🔗 https://github.com/awslabs/git-secrets

2. StatiCrypt

StatiCrypt lets you encrypt a static HTML page with a password so you can host it publicly, but only people with the password can see the content. Everything is decrypted client-side in the browser with no backend required. It’s perfect for sharing sensitive documentation, internal pages, or prototypes without spinning up authentication.

🔗 https://github.com/robinmoisson/staticrypt

3. Retriever

Stopping leaks is one thing, but what about when you actually need to share a secret with a teammate? Don’t just paste it in Slack. Retriever lets you request credentials through an encrypted link. No server ever touches the data, and the secret is gone after it’s been accessed, making it one of the simplest secure ways to hand something sensitive off, and fast.

🔗 https://retriever.corgea.io/

4. garak

If you’re building with large language models, garak is a must. It’s NVIDIA’s open-source vulnerability scanner for LLMs that probes for prompt injection, data leakage, hallucinations, and other weaknesses.

🔗 https://github.com/NVIDIA/garak

5. Sniffnet

Sniffnet is a desktop app that gives you a real-time visual dashboard of all your network traffic. You can see exactly what’s connecting, where it’s going, and filter by protocol, country, or application. Even if there’s nothing malicious going on, you might be surprised to see how much traffic is on your network.

🔗 https://github.com/GyulyVGC/sniffnet


We hope you found this article useful, and be sure to check back for the next edition soon and send in your favourite tools for a shoutout.