vet VS foqos

I am working on a next-gen software composition analysis tool that can identify malicious open source packages through code analysis. Adopts a policy as code (CEL) approach to build security guardrails against risky OSS components using opinionated policies.

GitHub: https://github.com/safedep/vet

Our free and open source tool vet is integrated with the SafeDep Cloud Package Scanning Service and can be used to detect malicious packages before they are installed. vet-action is a GitHub Action that can be used to establish proactive guardrails against malicious open source packages in your GitHub Actions workflows.

Explore about SafeDep on GitHub - https://github.com/safedep/vet

Not sure if it’s relevant because you specifically mentioned about B2C.

For cyber security product, we took the open source route. We build our core technology in public as open source project.

https://github.com/safedep/vet

The commercial SaaS is for scaling and management. Our entire funnel is based on OSS. Folks who have already found value and is looking to scale their deployment.

This model works for us especially at our current stage where we are 100% engineering led.

May be try out vet as well: https://github.com/safedep/vet

vet is backed by a code analysis engine that performs malicious package (npm, pypi etc.) scanning. We recently extended it to support GitHub repository scanning as well.

It found the malicious behaviour in mcp-servers-example/bad-mcp-server.js

➡️ https://github.com/safedep/vet

Malicious code in open sources is real and people get hacked due to it as we have seen with changed-files incident, ultralytics hack and multiple such incidents. vet now supports identification of malicious OSS packages through active code analysis.

I think the conventional approach of checking for vulnerabilities in 3rd party dependencies by querying CVE or some other database has set the current behaviour i.e. if its not vulnerable it must be safe. This implicit trust on vulnerability databases has been exploited in the wild to push malicious code to downstream users.

I think we will see security tools shifting towards "code" as the source of truth when making safety and security decision about 3rd party packages instead of relying only on known vulnerability databases.

Take a look at vet, we are working on active code analysis of OSS packages (+ transitive dependencies) to look for malicious code: https://github.com/safedep/vet

I posted on HN about Foqos: https://www.foqos.app/ and got a few hundred downloads that same day which is awesome. I still continue to reach out to creators in Youtube and tiktok who have reviewed similar products to see if they would give any feedback. Usually since they have a larger online presence than I do, I noticed the publicly started recommending the app to others on Reddit, Threads, etc...

I've been also posting on threads after each update. I have over a 1000 downloads now, I don't have tracking but getting a consistent download rate of about 30 a day

Zero marketing and its been a ton of fun so far. Hope that helps!

I launched Foqos here a few months back: https://github.com/awaseem/foqos and just working on the feedback. Since then added QR codes, breaks, ability to block apps manually and even a mini redesign. It’s been a ton of fun so far!

Damn I love this! how was the process of getting approval from the app store? Wondering if you had to send videos instead of having reviewers touch grass. I launched Foqos earlier this month: https://github.com/awaseem/foqos and the review was brutal plus the form you need to submit to get permissions for Family activity