Some background: I’m a software developer, and I’ve never really participated in the open source software community before. (i.e. I don’t contribute to open source projects, I don’t know anyone who does, and I don’t really know anything about the companies who start these projects to begin with, or what their motivations are for being open source.)

I’m currently trying to find software that my team at work can use to solve a particular problem we have. After doing some googling, it looks like this open source product called OpenReplay is a good fit for what we need: https://openreplay.com/

But when I first visited that website, I noticed that the background artwork looks AI generated. This made me feel skeptical of the project, and it makes me wonder: what if it’s actually a huge scam and it’s actually malware? For example, maybe OpenReplay is actually a copy of a different legitimate product that I’m not aware of. Maybe all of the stars, forks, and discussions on the GitHub page are from fake accounts. When I Google OpenReplay, there aren’t a whole lot of results. How do I know if it’s trustworthy if I can’t find an authoritative source telling me it is?

Maybe I’m just being paranoid. But this is basically the first time in my career where I’ve tried to vet a new piece of software for my team to use, and I want to make sure I’m doing it right. How do you know when a product like this can be trusted?

EDIT: I don’t mean to cast doubt on OpenReplay specifically, I’m just using that as an example because it’s the product I’m currently looking into. My question applies to any piece of software that isn’t widely known about.

  • @sus@programming.dev
    21•1 month ago

    All 9k stars, 10k PRs, 400 forks & professional web site are fake?

    Technically, it is entirely possible to find a real existing project, make a carbon copy of the website (there are automated tools to accomplish this), then have a massive amount of bots give 9K stars and make a lot of PRs, issues and forks (bonus points if these are also copies of actual existing issues/PRs) and generate a fake commit history (this should be entirely possible with git), a bunch of releases could be quickly generated too. Though you would probably be able to notice pretty quickly that timestamps don’t match since I don’t think github features like issues can have fake timestamps (unlike git)

    though I don’t think this has ever actually been done, there are services that claim to sell not only stars but issues, pull requests and forks too. Though assuming the service is not just a scam in itself, any cursory look at the contents of the issues etc would probably give away that they are AI generated