I’m trying to feel more comfortable using random GitHub projects, basically.
Privado CLI will produce a list of data exfilration points in the code.
If the JSON output file points out a bunch of endpoints you don’t recognize from the README, then I wouldn’t trust the project.
Privado likely won’t catch a malicious binary file, but your local PC antivirus likely will.
The solution to what you want is not to analyze the code projects automagically, but rather to run them in a container/virtual machine. Running them in an environment which restricts what they can access limits the harm an intentional — or accidental bug can do.
There is no way to automatically analyze code for malice, or bugs with 100% reliability.
That is another tool you can use to reduce the risk of malicious code, but it isn’t perfect, so using sandboxing doesn’t mean you can forget about all other security tools.
There is no way to automatically analyze code for malice, or bugs with 100% reliability.
He wasn’t asking for 100% reliability. 100% and 0% are not the only possibilities.
Of course, 100% reliability is impossible even with human reviewers. I just want a tool that gives me at least something, cause I don’t have the time or knowledge to review a full repo before executing it on my machine.
Not exactly what you asked, but related; roast your Github profile: https://github-roast.pages.dev/
How is that related? I don’t see it.
It’s an AI tool analyzing a Git repo.
It doesn’t analyze only one repo
What do you consider malicious, specifically. Because AI are not magic boxes, they are regurgitation machines prone to hallucinations. You need to train it on examples to identify what you want from it.
I just want a report that says “we detected in line 27 or file X, a particular behavior that feels weird as it tries to upload your environment variables into some unexpected URL”.
particular behavior that feels weird
Yea, AI doesn’t do feelings.
tries to upload your environment variables into some unexpected URL
Most of the time that is obfuscated and can’t be detected as part of a code review. It only shows up in dynamic analysis.
AI doesn’t do feelings
How can I have a serious conversation with these annoying answers? Come on, you know what I am talking about. Even an AI chatbot would know what I mean.
Any AI chatbot, even “general purpose” ones will read your code and will return a description of what it does if you ask it.
And particularly AI would be great at catching “useless”, “weird” or unexplainable code in a repository. Maybe not with the current levels of context. But that’s what I want to know, if these tools (or anything similar) exist yet.
Thank you.
Questions about AI seem to always bring out these naysayers. I can only assume they feel threatened? You see the same tedious fallacies again and again:
- AI can’t “think” (using some arbitrary and unstated definition of the word “think” that just so happens to exclude AI by definition).
- They’re stochastic parrots and can only reproduce things they’ve seen in their training set (despite copious evidence to the contrary).
- They’re just “next word predictors” so they fundamentally are incapable of doing X (where X is a thing they have already done).
AI doesn’t do feelings
It absolutely does. I don’t know where you got that weird idea.
Honey your AI girlfriend doesn’t actually love you
Define love. Good luck.
You’re right, I hope the two of you are very happy
Perhaps snyk.io I used it in the past, but I didn’t find it quite useful. Now I have a github action to upgrade dependencies every week. But you want some kind of scanner to be more involved on the actual codebase. Did you look into https://github.com/marketplace?query=security ? That’s what I would do. But I never heard of any of those listed there. Let us know your findings after some time if you test 'em ;) good luck!
