[0]: https://www.alchemistowl.org/pocorgtfo/
[1]: https://www.alchemistowl.org/pocorgtfo/pocorgtfo16.pdf
Edit: just tested, and it does only identify the zip layer
It's relatively limited compared to `file` (~10% coverage), it's more like a specialized classificator for basic file formats, so such cases are really out-of-scope.
I guess it's more for detecting common file formats then with high recall.
However, where is the actual source of the model ? Let's say I want to add a new file format myself.
Apparently only the source of the interpreter is here, not the source of the model nor the training set, which is the most important thing.
Do you plan to release the training code along the research paper? What about the dataset?
In any case, it's very neat to have ML-based technique and lightweight model for such tasks!
I've tried a few that aren't "basic" but are widely used enough to be well supported in libmagic and it thinks they're zip files. I know enough about the underlying formats to know they're not using zip as a container under-the-hood.
Cool that you can use it online though. Might end up using it like that. Although it seems like it may focus on common formats.