An example is available at https://github.com/panda-re/panda/blob/pypanda-dev/panda/pypanda/examples/unicorn/basic.py …. Seems like there’s sufficient interest so I’ll plan to get started on those blog posts soon!
Prikaži ovu nit
Added a new interface to PANDA today which mostly recreates Unicorn Engine but with support for taint analysis (and all the other existing PANDA features). Might be time for a series of blog posts about using PANDA from python.
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Very cool! I might try to implement this as an angr engine, how heavyweight is this vs. Unicorn? Cool stuff
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It’s certainly heavier weight than unicorn. We have all of QEMU plus more while Unicorn is based off a subset of QEMU. We also have some angr integrations already thanks to panda-avatar. And then we also have a (kind of) builtin way to go from concrete executions into angr
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Got some docs for this already? Can I just start running code without any hardware config as well?
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For ARM, yes! Thanks to the configurable-machine which now got merged into PANDA (previously part of avatar2.) Look at an example here: https://github.com/panda-re/panda/blob/pypanda-dev/panda/pypanda/examples/unicorn/run.py … I think more convenient wrappers are to follow soon, but the base functionality is there.
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Awesome. How long has the taint slicing been working in panda2? I remember it being broken/not ported originally and didn’t see when it was merged in. Does it still require re-running the emulation to slice?
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Longer than I've been on the project, I think 2-3 years. And it can be run on a live (non-replay) system, but we recommend using it on a replay to ensure that any slowdown caused by the taint analysis doesn't change the system's behavior.
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