recreational-rosette
angr
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| recreational-rosette | angr | |
|---|---|---|
| 1 | 13 | |
| 108 | 7,203 | |
| - | 1.8% | |
| 0.0 | 9.7 | |
| over 5 years ago | 6 days ago | |
| Racket | Python | |
| - | BSD 2-clause "Simplified" License |
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recreational-rosette
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Programming in Z3 by learning to think like a compiler
I don't know about "practical," but you might enjoy this: https://github.com/kach/recreational-rosette
angr
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30 Years of Decompilation and the Unsolved Structuring Problem: Part 1
That's awesome! That's exactly how modern decompilers deal with a special type of goto occurrence. They reduce gotos (or completely eliminate them) by introducing a `while(true)` loop, followed by corresponding `continue` and `breaks`... we all, of course, know that `while(true)` did not exist in the source, but it's a nice hack!
We even do this in the angr decompiler, found here: https://github.com/angr/angr/blob/8e48d001e18a913ecd4ed2e995...
- Ask not what the compiler can do for you
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The Full Story of Large Language Models and RLHF
One would hope browser and OS vendors would use AI to remediate vulnerabilities but vast majority of software vendors won't ever use it.
Also, automated vulnerability finding is very much real and already used today. This isn't something that has just become viable via LLMs, but I guess LLMs can enhance it:
https://github.com/angr/angr
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Synthesizing optimal 8051 code with an SMT solver (2020)
Check out angr [1], a symbolic execution engine, and claripy [2], its frontend to SMT solvers like z3.
[1] https://angr.io
[2] https://api.angr.io/claripy.html
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Any standard algorithms for parsing (disassembling) machine code?
BAP (https://github.com/binaryanalysisplatform/bap), angr (https://angr.io/) and others already do what you're asking for as more purpose-built solutions for dynamic analysis. Angr specifically in python.
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Can anyone explain to me how to find main function in elf file?
As /u/hkei noted, it's actually quite difficult to do in general, and usually requires some kind of heuristic. For example, see https://github.com/dyninst/dyninst/blob/v12.1.0/dyninstAPI/src/image.C#L476. Full disclosure, I am a Dyninst developer. There is also the python-based angr that might be more amenable to a one-off solution.
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We are Legitimate Business Syndicate, DEF CON CTF Organizers 2013-2017, Ask Us Anything
I think there's a lot of promise in automation that's been spun off from the CTF community. Angr and Binary Ninja are both very much spinoffs from contest hacking, and are pretty great for helping a skilled hacker find flaws in software.
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Awesome Penetration Testing
angr - Platform-agnostic binary analysis framework.
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Programming in Z3 by learning to think like a compiler
angr uses z3.
https://github.com/angr/angr
Supposedly, the DoD has used angr for some use cases.
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What's a good technology to introduce to my company?
Try using angr to automate bug finding
What are some alternatives?
alive2 - Automatic verification of LLVM optimizations
qiling - A True Instrumentable Binary Emulation Framework
zz - 🍺🐙 ZetZ a zymbolic verifier and tranzpiler to bare metal C
pwntools - CTF framework and exploit development library
RustScan - 🤖 The Modern Port Scanner 🤖
frontier-silicon-firmwares - Frontier silicon internet radio firmware binaries
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.
bap - Binary Analysis Platform
BinV - 👓 Yet another binary vulnerbilities checker. An automated vulnerability scanner for ELF based on symbolic execution.
decompiler-explorer - Decompiler Explorer! Compare tools on the forefront of static analysis, now in your web browser!
awesome-pcaptools - A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.