478ae3c96c
drop_bad_functions() collects the address of every function that starts in the middle of an instruction, then deletes `func_addr` instead of `node_addr`. `func_addr` is whatever the loop above left behind, so the function that starts inside an instruction stays in the function manager with its node removed, and an unrelated function is deleted in its place. FunctionManager.__delitem__ checks membership before deleting, so the second and later iterations do nothing and the mistake is silent. On x86_64/windows/50e5f670... the scan lands at 0x4249f4, inside the instruction at 0x4249f1, and 0x424cc0 goes instead. |
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|---|---|---|
| .github | ||
| angr | ||
| corpus_tests | ||
| docs | ||
| native | ||
| tests | ||
| .dockerignore | ||
| .git-blame-ignore-revs | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .readthedocs.yml | ||
| Cargo.lock | ||
| Cargo.toml | ||
| COPYRIGHT | ||
| LICENSE | ||
| MANIFEST.in | ||
| pyproject.toml | ||
| README.md | ||
| rust-toolchain.toml | ||
| SECURITY.md | ||
| setup.py | ||
angr
angr is a platform-agnostic binary analysis framework. It is brought to you by the Computer Security Lab at UC Santa Barbara, SEFCOM at Arizona State University, their associated CTF team, Shellphish, the open source community, and @rhelmot.
Project Links
Homepage: https://angr.io
Project repository: https://github.com/angr/angr
Documentation: https://docs.angr.io
API Documentation: https://docs.angr.io/en/latest/api.html
What is angr?
angr is a suite of Python 3 libraries that let you load a binary and do a lot of cool things to it:
- Disassembly and intermediate-representation lifting
- Program instrumentation
- Symbolic execution
- Control-flow analysis
- Data-dependency analysis
- Value-set analysis (VSA)
- Decompilation
The most common angr operation is loading a binary: p = angr.Project('/bin/bash') If you do this in an enhanced REPL like IPython, you can use tab-autocomplete to browse the top-level-accessible methods and their docstrings.
The short version of "how to install angr" is mkvirtualenv --python=$(which python3) angr && python -m pip install angr.
Example
angr does a lot of binary analysis stuff. To get you started, here's a simple example of using symbolic execution to get a flag in a CTF challenge.
import angr
project = angr.Project("angr-doc/examples/defcamp_r100/r100", auto_load_libs=False)
@project.hook(0x400844)
def print_flag(state):
print("FLAG SHOULD BE:", state.posix.dumps(0))
project.terminate_execution()
project.execute()
Quick Start
- Install Instructions
- Documentation as HTML and sources in the angr Github repository
- Dive right in: top-level-accessible methods
- Examples using angr to solve CTF challenges.
- API Reference
- awesome-angr repo