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%global _empty_manifest_terminate_build 0
Name: python-angr
Version: 9.2.39
Release: 1
Summary: A multi-architecture binary analysis toolkit, with the ability to perform dynamic symbolic execution and various static analyses on binaries
License: BSD-2-Clause
URL: https://github.com/angr/angr
Source0: https://files.pythonhosted.org/packages/b0/49/6b56174c08c685b23554c2b1e21a75292f073abfff99e3880b68e1303782/angr-9.2.39.tar.gz
Requires: python3-CppHeaderParser
Requires: python3-GitPython
Requires: python3-ailment
Requires: python3-archinfo
Requires: python3-cachetools
Requires: python3-capstone
Requires: python3-cffi
Requires: python3-claripy
Requires: python3-cle
Requires: python3-dpkt
Requires: python3-itanium-demangler
Requires: python3-mulpyplexer
Requires: python3-nampa
Requires: python3-networkx
Requires: python3-progressbar2
Requires: python3-protobuf
Requires: python3-psutil
Requires: python3-pycparser
Requires: python3-pyvex
Requires: python3-rpyc
Requires: python3-sortedcontainers
Requires: python3-sympy
Requires: python3-unicorn
Requires: python3-colorama
Requires: python3-sqlalchemy
Requires: python3-pypcode
%description
[](https://pypi.python.org/pypi/angr/)
[](https://pypistats.org/packages/angr)
[](https://github.com/angr/angr/actions/workflows/.github/workflows/ci.yml/badge.svg)
[](https://github.com/angr/angr/blob/master/LICENSE)
[](https://docs.angr.io)
[](https://angr.io/api-doc)
[](https://github.com/psf/black)
[](https://github.com/pre-commit/pre-commit)
angr is a platform-agnostic binary analysis framework.
It is brought to you by [the Computer Security Lab at UC Santa Barbara](https://seclab.cs.ucsb.edu), [SEFCOM at Arizona State University](https://sefcom.asu.edu), their associated CTF team, [Shellphish](https://shellphish.net), the open source community, and **[@rhelmot](https://github.com/rhelmot)**.
# What?
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](https://docs.angr.io/docs/toplevel) 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.
```python
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](https://docs.angr.io/introductory-errata/install)
- Documentation as [HTML](https://docs.angr.io/) and as a [Github repository](https://github.com/angr/angr-doc)
- Dive right in: [top-level-accessible methods](https://docs.angr.io/core-concepts/toplevel)
- [Examples using angr to solve CTF challenges](https://docs.angr.io/examples).
- [API Reference](https://angr.io/api-doc/)
- [awesome-angr repo](https://github.com/degrigis/awesome-angr)
%package -n python3-angr
Summary: A multi-architecture binary analysis toolkit, with the ability to perform dynamic symbolic execution and various static analyses on binaries
Provides: python-angr
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-angr
[](https://pypi.python.org/pypi/angr/)
[](https://pypistats.org/packages/angr)
[](https://github.com/angr/angr/actions/workflows/.github/workflows/ci.yml/badge.svg)
[](https://github.com/angr/angr/blob/master/LICENSE)
[](https://docs.angr.io)
[](https://angr.io/api-doc)
[](https://github.com/psf/black)
[](https://github.com/pre-commit/pre-commit)
angr is a platform-agnostic binary analysis framework.
It is brought to you by [the Computer Security Lab at UC Santa Barbara](https://seclab.cs.ucsb.edu), [SEFCOM at Arizona State University](https://sefcom.asu.edu), their associated CTF team, [Shellphish](https://shellphish.net), the open source community, and **[@rhelmot](https://github.com/rhelmot)**.
# What?
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](https://docs.angr.io/docs/toplevel) 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.
```python
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](https://docs.angr.io/introductory-errata/install)
- Documentation as [HTML](https://docs.angr.io/) and as a [Github repository](https://github.com/angr/angr-doc)
- Dive right in: [top-level-accessible methods](https://docs.angr.io/core-concepts/toplevel)
- [Examples using angr to solve CTF challenges](https://docs.angr.io/examples).
- [API Reference](https://angr.io/api-doc/)
- [awesome-angr repo](https://github.com/degrigis/awesome-angr)
%package help
Summary: Development documents and examples for angr
Provides: python3-angr-doc
%description help
[](https://pypi.python.org/pypi/angr/)
[](https://pypistats.org/packages/angr)
[](https://github.com/angr/angr/actions/workflows/.github/workflows/ci.yml/badge.svg)
[](https://github.com/angr/angr/blob/master/LICENSE)
[](https://docs.angr.io)
[](https://angr.io/api-doc)
[](https://github.com/psf/black)
[](https://github.com/pre-commit/pre-commit)
angr is a platform-agnostic binary analysis framework.
It is brought to you by [the Computer Security Lab at UC Santa Barbara](https://seclab.cs.ucsb.edu), [SEFCOM at Arizona State University](https://sefcom.asu.edu), their associated CTF team, [Shellphish](https://shellphish.net), the open source community, and **[@rhelmot](https://github.com/rhelmot)**.
# What?
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](https://docs.angr.io/docs/toplevel) 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.
```python
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](https://docs.angr.io/introductory-errata/install)
- Documentation as [HTML](https://docs.angr.io/) and as a [Github repository](https://github.com/angr/angr-doc)
- Dive right in: [top-level-accessible methods](https://docs.angr.io/core-concepts/toplevel)
- [Examples using angr to solve CTF challenges](https://docs.angr.io/examples).
- [API Reference](https://angr.io/api-doc/)
- [awesome-angr repo](https://github.com/degrigis/awesome-angr)
%prep
%autosetup -n angr-9.2.39
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-angr -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Feb 24 2023 Python_Bot <Python_Bot@openeuler.org> - 9.2.39-1
- Package Spec generated
|
