pyelftools | Parsing ELF and DWARF in Python

by eliben Python Version: 0.31 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | pyelftools Summary

pyelftools is a Python library. pyelftools has no bugs, it has no vulnerabilities, it has build file available and it has high support. However pyelftools has a Non-SPDX License. You can install using 'pip install pyelftools' or download it from GitHub, PyPI.

Parsing ELF and DWARF in Python

Support

Quality

Security

License

Reuse

Support

pyelftools has a highly active ecosystem.

It has 1674 star(s) with 479 fork(s). There are 71 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 66 open issues and 148 have been closed. On average issues are closed in 207 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of pyelftools is 0.31

Quality

pyelftools has 0 bugs and 0 code smells.

Security

pyelftools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyelftools code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyelftools has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyelftools releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyelftools saves you 5814 person hours of effort in developing the same functionality from scratch.

It has 12660 lines of code, 973 functions and 110 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyelftools and discovered the below as its top functions. This is intended to give you an instant insight into pyelftools implemented functionality, and help decide if they suit your requirements.

Display the version information
Iterate over all sections
Describe the version flags
Return the section at the given index n
Yield Location - like objects
Get the DIE from the attribute name
Iterate over the children of a die
Return an iterator over the DIE tree
Return a list of all entries in the binary
Display the contents of a section specification
Display a string representation of a section
Display dynamic tags
Display the file header
Display section headers
Parse a DIE
Greedy range
Describe locations
Dump all range lists
Dump the debug info
Display unwind section
Return the data of this section
Creates a PascalCase field
Process an ELF file
Display the available symbols
Display the relocations section
Display the program headers

Get all kandi verified functions for this library.

pyelftools Key Features

No Key Features are available at this moment for pyelftools.

pyelftools Examples and Code Snippets

default

Python

Lines of Code : 33

License : No License

Copy

apt-get install python-pyelftools python-jinja2
git clone https://github.com/kroemeke/bcc_dwarf_poc.git /tmp/minimal
cd /tmp/minimal
gcc -g3 -o minimal minimal.c

marek@node:/tmp/minimal$ ./minimal
0
1
2
3
4
5
6

marek@node:/tmp/minimal$ sudo python

QEMU Development Toolkit,Getting started,Environment preparation

Python

Lines of Code : 19

License : Non-SPDX (NOASSERTION)

Copy

sudo apt install python-tk python3-tk

sudo apt install idle-python2.7 idle-python3.4

sudo apt install python-pip python3-pip

sudo python -m pip install --upgrade gitpython six graphviz \
  path.py construct serial psutil

sudo pip install --upgrad

PULP-SDK,Getting started

Lines of Code : 6

License : Permissive (Apache-2.0)

Copy

sudo apt-get install -y build-essential git libftdi-dev libftdi1 doxygen python3-pip libsdl2-dev curl cmake libusb-1.0-0-dev scons gtkwave libsndfile1-dev rsync autoconf automake texinfo libtool pkg-config libsdl2-ttf-dev

pip install --user argcompl

Community Discussions

Trending Discussions on pyelftools

Fail to build Yocto extensible SDK

Change DWARF elf format in IAR ARM V8 compiler

How do I dump the contents of an ELF file at a specific address?

Efficient way to parse DWARF

Grabbing program header information with pyelftools

QUESTION

Fail to build Yocto extensible SDK

Asked 2022-Jan-02 at 13:11

I'm new to Yocto and I've been trying to setup for developing with devtool.

I've followed the instructions from from the Yocto Linux Kernel Development Manual, but I've made a change to Step #2, setting MACHINE = stm32mp1 since I'm targeting the STM32MP157D-DK1. However, Step #5 fails, where it asks you to build the SDK using the command bitbake core-image-minimal -c populate_sdk_ext with the following error:

...

ANSWER

Answered 2022-Jan-02 at 13:11

I've fixed the build issue. It required adding meta-python2 as I did; but instead of IMAGE_INSTALL_append = " python-dev", TOOLCHAIN_HOST_TASK_append = " nativesdk-python-core" is needed instead in local.conf.

Source https://stackoverflow.com/questions/70554998

QUESTION

Change DWARF elf format in IAR ARM V8 compiler

Asked 2021-Mar-01 at 10:32

In our development, we switched from IAR ARM V7.40 to IAR ARM V8.40

We are using the python package pyelftools for postprocessing of the debug information. Unfortunately, this seems to be broken now, as the V8-compiler seems to use DWARF4 syntax, which is not fully covered by pyelftools. The V7-compiler used DWARF3 which was fine.

Is there any compiler option for IAR V8 to change DWARF format? In the IAR C/C++ Development Guide, I only find the --debug, -r option to enable debug information, but no further fine tunings (e.g. like -gdwarf-3 option for the arm-clang compiler).

...

ANSWER

Answered 2021-Mar-01 at 10:32

There is a hidden compiler option --no_dwarf4 which disables DWARF4. This works fine for our problem.

Unfortunately, this compiler option is neither documented in the IAR C/C++ Development Guide nor listed in the command line help ($ iccarm --help) for the compiler.

Source https://stackoverflow.com/questions/66419060

QUESTION

How do I dump the contents of an ELF file at a specific address?

Asked 2020-Nov-10 at 20:49

Using GDB, if I load an ELF image and give it an address, I can get GDB to dump the contents of the ELF file at that address. For example:

...

ANSWER

Answered 2020-Nov-10 at 20:49

I just want a dump of 20 bytes at location 0x06f8f5b0.

Your question only makes sense in the context of position-dependent (i.e. ET_EXEC) binary (any other binary can be loaded at arbitrary address).

For a position-dependent binary, the answer is pretty easy:

iterate over program headers until you find one which "covers" desired address,
from .p_vaddr and .p_offset compute the offset in the file
use lseek and read to read the bytes of interest.

To make this more concrete, here is an example:

Source https://stackoverflow.com/questions/64760653

QUESTION

Efficient way to parse DWARF

Asked 2020-Oct-08 at 05:52

I try to build a debugger which allows me to set breakpoints at functions or codelines. The needed debug information should be extracted from the DWARF section from an elf file. I am able to extract these data. The project I want to debug has 50-100 files, so I need about 10 min to parse the elf with readelf or pyelftools for all the dwarf infos I need. To increase speed, my next approach was to only parse for the debug infos of the currently opend source file. But it also takes a few minutes using pyelftools.

How do debuggers get the informations so fast? I use an iSystem debugger with winIDEA and it takes about 20sec. to flash the elf and afterwards I am instantly able to set breakpoints in any source file.

I am new to the topic so any help is appreciated.

EDIT: This is how I use pyelftools to get function addresses from one file

...

ANSWER

Answered 2020-Oct-08 at 02:25

How do debuggers get the informations so fast?

By reading only the info they need (DWARF format is structured such that you can efficiently skip over translation units and functions you are not interested in), and by doing it in C.

I need about 10 min to parse the elf with readelf or pyelftools

That is likely significant part of your problem: parsing readelf output is probably 100 to 1000 times less efficient than reading the info directly.

pyelftools does appear to provide an API to iterate over compilation units, and in theory should be able to provide efficient access.

You didn't show how you are using it, you may not be doing that efficiently.

Even then, pyelftools is implemented in pure Python, so likely is at least 10 times slower than something like libdwarf.

Source https://stackoverflow.com/questions/64238017

QUESTION

Grabbing program header information with pyelftools

Asked 2020-Aug-16 at 15:27

I am simply trying to grab the program header information with pyelftools (the offset, virtual address, and physical address).

This can be done from the terminal by running:

readelf -l

But I am having trouble getting the same information from pyelftools. From the examples, I have pieced together this:

...

ANSWER

Answered 2020-Aug-16 at 15:27

Some strange things in your post happen.

You say:

I am simply trying to grab the program header information with pyelftools (the offset, virtual address, and physical address).

Note: Elf_Shdr is the program header file.

But Elf_Shdr is not Program header, it is Section header. Look at elftools/elf/structs.py

Source https://stackoverflow.com/questions/63417042

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyelftools

You can install using 'pip install pyelftools' or download it from GitHub, PyPI.
You can use pyelftools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: