pelfy 1.0.5

Parser for ELF files written in python

pelfy

Description

Pelfy (Python Executable and Linkable Format analyzer) is an ELF parser written in python. It shows header fields, sections, symbols and relocation and gives access to all raw data as well as human readable representations.

Key Features

• Provide names for fields and values as well as descriptions
• Relocation types for x86, MIPS, ARM and RISC-V all in 32 and 64 bit
• Outputs tables in nicely formatted HTML, markdown or text
• Uses HTML outputs for Jupyter Notebook integration
• Compact code base
• Pure fully static typed python and no other dependencies

Usage Scenarios

• Reverse engineering tools
• Testing
• Documentation

Installation

The package has no additional dependencies. It can be installed with pip:

pip install pelfy

Usage

Example code and its outputs:

import pelfy

elf = pelfy.open_elf_file('tests/obj/test-c-riscv64-linux-gnu-gcc-12-O3.o')
elf.sections

index	name	type	description
0		SHT_NULL	Section header table entry unused
1	.text	SHT_PROGBITS	Program data
2	.rela.text	SHT_RELA	Relocation entries with addends
3	.data	SHT_PROGBITS	Program data
4	.bss	SHT_NOBITS	Program space with no data (bss)
5	.comment	SHT_PROGBITS	Program data
6	.note.GNU-stack	SHT_PROGBITS	Program data
7	.riscv.attributes	0x70000003	Application-specific
8	.symtab	SHT_SYMTAB	Symbol table
9	.strtab	SHT_STRTAB	String table
10	.shstrtab	SHT_STRTAB	String table

elf.functions

index	name	info	size	stb	description
11	result_float	STT_FUNC	8	STB_GLOBAL	Symbol is a code object
12	result_float_float	STT_FUNC	12	STB_GLOBAL	Symbol is a code object
13	add_float_float	STT_FUNC	12	STB_GLOBAL	Symbol is a code object
14	mul_float_float	STT_FUNC	12	STB_GLOBAL	Symbol is a code object
15	read_float	STT_FUNC	16	STB_GLOBAL	Symbol is a code object

elf.symbols['read_float'].relocations

index	symbol name	type	calculation
4	.LANCHOR0	R_RISCV_PCREL_HI20	S + A - P
5		R_RISCV_RELAX
6	.L0	R_RISCV_PCREL_LO12_I	S - P
7		R_RISCV_RELAX
8	result_float_float	R_RISCV_CALL_PLT	S + A - P
9		R_RISCV_RELAX

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

Developer Guide

To get started with developing the pelfy package, follow these steps:

First, clone the repository to your local machine using Git:

git clone https://github.com/Nonannet/pelfy.git
cd pelfy

Install the package while keeping files in the current dev directory:

pip install -e .

Install pytest (unit testing), mypy (type checking) and flake8 (style guide checking):

pip install pytest mypy flake8

Ensure that everything is set up correctly by running the tests:

pytest

For creating additional test object files place the source c-files in the tests/src/ directory, change the current directory to tests/src/ and run bash run_cross_compilation.sh. This script uses a docker container to cross compile all c-files to object files and outputs them in the tests/obj directory.

License

This project is licensed under the MIT License - see the LICENSE file for details.