physpatch

Crates.iophyspatch
lib.rsphyspatch
version0.2.1
sourcesrc
created_at2023-04-30 22:50:15.675913
updated_at2024-11-10 11:47:30.856368
descriptionPhysPatch performs physical memory scans and patches of the entire Windows kernel
homepagehttps://github.com/sonodima/physpatch
repositoryhttps://github.com/sonodima/physpatch
max_upload_size
id853053
size77,474
Tom (sonodima)

documentation

README

PhysPatch 🩹


PhysPatch performs physical memory scans and patches of the entire Windows kernel.

Usage

Scan for "488b??????????48" in the virtual machine named "TargetVM" and write "488b0000" to all matches:

physpatch -t "TargetVM" -p "488b0000" -- "488b??????????48"

Scan for "488b?????48" in the first virtual machine found, without performing any patching:

physpatch -- "488b?????48"

See physpatch --help for all the available arguments and their descriptions.

Installation

🦀 Cargo

Using Cargo is the easiest way to get started with PhysPatch:

cargo install physpatch
sudo setcap "CAP_SYS_PTRACE=ep" $(which physpatch)

You can now launch the program with the physpatch command.

🔩 From Source

git clone https://github.com/sonodima/physpatch && cd physpatch

cargo build --release
sudo setcap "CAP_SYS_PTRACE=ep" target/release/physpatch

The compiled binary is located in target/release/physpatch

Requirements

⚠️ THIS TOOL ONLY SUPPORTS X86_64 GUEST SYSTEMS

CAP_SYS_PTRACE is required to use this program without elevation:

sudo setcap "CAP_SYS_PTRACE=ep" physpatch

For more information, refer to the documentation for memflow_qemu

Disclaimer

PhysPatch is an extremely powerful tool, and incorrect usage can (will) lead to unintended consequences, including system crashes and data corruption.

Before using PhysPatch, ensure you fully understand its implications and effects. Proper knowledge of the memory structures and patterns you are searching for is essential.

Those associated with PhysPatch will not be held accountable for any damages, data losses, or system corruptions that arise from the usage of this tool.

Notable Mentions

This project is heavily inspired by Hygieia, which is a scanning tool to find traces of vulnerable drivers.

Commit count: 15

cargo fmt