The decompiler API that works everywhere!

LibBS is an abstracted decompiler API that enables you to write plugins/scripts that work, with minimal edit, in every decompiler supported by LibBS. LibBS was originally designed to work with BinSync, and is the backbone for all BinSync based plugins.

pip install libbs

The minimum Python version is 3.8. If you plan on using libbs alone (without installing some other plugin), you must do libbs --install after pip install. This will copy the appropriate files to your decompiler.

LibBS exposes all decompiler API through the abstract class DecompilerInterface. The DecompilerInterface can be used in either the default mode, which assumes a GUI, or headless mode. In headless mode, the interface will start a new process using a specified decompiler.

You can find various examples using LibBS in the examples folder. Examples that are plugins show off more of the complicated API that allows you to use an abstracted UI, artifacts, and more.

To use the same script everywhere, use the convenience function DecompilerInterface.discover_interface(), which will auto find the correct interface. Copy the below code into any supported decompiler and it should run without edit.

from libbs.api import DecompilerInterface

deci = DecompilerInterface.discover()
for addr in deci.functions:
    function = deci.functions[addr]
    if function.header.type == "void":
        function.header.type = "int"

    deci.functions[function.addr] = function

To use headless mode you must specify a decompiler to use. You can get the traditional interface using the following:

from libbs.api import DecompilerInterface

deci = DecompilerInterface.discover(force_decompiler="ida", headless=True)

In the case of decompilers that don't have a native python library for working with, like Ghidra and IDA, you will to tell libbs where the headless binary path exists. This can be passed through either headless_dec_path flag, or through your environment. For Ghidra this would be: GHIDRA_HEADLESS_PATH.

In designing the dictionaries that contain all Artifacts in a decompiler, we had a clash between ease-of-use and speed. When accessing some artifacts like a Function, we must decompile the function. Decompiling is slow. Due to this issue we slightly changed how these dictionaries work to fast accessing.

The only way to access a full artifact is to use the getitem interface of a dictionary. In practice this looks like the following:

for func_addr, light_func in deci.functions.items():
    full_function = deci.function[func_addr]

Notice, when using the items function the function is light, meaning it does not contain stack vars and other info. This also means using keys, values, or list on an artifact dictionary will have the same affect.

All artifacts are serializable to the TOML and JSON formats. Serialization is done like so:

from libbs.artifacts import Function
import json

my_func = Function(name="my_func", addr=0x4000, size=0x10)
json_str = my_func.dumps(fmt="json")
loaded_dict = json.loads(json_str) # now loadable through normal JSON parsing
loaded_func = Function.loads(json_str, fmt="json")