decompiled-code-extractor

You can extract decompiled function data by locating the target module database and running Python scripts to pull complete FunctionRecords, including C++ code, assembly, and xrefs. This provides foundational data access for lifting workflows.

To list and filter functions in a module DB, use dedicated Python scripts to query the SQLite databases and identify specific function-level data. This indexing step isolates target functions before extracting their complete decompiled records.

Yes, you can extract assembly and string literals together by pulling complete FunctionRecord data. The extraction process aggregates decompiled C++, signatures, xrefs, vtable contexts, and stack frames into a single output for analysis.

Yes, the extraction process works with SQLite DBs by accessing module analysis databases generated from DeepExtractIDA. It locates these databases and extracts function-level data to support downstream lifting and analysis tasks.

The extraction focuses on providing raw function-level data like xrefs and vtable contexts rather than composing the call graphs itself. It serves as the data-access layer, requiring downstream skills to perform the actual graph composition and code classification.