This paper presents a source-recovery pipeline for stripped binary functions that combines Ghidra-based reverse engineering, anchor extraction, inverted-index retrieval, and LLM reranking. Anchors include strings, constants, external calls, and available function names. The system retrieves candidate files and narrows them to likely function snippets, then uses an LLM to compare disassembly, decompiled code, and source metadata. On a high-fidelity database evaluated with an optimized, stripped tcpdump binary, it achieved 95.2% assembly-instruction coverage. A GitHub-derived database averaged 35.5%, primarily because of retrieval misses.
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