{"categories":[{"label":"Security","url":"https://skillfed.io/packages/category/security/2"},{"label":"Disassemblers","url":"https://skillfed.io/packages/category/software-development-disassemblers"}],"enrichment":{"capability":"SMDA is a recursive disassembler library that recovers control flow graphs from binary files and memory dumps, supporting x86/x64, AArch64, .NET CIL, and Dalvik bytecode with output as functions, basic blocks, and instruction-level edges.","skillfed_tags":["binary-analysis","reverse-engineering","malware-analysis"],"use_cases":["Analyze malware samples to extract function boundaries and control flow for behavioral analysis or signature generation.","Process memory dumps from running processes to recover function structure without relying on debug symbols.","Batch-process a corpus of binaries in parallel to extract CFGs for machine learning or statistical analysis.","Augment IDA Pro's conservative function detection by running SMDA's independent analysis and importing missing function starts back into IDA.","Extract Windows API call patterns from PE binaries by using the ApiScout method to infer API references.","Analyze Dalvik bytecode from raw DEX files to understand Android application control flow."],"what_it_does":"SMDA is a Python library for analyzing compiled binaries and memory dumps by recovering their control flow structure. It reads PE, ELF, Mach-O, and raw memory files, then disassembles them using Capstone (for x86/x64 and ARM64) or specialized backends (for .NET CIL and Dalvik), producing a structured report of functions, basic blocks, instructions, and the edges between them. The library is optimized for accurate CFG recovery rather than speed, making it useful for malware analysis, reverse engineering, and binary instrumentation workflows.\n\nThe package includes both a single-file API and a batch processor for analyzing corpora in parallel. It can optionally infer Windows API references, integrate with IDA Pro to augment existing analysis, and export results as JSON or reconstruct binaries from recovered CFGs. Memory usage is dominated by the largest file in flight rather than accumulating across files, and performance can be tuned by disabling optional metadata calculations (hashing, nesting depth, strongly connected components) that downstream consumers may not need.","worth_installing":"Yes. SMDA is actively maintained, has no known vulnerabilities, uses a permissive license, and offers a well-designed API for CFG recovery across multiple architectures and file formats. Install it if you need to extract control flow structure from binaries or memory dumps; avoid it if you only need basic disassembly without CFG analysis or if you require Python versions below 3.11."},"id":"smda","links":{"html":"https://skillfed.io/packages/smda","md":"https://skillfed.io/packages/smda.md","pypi":"https://pypi.org/project/smda/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"smda","python_support":"supports_current","summary":"A recursive disassmbler optimized for CFG recovery from memory dumps. Based on capstone."},"popularity":{"monthly_downloads":173554,"position":10304,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.4.7"}