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malrev/ABD resource

Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories observed · 2026-08-28

github.com/malrev/ABD · Jupyter Notebook · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2395
  • days_rel: n/a
  • days_push: 2118
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1167 stars · 174 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Course materials for Advanced Binary Deobfuscation taught by NTT Secure Platform Laboratories at GCC Tokyo 2020. It covers obfuscation principles, data-flow analysis, and SAT/SMT-based binary analysis with hands-on Jupyter Notebook exercises using Miasm and Z3.

Use cases

  • learn binary deobfuscation techniques
  • study symbolic execution for reverse engineering
  • analyze obfuscated malware
  • build custom binary analysis tools
  • practice data-flow analysis on binaries
  • learn to use Miasm and Z3 for deobfuscation

When to choose

  • you are a security analyst wanting to deobfuscate binaries
  • you want structured hands-on training in obfuscated code analysis
  • you need to analyze obfuscated malware from APT campaigns

When to avoid

  • you lack x86/x64 assembly and low-level CS fundamentals
  • you need a production deobfuscation tool rather than learning materials
  • you want actively updated course content

Facets

learning-resource · maturity maintenance

reverse-engineering security developer-tools security reverse-engineering education tutorials python cross-platform deobfuscation binary-analysis malware-analysis symbolic-execution course-materials jupyter-notebook miasm z3 linux

1 source

Member repositories

RepositoryRoleHealth v2
malrev/ABDmain32

For agents

markdown · JSON · MCP: product_card(name="malrev/ABD")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem