Hash Extractor & Rainbow-Table Decoder · Hacking Project

Demonstrate hash identification and cracking techniques to quantify the risk of weak password storage.

**The problem**
Credential hashes are routinely exposed through database leaks, memory dumps, and misconfigured stores, and weak hashing (unsalted MD5/SHA1) collapses under precomputation and cracking. Security teams must understand hash formats, cracking economics, and rainbow-table tradeoffs to justify modern KDFs and salting. Lacking this, organizations misjudge the true risk of a hash exposure.

**What you'll build**
Build a tool that identifies hash types, extracts hashes from provided artifacts, and demonstrates cracking via dictionary, rule-based, and rainbow-table lookup approaches against intentionally weak hashes in a lab. Contrast weak hashes with salted, memory-hard KDFs (bcrypt, Argon2) to show why precomputation fails, producing an evidence-based hardening recommendation. All targets are synthetic lab data.

**Objective** — Demonstrate hash identification and cracking techniques to quantify the risk of weak password storage.

**Expected outcome** — A hash-analysis/cracking toolkit plus a comparative report justifying salted memory-hard KDF adoption.

**Difficulty** — Intermediate — requires cryptography fundamentals and cracking tooling, but is bounded and well-supported.

**Primary category** — Penetration Testing; Secondary = Applied Cryptography, Password Security

**Security domains** — Primary = Red Team; Secondary = Security Research, Blue Team, Digital Forensics, GRC

**Technical focus** — Hash identification, Dictionary attacks, Rule-based cracking, Rainbow tables/precomputation, Salting analysis, KDF comparison (bcrypt/scrypt/Argon2), Hash extraction/parsing

**Core technologies** — Languages: Python, C (perf-critical paths); Frameworks/Libraries: hashlib, passlib, argon2-cffi, bcrypt; Security Tools: Hashcat, John the Ripper, hashID/hash-identifier, RainbowCrack (reference); Cloud/Infra: optional GPU instance for cracking demos; AI/Data: password-frequency corpora; Databases: SQLite for cracked-result tracking

**Where it's valued** — Penetration-testing firms, DFIR teams, identity security, compliance/audit, security research

**Careers it builds toward** — Penetration Tester, Security Researcher, DFIR Analyst, IAM/Cryptography Engineer

**Framework alignment**
• MITRE ATT&CK: Credential Access — Brute Force: Password Cracking (T1110.002), OS Credential Dumping (T1003) as the upstream extraction context
• NIST CSF 2.0: Protect (PR.DS — data-at-rest protection, PR.AA), Identify (ID.RA)
• OWASP: Web — Cryptographic Failures (A02:2021); ASVS credential-storage requirements
• CIS Controls v8: 3 (Data Protection), 5 (Account Management), 16 (Application Software Security)

**Innovation** — Existing Idea — established techniques and tools; the differentiator is the rigorous weak-vs-strong KDF comparison for decision-making. Scores: Innovation 4/10, Startup 3/10, Enterprise-Readiness 5/10, Patent = No.