v0.7.2 - Secrets Worker Fix

🐛 Critical Fix

Secrets Worker Missing from Repository

• Fixed missing secrets worker - was being ignored by broad gitignore pattern
• Added gitignore exception for workers/secrets/ directory
• Secrets worker now properly tracked in repository:
  • workers/secrets/Dockerfile
  • workers/secrets/requirements.txt
  • workers/secrets/worker.py

This release adds the missing secrets detection worker that should have been included in v0.7.1.

Included from v0.7.1

All improvements from v0.7.1 are included:

Worker Naming Fixes

• Fixed worker container naming mismatch between CLI and docker-compose
• Backend now correctly uses service names (worker-python, worker-secrets, etc.)

Monitor Command Consolidation

• Unified monitor live command with --once and --style flags

Findings CLI Improvements (Closes #18)

• Moved show command to finding (singular) for better UX
• Kept export in findings (plural) for exporting all findings
• Removed broken analyze command

📊 Changes

• 10 files changed from v0.7.0: 672 insertions(+), 204 deletions(-)
• Secrets worker fix: 4 files, 389 insertions

Full Changelog: v0.7.0...v0.7.2

FuzzForge v0.7.0 - Temporal Orchestration & AI-Powered Security

Major Release: Complete migration from Prefect to Temporal with vertical workers architecture.

🚀 Key Features:

• Temporal workflow orchestration with persistent execution
• Vertical worker architecture (Python, Rust, Secrets, OSS-Fuzz, Android)
• MinIO-based target storage with automatic upload
• On-demand worker startup (saves 5-7GB RAM)
• Real-time workflow monitoring via Temporal UI

🤖 AI-Powered Analysis:

• LLM secret detection: 84.4% recall (gpt-5-mini)
• AI code analysis workflow (llm_analysis)
• Semantic secret discovery with context awareness

✅ Production Workflows:

• security_assessment: Regex-based security analysis
• gitleaks_detection: Pattern-based secret scanning
• trufflehog_detection: Secret detection with verification
• llm_secret_detection: AI-powered secret detection

🔧 Development Workflows:

• atheris_fuzzing: Python fuzzing (early development)
• cargo_fuzzing: Rust fuzzing (early development)
• ossfuzz_campaign: OSS-Fuzz integration (heavy development)

📦 Infrastructure:

• Docker Compose orchestration
• PostgreSQL for Temporal state
• MinIO S3-compatible storage
• Vertical workers with pre-installed toolchains
• SARIF-compliant result format

📚 Documentation:

• Complete documentation overhaul for Temporal architecture
• Worker startup instructions for new users
• Updated workflow references and examples
• Environment configuration guide