shipsafe 1.0.1

Deterministic security scanner for AI-generated codebases. No AI at runtime. No network calls. Your code stays local.

ShipSafe

Catch security vulnerabilities in AI-generated code before they catch you.

ShipSafe is a deterministic security scanner. It uses regex pattern matching - no AI, no LLM calls, no cloud services. Your code is analyzed locally and never transmitted anywhere.

---

Trust Contract

Before you install, here's what ShipSafe guarantees - and how to verify each claim yourself:

Guarantee	How to verify
Your code never leaves your machine	grep -rn --exclude serve.py "import socket|import urllib|import requests" src/shipsafe/ → zero results (serve.py is the local UI server — no outbound calls, see TRUST.md)
No telemetry, no analytics, no tracking	Same check. No network modules = nowhere to send data
Every detection rule is a readable regex pattern	grep -A5 "patterns = \[" src/shipsafe/rules/*.py
Same input always produces same output	Run python -m shipsafe scan . --format json twice, diff the output
This tool passes its own scan	Check the Self-Scan CI badge above
This tool was written with AI assistance	We document exactly how. See TRANSPARENCY.md

Full verification guide: TRUST.md

---

Who This Is For

• Vibe coders - You built something with Cursor, Lovable, Replit, or Claude Code and want to know if it's safe to deploy. ShipSafe gives you a plain-language report with copy-paste fixes.
• Developers - You want CI/CD-integrated security scanning that runs on every push, produces SARIF output, and costs nothing. ShipSafe is a single install with zero dependencies.
• Security officers - You need OWASP-mapped findings, severity scores, and compliance-ready reports. ShipSafe produces scored HTML and JSON reports with transparent methodology.

---

Quickstart

Installation

pip install shipsafe

Scan

# Scan your project
python -m shipsafe scan .

# Scan with a specific profile
python -m shipsafe scan . --profile hobby       # Personal projects (CRITICAL + HIGH only)
python -m shipsafe scan . --profile saas        # SaaS apps (full scan, default)
python -m shipsafe scan . --profile enterprise  # Stricter privacy and supply-chain rules

No API keys. No cloud account. No configuration files.

Launch the Visual UI

# Launch the interactive web dashboard (opens your browser automatically)
python -m shipsafe ui

Drop a folder path into the dashboard, hit Scan, and get a fully scored report — CRITICAL findings first, copy-paste fixes included. This is the recommended starting point for vibe coders.

---

What It Checks

ShipSafe detects 77 vulnerability patterns across 11 categories:

Secrets & Credentials

Rule	What it catches
SEC001–SEC018	Hardcoded API keys (OpenAI, AWS, Stripe, GitHub, Supabase, and 12 more)
AUTH001–AUTH006	Hardcoded passwords, weak JWT secrets, insecure sessions, disabled CSRF
GIT002–GIT006	Missing .gitignore entries, .env files in repo

Injection & Input Handling

Rule	What it catches
INJ001–INJ007	SQL injection, NoSQL injection, command injection, path traversal, XSS, template injection, unsafe YAML
CRY007–CRY009	Dangerous functions (eval(), exec(), pickle.loads())

Configuration & Deployment

Rule	What it catches
CFG001–CFG005	Debug mode, CORS wildcards, verbose errors
DEP001–DEP006	Dockerfile root, exposed debug routes, build secrets, 0.0.0.0 binding

Cryptography & Data

Rule	What it catches
CRY001–CRY006	TLS verification disabled, weak hashing (MD5/SHA1), Math.random()
DAT001–DAT004	Credentials in logs, verbose error responses

AI-Specific

Rule	What it catches
AI001–AI007	Prompt injection, unbounded cost, system prompt leakage, unpinned models, unsanitized model output

Dependencies & Supply Chain

Rule	What it catches
DEP101–DEP105	Extra index URLs, unpinned deps, wildcard specifiers, typosquatted packages

Privacy

Rule	What it catches
PRI001–PRI005	PII in logs, hardcoded SSN/email, PHI in logs, unencrypted PII storage

Every finding includes a concrete, copy-paste fix and a link to an educational guide.

---

Measured Accuracy

Tested against four OWASP benchmark applications:

Benchmark	Precision	Recall	FPR	Details
OWASP PyGoat (Django)	96.6%	90% (9/10 vuln classes)	3.4%	87 findings, 263 files
VAmPI (Flask API)	100%	100% (regex-detectable)	0%	10 findings, 22 files
OWASP Juice Shop (Node.js)	N/A	13 rules fire	0%	193 findings, 1032 files
Self-scan	N/A	N/A	N/A	100/100, 0 findings

ShipSafe is regex-only. It cannot detect runtime vulnerabilities, business logic flaws, or authorization bugs. Full methodology and reproduction steps: ACCURACY.md

---

Understanding Your Score

Score: 65/100  [Fix HIGH items before deploying]

  Score breakdown:
    CRITICAL  1 x -25 = -25  (cap -75)
    HIGH      1 x -10 = -10  (cap -40)
    MEDIUM    0 findings
    LOW       0 findings

Score	Meaning
90–100	Ready to deploy
70–89	Fix HIGH items before deploying
40–69	Significant security issues. Do not deploy to production.
0–39	Critical vulnerabilities. Stop and fix before shipping.

The scoring algorithm is fully transparent - see scoring.py.

---

Scan Profiles

Profile	Use when	What it shows
hobby	Personal projects, learning, prototypes	CRITICAL + HIGH only
saas	Apps with users, deployed to production	All severities (default)
enterprise	Regulated industries, strict compliance	All severities + escalated privacy/supply-chain rules

---

Output Formats

python -m shipsafe scan . --format terminal   # Colored terminal output (default)
python -m shipsafe scan . --format json       # Machine-readable JSON
python -m shipsafe scan . --format sarif      # SARIF 2.1.0 (GitHub Security tab)
python -m shipsafe scan . --format html       # Single-file HTML report
python -m shipsafe scan . --format html -o report.html  # Save to file

---

How ShipSafe Compares to AI-Powered Code Review

ShipSafe is not a replacement for AI-powered code review tools (like Claude Code's /security-review). It is a deterministic safety net.

	AI Code Review	ShipSafe
Engine	LLM (sends code to cloud)	Local regex (code stays on your machine)
Cost	Per-token API charges	Free, forever
Scope	Current diff only	Entire codebase
Determinism	Different result each time	Same input = identical output
CI/CD	Impractical	Native (GitHub Action, pre-commit, SARIF)

Use ShipSafe in your CI pipeline to catch known patterns on every push. Use AI review tools for nuanced, context-dependent analysis. ShipSafe catches the 80% of vulnerabilities that follow known patterns - the hardcoded keys, the missing .gitignore, the verify=False - before they ever reach a reviewer.

---

Guides

• Before You Deploy - 5-minute pre-deployment checklist
• Secrets Management - Environment variables, rotation, what to do after exposure
• Authentication - Password handling, JWT, session security
• Authorization - BOLA, RBAC, row-level security
• Input Validation - SQL injection, XSS, command injection prevention
• API Security - Rate limiting, CORS, header hardening
• Deployment Hardening - Dockerfiles, debug routes, binding
• Dependency Safety - Supply chain, pinning, typosquatting
• Git Hygiene - .gitignore, cleaning git history, secret rotation
• AI Security - Prompt injection, model output sanitization
• Privacy - PII handling, logging, encryption

---

FAQ

Is my code uploaded anywhere? No. ShipSafe runs entirely locally. It makes zero network calls. This is verified by CI on every commit.

Do I need an API key? No. ShipSafe has zero external dependencies and requires no configuration.

Does it work with my framework? ShipSafe scans source files regardless of framework. Detection rules cover Python, JavaScript, TypeScript, and configuration files (JSON, YAML, TOML, .env).

How is this different from Snyk / SonarQube / Semgrep? ShipSafe is designed for people who have never used a security scanner before. It requires no configuration, produces plain-language output with copy-paste fixes, and runs with zero dependencies. It is also fully offline and free.

This was written with AI. Why should I trust it? Because the detection engine is deterministic regex patterns - not AI. Every rule is readable, testable, and auditable. The tool passes its own scan. See TRANSPARENCY.md for the full story.

---

CI/CD Integration

GitHub Action

- uses: psykris/shipsafe@v1.0.0
  with:
    path: ./src
    profile: enterprise
    format: sarif
    output: security-report.sarif
    fail-on: critical,high

Pre-commit Hook

repos:
  - repo: local
    hooks:
      - id: shipsafe
        name: shipsafe
        entry: shipsafe scan . --fail-on critical,high
        language: python
        pass_filenames: false

---

License

MIT