Code Scanner

ai-blackteam includes a static analysis scanner that finds LLM-specific security vulnerabilities in Python and JavaScript/TypeScript code. It catches the things traditional linters miss — prompt injection vectors, secrets in prompts, unsafe output handling, and excessive agency.

Quick Start

# Scan current directory
ai-blackteam scan .

# Scan a specific file
ai-blackteam scan app.py

# JSON output for CI pipelines
ai-blackteam scan src/ --format json -o findings.json

# Filter by severity
ai-blackteam scan . --severity critical

What It Detects

The scanner ships with 11 rule categories, each mapped to OWASP LLM Top 10:

Rule ID	Name	Severity	OWASP	What It Catches
BTSC-001	Prompt Injection: User Input in System Prompt	Critical	LLM01	f-strings, .format(), concatenation in system role messages
BTSC-002	Secrets in Prompt Templates	High	LLM02	API keys, env vars, passwords embedded in prompts
BTSC-003	LLM Output Run as Code	Critical	LLM05	Dangerous code paths with LLM response variables
BTSC-004	LLM Output Rendered as HTML (XSS)	High	LLM05	innerHTML, dangerouslySetInnerHTML, v-html with LLM output
BTSC-005	LLM Output in SQL Query	Critical	LLM05	Unparameterized SQL with LLM response variables
BTSC-006	Excessive Agency: Unrestricted Shell Access	Critical	LLM06	@tool decorator with subprocess shell=True, os.system
BTSC-007	Excessive Agency: Unrestricted File Access	High	LLM06	@tool decorator with open() on arbitrary paths
BTSC-008	Missing max_tokens Limit	Medium	LLM10	LLM API calls without max_tokens set
BTSC-009	Hardcoded System Prompt with Sensitive Content	Medium	LLM07	Long system prompts with business logic, URLs, secrets
BTSC-010	No Input Validation Before LLM Call	Medium	LLM01	HTTP request body flows directly to LLM API
BTSC-011	RAG Retrieval Without Access Control	High	LLM08	Vector DB query without user-level filtering

Output Formats

Table (default)

ai-blackteam scan src/

Prints a Rich-formatted table with file path, line number, rule ID, severity, and message.

JSON

ai-blackteam scan src/ --format json -o scan-results.json

Returns an array of finding objects:

[
  {
    "file": "src/app.py",
    "line": 42,
    "rule_id": "BTSC-001",
    "rule_name": "Prompt Injection: User Input in System Prompt",
    "severity": "critical",
    "owasp": "LLM01",
    "message": "User input should only go into role:'user' messages. System prompts must be static strings."
  }
]

CI Integration

The scanner returns exit code 1 if critical findings are detected, exit code 0 otherwise. Use it as a pre-merge check:

- name: Scan for AI vulnerabilities
  run: ai-blackteam scan src/ --severity critical

File Types

The scanner reads .py, .js, .ts, .tsx, and .jsx files. It skips binary files, node_modules, and hidden directories automatically.

Programmatic Usage

from ai_blackteam.scanner import scan_file, scan_directory

# Scan a single file
findings = scan_file("app.py")

# Scan a directory
findings = scan_directory("src/")

for f in findings:
    print(f"{f['file']}:{f['line']} [{f['severity']}] {f['message']}")

Getting Started

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Code Scanner

Code Scanner

Quick Start

What It Detects

Output Formats

Table (default)

JSON

CI Integration

File Types

Programmatic Usage

​Code Scanner

​Quick Start

​What It Detects

​Output Formats

​Table (default)

​JSON

​CI Integration

​File Types

​Programmatic Usage

Code Scanner

Quick Start

What It Detects

Output Formats

Table (default)

JSON

CI Integration

File Types

Programmatic Usage