feat(skill-tester): add Security dimension to quality scoring system

- Add SecurityScorer module (605 lines) with comprehensive security assessment
- Add 4 security scoring components:
  - Sensitive data exposure prevention (hardcoded credentials detection)
  - Safe file operations (path traversal prevention)
  - Command injection prevention (shell=True, eval, exec detection)
  - Input validation quality (argparse, error handling, type checking)
- Add 53 unit tests with 850 lines of test code
- Update quality_scorer.py to integrate Security dimension (20% weight)
- Rebalance all dimensions from 25% to 20% (5 dimensions total)
- Update tier requirements:
  - POWERFUL: Security ≥70
  - STANDARD: Security ≥50
  - BASIC: Security ≥40
- Update documentation (quality-scoring-rubric.md, tier-requirements-matrix.md)
- Version bump to 2.0.0

This addresses the feedback from PR #420 by providing a focused, well-tested
implementation of the Security dimension without bundling other changes.
This commit is contained in:
xingzihai
2026-03-26 13:25:27 +00:00
parent a5423febc8
commit 2f92a1dfcb
5 changed files with 1704 additions and 29 deletions

View File

@@ -1,12 +1,12 @@
# Quality Scoring Rubric
**Version**: 1.0.0
**Last Updated**: 2026-02-16
**Version**: 2.0.0
**Last Updated**: 2026-03-26
**Authority**: Claude Skills Engineering Team
## Overview
This document defines the comprehensive quality scoring methodology used to assess skills within the claude-skills ecosystem. The scoring system evaluates four key dimensions, each weighted equally at 25%, to provide an objective and consistent measure of skill quality.
This document defines the comprehensive quality scoring methodology used to assess skills within the claude-skills ecosystem. The scoring system evaluates five key dimensions, each weighted equally at 20%, to provide an objective and consistent measure of skill quality.
## Scoring Framework
@@ -25,12 +25,13 @@ This document defines the comprehensive quality scoring methodology used to asse
### Dimension Weights
Each dimension contributes equally to the overall score:
- **Documentation Quality**: 25%
- **Code Quality**: 25%
- **Completeness**: 25%
- **Usability**: 25%
- **Documentation Quality**: 20%
- **Code Quality**: 20%
- **Completeness**: 20%
- **Security**: 20%
- **Usability**: 20%
## Documentation Quality (25% Weight)
## Documentation Quality (20% Weight)
### Scoring Components
@@ -76,7 +77,7 @@ Each dimension contributes equally to the overall score:
- **Poor (40-59)**: 1-2 minimal examples
- **Failing (0-39)**: No examples or unclear usage
## Code Quality (25% Weight)
## Code Quality (20% Weight)
### Scoring Components
@@ -142,7 +143,7 @@ Each dimension contributes equally to the overall score:
- **Poor (40-59)**: Basic output, formatting issues
- **Failing (0-39)**: Poor or no structured output
## Completeness (25% Weight)
## Completeness (20% Weight)
### Scoring Components
@@ -202,7 +203,7 @@ Structure Score = (Required Present / Required Total) * 0.6 +
- **Poor (40-59)**: Minimal testing support
- **Failing (0-39)**: No testing or validation capability
## Usability (25% Weight)
## Usability (20% Weight)
### Scoring Components
@@ -379,6 +380,126 @@ def assign_letter_grade(overall_score):
- Create beginner-friendly tutorials
- Add interactive examples
## Security (20% Weight)
### Overview
The Security dimension evaluates Python scripts for security vulnerabilities and best practices. This dimension is critical for ensuring that skills do not introduce security risks into the claude-skills ecosystem.
### Scoring Components
#### Sensitive Data Exposure Prevention (25% of Security Score)
**Component Breakdown:**
- **Hardcoded Credentials Detection**: Passwords, API keys, tokens, secrets
- **AWS Credential Detection**: Access keys and secret keys
- **Private Key Detection**: RSA, SSH, and other private keys
- **JWT Token Detection**: JSON Web Tokens in code
**Scoring Criteria:**
| Score Range | Criteria |
|-------------|----------|
| 90-100 | No hardcoded credentials, uses environment variables properly |
| 75-89 | Minor issues (e.g., placeholder values that aren't real secrets) |
| 60-74 | One or two low-severity issues |
| 40-59 | Multiple medium-severity issues |
| Below 40 | Critical hardcoded secrets detected |
#### Safe File Operations (25% of Security Score)
**Component Breakdown:**
- **Path Traversal Detection**: `../`, URL-encoded variants, Unicode variants
- **String Concatenation Risks**: `open(path + user_input)`
- **Null Byte Injection**: `%00`, `\x00`
- **Safe Pattern Usage**: `pathlib.Path`, `os.path.basename`
**Scoring Criteria:**
| Score Range | Criteria |
|-------------|----------|
| 90-100 | Uses pathlib/os.path safely, no path traversal vulnerabilities |
| 75-89 | Minor issues, uses safe patterns mostly |
| 60-74 | Some path concatenation with user input |
| 40-59 | Path traversal patterns detected |
| Below 40 | Critical vulnerabilities present |
#### Command Injection Prevention (25% of Security Score)
**Component Breakdown:**
- **Dangerous Functions**: `os.system()`, `eval()`, `exec()`, `subprocess` with `shell=True`
- **Safe Alternatives**: `subprocess.run(args, shell=False)`, `shlex.quote()`, `shlex.split()`
**Scoring Criteria:**
| Score Range | Criteria |
|-------------|----------|
| 90-100 | No command injection risks, uses subprocess safely |
| 75-89 | Minor issues, mostly safe patterns |
| 60-74 | Some use of shell=True or eval with safe context |
| 40-59 | Command injection patterns detected |
| Below 40 | Critical vulnerabilities (unfiltered user input to shell) |
#### Input Validation Quality (25% of Security Score)
**Component Breakdown:**
- **Argparse Usage**: CLI argument validation
- **Type Checking**: `isinstance()`, type hints
- **Error Handling**: `try/except` blocks
- **Input Sanitization**: Regex validation, input cleaning
**Scoring Criteria:**
| Score Range | Criteria |
|-------------|----------|
| 90-100 | Comprehensive input validation, proper error handling |
| 75-89 | Good validation coverage, most inputs checked |
| 60-74 | Basic validation present |
| 40-59 | Minimal input validation |
| Below 40 | No input validation |
### Security Best Practices
**Recommended Patterns:**
```python
# Use environment variables for secrets
import os
password = os.environ.get("PASSWORD")
# Use pathlib for safe path operations
from pathlib import Path
safe_path = Path(base_dir) / user_input
# Use subprocess safely
import subprocess
result = subprocess.run(["ls", user_input], capture_output=True)
# Use shlex for shell argument safety
import shlex
safe_arg = shlex.quote(user_input)
```
**Patterns to Avoid:**
```python
# Don't hardcode secrets
password = "my_secret_password" # BAD
# Don't use string concatenation for paths
open(base_path + "/" + user_input) # BAD
# Don't use shell=True with user input
os.system(f"ls {user_input}") # BAD
# Don't use eval on user input
eval(user_input) # VERY BAD
```
### Security Score Impact on Tiers
- **POWERFUL Tier**: Requires Security score ≥ 70
- **STANDARD Tier**: Requires Security score ≥ 50
- **BASIC Tier**: No minimum Security requirement
#### Low Security Scores
- Remove hardcoded credentials, use environment variables
- Fix path traversal vulnerabilities
- Replace dangerous functions with safe alternatives
- Add input validation and error handling
## Quality Assurance Process
### Automated Scoring

View File

@@ -1,7 +1,7 @@
# Tier Requirements Matrix
**Version**: 1.0.0
**Last Updated**: 2026-02-16
**Version**: 2.0.0
**Last Updated**: 2026-03-26
**Authority**: Claude Skills Engineering Team
## Overview
@@ -33,6 +33,9 @@ Advanced skills that provide comprehensive functionality with sophisticated impl
| **Documentation Depth** | Functional | Comprehensive | Expert-level |
| **Examples Provided** | ≥1 | ≥3 | ≥5 |
| **Test Coverage** | Basic validation | Sample data testing | Comprehensive test suite |
| **Security Score** | ≥40 | ≥50 | ≥70 |
| **Hardcoded Secrets** | None | None | None |
| **Input Validation** | Basic | Comprehensive | Advanced with sanitization |
## Detailed Requirements by Tier
@@ -65,6 +68,13 @@ Advanced skills that provide comprehensive functionality with sophisticated impl
- **Usability**: Clear usage instructions and examples
- **Completeness**: All essential components present
#### Security Requirements
- **Security Score**: Minimum 40/100
- **Hardcoded Secrets**: No hardcoded passwords, API keys, or tokens
- **Input Validation**: Basic validation for user inputs
- **Error Handling**: User-friendly error messages without exposing sensitive info
- **Safe Patterns**: Avoid obvious security anti-patterns
### STANDARD Tier Requirements
#### Documentation Requirements
@@ -96,6 +106,14 @@ Advanced skills that provide comprehensive functionality with sophisticated impl
- **Testing**: Sample data processing with validation
- **Integration**: Consideration for CI/CD and automation use
#### Security Requirements
- **Security Score**: Minimum 50/100
- **Hardcoded Secrets**: No hardcoded credentials (zero tolerance)
- **Input Validation**: Comprehensive validation with error messages
- **File Operations**: Safe path handling, no path traversal vulnerabilities
- **Command Execution**: No shell injection risks, safe subprocess usage
- **Security Patterns**: Use of environment variables for secrets
### POWERFUL Tier Requirements
#### Documentation Requirements
@@ -128,6 +146,19 @@ Advanced skills that provide comprehensive functionality with sophisticated impl
- **Integration**: Full CI/CD integration capabilities
- **Maintainability**: Designed for long-term maintenance and extension
#### Security Requirements
- **Security Score**: Minimum 70/100
- **Hardcoded Secrets**: Zero tolerance for hardcoded credentials
- **Input Validation**: Advanced validation with sanitization and type checking
- **File Operations**: All file operations use safe patterns (pathlib, validation)
- **Command Execution**: All subprocess calls use safe patterns (no shell=True)
- **Security Patterns**: Comprehensive security practices including:
- Environment variables for all secrets
- Input sanitization for all user inputs
- Safe deserialization practices
- Secure error handling without info leakage
- **Security Documentation**: Security considerations documented in code and docs
## Tier Assessment Criteria
### Automatic Tier Classification
@@ -299,15 +330,16 @@ except Exception as e:
## Quality Scoring by Tier
### Scoring Thresholds
- **POWERFUL Tier**: Overall score ≥80, all dimensions ≥75
- **STANDARD Tier**: Overall score ≥70, 3+ dimensions ≥65
- **BASIC Tier**: Overall score ≥60, meets minimum requirements
- **POWERFUL Tier**: Overall score ≥80, all dimensions ≥75, Security ≥70
- **STANDARD Tier**: Overall score ≥70, 4+ dimensions ≥65, Security ≥50
- **BASIC Tier**: Overall score ≥60, meets minimum requirements, Security ≥40
### Dimension Weights (All Tiers)
- **Documentation**: 25%
- **Code Quality**: 25%
- **Completeness**: 25%
- **Usability**: 25%
- **Documentation**: 20%
- **Code Quality**: 20%
- **Completeness**: 20%
- **Security**: 20%
- **Usability**: 20%
### Tier-Specific Quality Expectations
@@ -315,18 +347,21 @@ except Exception as e:
- Documentation: Functional and clear (60+ points expected)
- Code Quality: Clean and maintainable (60+ points expected)
- Completeness: Essential components present (60+ points expected)
- Security: Basic security practices (40+ points expected)
- Usability: Easy to understand and use (60+ points expected)
#### STANDARD Tier Quality Profile
- Documentation: Professional and comprehensive (70+ points expected)
- Code Quality: Advanced patterns and best practices (70+ points expected)
- Completeness: All recommended components (70+ points expected)
- Security: Good security practices, no hardcoded secrets (50+ points expected)
- Usability: Well-designed user experience (70+ points expected)
#### POWERFUL Tier Quality Profile
- Documentation: Expert-level and publication-ready (80+ points expected)
- Code Quality: Enterprise-grade implementation (80+ points expected)
- Completeness: Comprehensive test and validation coverage (80+ points expected)
- Security: Advanced security practices, comprehensive validation (70+ points expected)
- Usability: Exceptional user experience with extensive help (80+ points expected)
## Tier Migration Process

View File

@@ -3,15 +3,18 @@
Quality Scorer - Scores skills across multiple quality dimensions
This script provides comprehensive quality assessment for skills in the claude-skills
ecosystem by evaluating documentation, code quality, completeness, and usability.
ecosystem by evaluating documentation, code quality, completeness, security, and usability.
Generates letter grades, tier recommendations, and improvement roadmaps.
Usage:
python quality_scorer.py <skill_path> [--detailed] [--minimum-score SCORE] [--json]
Author: Claude Skills Engineering Team
Version: 1.0.0
Version: 2.0.0
Dependencies: Python Standard Library Only
Changelog:
v2.0.0 - Added Security dimension (20% weight), rebalanced all dimensions to 20%
v1.0.0 - Initial release with 4 dimensions (25% each)
"""
import argparse
@@ -23,6 +26,9 @@ import sys
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Any, Optional, Tuple
# Import Security Scorer module
from security_scorer import SecurityScorer
try:
import yaml
except ImportError:
@@ -148,15 +154,18 @@ class QualityReport:
code_score = self.dimensions.get("Code Quality", QualityDimension("", 0, "")).score
completeness_score = self.dimensions.get("Completeness", QualityDimension("", 0, "")).score
usability_score = self.dimensions.get("Usability", QualityDimension("", 0, "")).score
security_score = self.dimensions.get("Security", QualityDimension("", 0, "")).score
# POWERFUL tier requirements (all dimensions must be strong)
if (self.overall_score >= 80 and
all(score >= 75 for score in [doc_score, code_score, completeness_score, usability_score])):
all(score >= 75 for score in [doc_score, code_score, completeness_score, usability_score]) and
security_score >= 70):
self.tier_recommendation = "POWERFUL"
# STANDARD tier requirements (most dimensions good)
elif (self.overall_score >= 70 and
sum(1 for score in [doc_score, code_score, completeness_score, usability_score] if score >= 65) >= 3):
sum(1 for score in [doc_score, code_score, completeness_score, usability_score, security_score] if score >= 65) >= 4 and
security_score >= 50):
self.tier_recommendation = "STANDARD"
# BASIC tier (minimum viable quality)
@@ -220,10 +229,11 @@ class QualityScorer:
if not self.skill_path.exists():
raise ValueError(f"Skill path does not exist: {self.skill_path}")
# Score each dimension
# Score each dimension (20% weight each, 5 dimensions total)
self._score_documentation()
self._score_code_quality()
self._score_completeness()
self._score_security()
self._score_usability()
# Calculate overall metrics
@@ -241,7 +251,7 @@ class QualityScorer:
"""Score documentation quality (25% weight)"""
self.log_verbose("Scoring documentation quality...")
dimension = QualityDimension("Documentation", 0.25, "Quality of documentation and written materials")
dimension = QualityDimension("Documentation", 0.20, "Quality of documentation and written materials")
# Score SKILL.md
self._score_skill_md(dimension)
@@ -495,7 +505,7 @@ class QualityScorer:
"""Score code quality (25% weight)"""
self.log_verbose("Scoring code quality...")
dimension = QualityDimension("Code Quality", 0.25, "Quality of Python scripts and implementation")
dimension = QualityDimension("Code Quality", 0.20, "Quality of Python scripts and implementation")
scripts_dir = self.skill_path / "scripts"
if not scripts_dir.exists():
@@ -682,7 +692,7 @@ class QualityScorer:
"""Score completeness (25% weight)"""
self.log_verbose("Scoring completeness...")
dimension = QualityDimension("Completeness", 0.25, "Completeness of required components and assets")
dimension = QualityDimension("Completeness", 0.20, "Completeness of required components and assets")
# Score directory structure
self._score_directory_structure(dimension)
@@ -804,7 +814,7 @@ class QualityScorer:
"""Score usability (25% weight)"""
self.log_verbose("Scoring usability...")
dimension = QualityDimension("Usability", 0.25, "Ease of use and user experience")
dimension = QualityDimension("Usability", 0.20, "Ease of use and user experience")
# Score installation simplicity
self._score_installation(dimension)
@@ -936,6 +946,58 @@ class QualityScorer:
dimension.add_score("practical_examples", score, 25,
f"Practical examples: {len(example_files)} files")
def _score_security(self):
"""Score security quality (20% weight)"""
self.log_verbose("Scoring security quality...")
dimension = QualityDimension("Security", 0.20, "Security practices and vulnerability prevention")
# Find Python scripts
python_files = list(self.skill_path.rglob("*.py"))
# Filter out test files and __pycache__
python_files = [f for f in python_files
if "__pycache__" not in str(f) and "test_" not in f.name]
if not python_files:
dimension.add_score("scripts_existence", 25, 25,
"No scripts directory - no script security concerns")
dimension.calculate_final_score()
self.report.add_dimension(dimension)
return
# Use SecurityScorer module
try:
scorer = SecurityScorer(python_files, verbose=self.verbose)
result = scorer.get_overall_score()
# Extract scores from SecurityScorer result
sensitive_data_score = result.get("sensitive_data_exposure", {}).get("score", 0)
file_ops_score = result.get("safe_file_operations", {}).get("score", 0)
command_injection_score = result.get("command_injection_prevention", {}).get("score", 0)
input_validation_score = result.get("input_validation", {}).get("score", 0)
dimension.add_score("sensitive_data_exposure", sensitive_data_score, 25,
"Detection and prevention of hardcoded credentials")
dimension.add_score("safe_file_operations", file_ops_score, 25,
"Prevention of path traversal vulnerabilities")
dimension.add_score("command_injection_prevention", command_injection_score, 25,
"Prevention of command injection vulnerabilities")
dimension.add_score("input_validation", input_validation_score, 25,
"Quality of input validation and error handling")
# Add suggestions from SecurityScorer
for issue in result.get("issues", []):
dimension.add_suggestion(issue)
except Exception as e:
self.log_verbose(f"Security scoring failed: {str(e)}")
dimension.add_score("security_error", 0, 100, f"Security scoring failed: {str(e)}")
dimension.add_suggestion("Fix security scoring module integration")
dimension.calculate_final_score()
self.report.add_dimension(dimension)
class QualityReportFormatter:
"""Formats quality reports for output"""

View File

@@ -0,0 +1,606 @@
#!/usr/bin/env python3
"""
Security Scorer - Security dimension scoring module
This module provides comprehensive security assessment for Python scripts,
evaluating sensitive data exposure, safe file operations, command injection
prevention, and input validation quality.
Author: Claude Skills Engineering Team
Version: 2.0.0
"""
import re
from pathlib import Path
from typing import Dict, List, Tuple, Optional, Any
# =============================================================================
# CONSTANTS - Scoring thresholds and weights
# =============================================================================
# Maximum score per component (25 points each, 4 components = 100 total)
MAX_COMPONENT_SCORE: int = 25
# Minimum score floor (never go below 0)
MIN_SCORE: int = 0
# Security score thresholds for tier recommendations
SECURITY_SCORE_POWERFUL_TIER: int = 70 # Required for POWERFUL tier
SECURITY_SCORE_STANDARD_TIER: int = 50 # Required for STANDARD tier
# Scoring modifiers (magic numbers replaced with named constants)
BASE_SCORE_SENSITIVE_DATA: int = 25 # Start with full points
BASE_SCORE_FILE_OPS: int = 15 # Base score for file operations
BASE_SCORE_COMMAND_INJECTION: int = 25 # Start with full points
BASE_SCORE_INPUT_VALIDATION: int = 10 # Base score for input validation
# Penalty amounts (negative scoring)
CRITICAL_VULNERABILITY_PENALTY: int = -25 # Critical issues (hardcoded passwords, etc.)
HIGH_SEVERITY_PENALTY: int = -10 # High severity issues
MEDIUM_SEVERITY_PENALTY: int = -5 # Medium severity issues
LOW_SEVERITY_PENALTY: int = -2 # Low severity issues
# Bonus amounts (positive scoring)
SAFE_PATTERN_BONUS: int = 2 # Bonus for using safe patterns
GOOD_PRACTICE_BONUS: int = 3 # Bonus for good security practices
# =============================================================================
# PRE-COMPILED REGEX PATTERNS - Sensitive Data Detection
# =============================================================================
# Hardcoded credentials patterns (CRITICAL severity)
PATTERN_HARDCODED_PASSWORD = re.compile(
r'password\s*=\s*["\'][^"\']{4,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_API_KEY = re.compile(
r'api_key\s*=\s*["\'][^"\']{8,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_SECRET = re.compile(
r'secret\s*=\s*["\'][^"\']{4,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_TOKEN = re.compile(
r'token\s*=\s*["\'][^"\']{8,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_PRIVATE_KEY = re.compile(
r'private_key\s*=\s*["\'][^"\']{20,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_AWS_KEY = re.compile(
r'aws_access_key\s*=\s*["\'][^"\']{16,}["\']',
re.IGNORECASE
)
PATTERN_HARDCODED_AWS_SECRET = re.compile(
r'aws_secret\s*=\s*["\'][^"\']{20,}["\']',
re.IGNORECASE
)
# Multi-line string patterns (CRITICAL severity)
PATTERN_MULTILINE_STRING = re.compile(
r'["\']{3}[^"\']*?(?:password|api_key|secret|token|private_key)[^"\']*?["\']{3}',
re.IGNORECASE | re.DOTALL
)
# F-string patterns (HIGH severity)
PATTERN_FSTRING_SENSITIVE = re.compile(
r'f["\'].*?(?:password|api_key|secret|token)\s*=',
re.IGNORECASE
)
# Base64 encoded secrets (MEDIUM severity)
PATTERN_BASE64_SECRET = re.compile(
r'(?:base64|b64encode|b64decode)\s*\([^)]*(?:password|api_key|secret|token)',
re.IGNORECASE
)
# JWT tokens (HIGH severity)
PATTERN_JWT_TOKEN = re.compile(
r'eyJ[a-zA-Z0-9_-]*\.eyJ[a-zA-Z0-9_-]*\.[a-zA-Z0-9_-]*'
)
# Connection strings (HIGH severity)
PATTERN_CONNECTION_STRING = re.compile(
r'(?:connection_string|conn_string|database_url)\s*=\s*["\'][^"\']*(?:password|pwd|passwd)[^"\']*["\']',
re.IGNORECASE
)
# Safe credential patterns (environment variables are OK)
PATTERN_SAFE_ENV_VAR = re.compile(
r'os\.(?:getenv|environ)\s*\(\s*["\'][^"\']+["\']',
re.IGNORECASE
)
# =============================================================================
# PRE-COMPILED REGEX PATTERNS - Path Traversal Detection
# =============================================================================
# Basic path traversal patterns
PATTERN_PATH_TRAVERSAL_BASIC = re.compile(r'\.\.\/')
PATTERN_PATH_TRAVERSAL_WINDOWS = re.compile(r'\.\.\\')
# URL encoded path traversal (MEDIUM severity)
PATTERN_PATH_TRAVERSAL_URL_ENCODED = re.compile(
r'%2e%2e%2f|%252e%252e%252f|\.\.%2f',
re.IGNORECASE
)
# Unicode encoded path traversal (MEDIUM severity)
PATTERN_PATH_TRAVERSAL_UNICODE = re.compile(
r'\\u002e\\u002e|\\uff0e\\uff0e|\u002e\u002e\/',
re.IGNORECASE
)
# Null byte injection (HIGH severity)
PATTERN_NULL_BYTE = re.compile(r'%00|\\x00|\0')
# Risky file operation patterns
PATTERN_PATH_CONCAT = re.compile(
r'open\s*\(\s*[^)]*\+',
re.IGNORECASE
)
PATTERN_USER_INPUT_PATH = re.compile(
r'\.join\s*\(\s*[^)]*input|os\.path\.join\s*\([^)]*request',
re.IGNORECASE
)
# Safe file operation patterns
PATTERN_SAFE_BASENAME = re.compile(r'os\.path\.basename', re.IGNORECASE)
PATTERN_SAFE_PATHLIB = re.compile(r'pathlib\.Path\s*\(', re.IGNORECASE)
PATTERN_PATH_VALIDATION = re.compile(r'validate.*path', re.IGNORECASE)
PATTERN_PATH_RESOLVE = re.compile(r'\.resolve\s*\(', re.IGNORECASE)
# =============================================================================
# PRE-COMPILED REGEX PATTERNS - Command Injection Detection
# =============================================================================
# Dangerous patterns (CRITICAL severity)
PATTERN_OS_SYSTEM = re.compile(r'os\.system\s*\(')
PATTERN_OS_POPEN = re.compile(r'os\.popen\s*\(')
PATTERN_EVAL = re.compile(r'eval\s*\(')
PATTERN_EXEC = re.compile(r'exec\s*\(')
# Subprocess with shell=True (HIGH severity)
PATTERN_SUBPROCESS_SHELL_TRUE = re.compile(
r'subprocess\.(?:call|run|Popen|check_output)\s*\([^)]*shell\s*=\s*True',
re.IGNORECASE
)
# Asyncio subprocess shell (HIGH severity)
PATTERN_ASYNCIO_SHELL = re.compile(
r'asyncio\.create_subprocess_shell\s*\(',
re.IGNORECASE
)
# Pexpect spawn (HIGH severity)
PATTERN_PEXPECT_SPAWN = re.compile(r'pexpect\.spawn\s*\(', re.IGNORECASE)
# Safe subprocess patterns
PATTERN_SAFE_SUBPROCESS = re.compile(
r'subprocess\.(?:run|call|Popen)\s*\([^)]*shell\s*=\s*False',
re.IGNORECASE
)
PATTERN_SHLEX_QUOTE = re.compile(r'shlex\.quote', re.IGNORECASE)
PATTERN_SHLEX_SPLIT = re.compile(r'shlex\.split', re.IGNORECASE)
# =============================================================================
# PRE-COMPILED REGEX PATTERNS - Input Validation Detection
# =============================================================================
# Good validation patterns
PATTERN_ARGPARSE = re.compile(r'argparse')
PATTERN_TRY_EXCEPT = re.compile(r'try\s*:[\s\S]*?except\s+\w*Error')
PATTERN_INPUT_CHECK = re.compile(r'if\s+not\s+\w+\s*:')
PATTERN_ISINSTANCE = re.compile(r'isinstance\s*\(')
PATTERN_ISDIGIT = re.compile(r'\.isdigit\s*\(\)')
PATTERN_REGEX_VALIDATION = re.compile(r're\.(?:match|search|fullmatch)\s*\(')
PATTERN_VALIDATOR_CLASS = re.compile(r'Validator', re.IGNORECASE)
PATTERN_VALIDATE_FUNC = re.compile(r'validate', re.IGNORECASE)
PATTERN_SANITIZE_FUNC = re.compile(r'sanitize', re.IGNORECASE)
class SecurityScorer:
"""
Security dimension scoring engine.
This class evaluates Python scripts for security vulnerabilities and best practices
across four components:
1. Sensitive Data Exposure Prevention (25% of security score)
2. Safe File Operations (25% of security score)
3. Command Injection Prevention (25% of security score)
4. Input Validation Quality (25% of security score)
Attributes:
scripts: List of Python script paths to evaluate
verbose: Whether to output verbose logging
"""
def __init__(self, scripts: List[Path], verbose: bool = False):
"""
Initialize the SecurityScorer.
Args:
scripts: List of Path objects pointing to Python scripts
verbose: Enable verbose output for debugging
"""
self.scripts = scripts
self.verbose = verbose
self._findings: List[str] = []
def _log_verbose(self, message: str) -> None:
"""Log verbose message if verbose mode is enabled."""
if self.verbose:
print(f"[SECURITY] {message}")
def _get_script_content(self, script_path: Path) -> Optional[str]:
"""
Safely read script content.
Args:
script_path: Path to the Python script
Returns:
Script content as string, or None if read fails
"""
try:
return script_path.read_text(encoding='utf-8')
except Exception as e:
self._log_verbose(f"Failed to read {script_path}: {e}")
return None
def _clamp_score(self, score: int) -> int:
"""
Clamp score to valid range [MIN_SCORE, MAX_COMPONENT_SCORE].
Args:
score: Raw score value
Returns:
Score clamped to valid range
"""
return max(MIN_SCORE, min(score, MAX_COMPONENT_SCORE))
def _score_patterns(
self,
content: str,
script_name: str,
dangerous_patterns: List[Tuple[re.Pattern, str, int]],
safe_patterns: List[Tuple[re.Pattern, str, int]],
base_score: int
) -> Tuple[int, List[str]]:
"""
Generic pattern scoring method.
This method evaluates a script against lists of dangerous and safe patterns,
applying penalties for dangerous patterns found and bonuses for safe patterns.
Args:
content: Script content to analyze
script_name: Name of the script (for findings)
dangerous_patterns: List of (pattern, description, penalty) tuples
safe_patterns: List of (pattern, description, bonus) tuples
base_score: Starting score before adjustments
Returns:
Tuple of (final_score, findings_list)
"""
score = base_score
findings = []
# Check for dangerous patterns
for pattern, description, penalty in dangerous_patterns:
matches = pattern.findall(content)
if matches:
score += penalty # Penalty is negative
findings.append(f"{script_name}: {description} ({len(matches)} occurrence(s))")
# Check for safe patterns
for pattern, description, bonus in safe_patterns:
if pattern.search(content):
score += bonus
self._log_verbose(f"Safe pattern found in {script_name}: {description}")
return self._clamp_score(score), findings
def score_sensitive_data_exposure(self) -> Tuple[float, List[str]]:
"""
Score sensitive data exposure prevention.
Evaluates scripts for:
- Hardcoded passwords, API keys, secrets, tokens, private keys
- Multi-line string credentials
- F-string sensitive data
- Base64 encoded secrets
- JWT tokens
- Connection strings with credentials
Returns:
Tuple of (average_score, findings_list)
"""
if not self.scripts:
return float(MAX_COMPONENT_SCORE), []
scores = []
all_findings = []
# Define dangerous patterns with severity-based penalties
dangerous_patterns = [
(PATTERN_HARDCODED_PASSWORD, 'hardcoded password', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_API_KEY, 'hardcoded API key', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_SECRET, 'hardcoded secret', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_TOKEN, 'hardcoded token', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_PRIVATE_KEY, 'hardcoded private key', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_AWS_KEY, 'hardcoded AWS key', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_HARDCODED_AWS_SECRET, 'hardcoded AWS secret', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_MULTILINE_STRING, 'multi-line string credential', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_FSTRING_SENSITIVE, 'f-string sensitive data', HIGH_SEVERITY_PENALTY),
(PATTERN_BASE64_SECRET, 'base64 encoded secret', MEDIUM_SEVERITY_PENALTY),
(PATTERN_JWT_TOKEN, 'JWT token in code', HIGH_SEVERITY_PENALTY),
(PATTERN_CONNECTION_STRING, 'connection string with credentials', HIGH_SEVERITY_PENALTY),
]
# Safe patterns get bonus points
safe_patterns = [
(PATTERN_SAFE_ENV_VAR, 'safe environment variable usage', SAFE_PATTERN_BONUS),
]
for script_path in self.scripts:
content = self._get_script_content(script_path)
if content is None:
continue
score, findings = self._score_patterns(
content=content,
script_name=script_path.name,
dangerous_patterns=dangerous_patterns,
safe_patterns=safe_patterns,
base_score=BASE_SCORE_SENSITIVE_DATA
)
scores.append(score)
all_findings.extend(findings)
avg_score = sum(scores) / len(scores) if scores else 0.0
return avg_score, all_findings
def score_safe_file_operations(self) -> Tuple[float, List[str]]:
"""
Score safe file operations.
Evaluates scripts for:
- Path traversal vulnerabilities (basic, URL-encoded, Unicode, null bytes)
- Unsafe path construction
- Safe patterns (pathlib, basename, validation)
Returns:
Tuple of (average_score, findings_list)
"""
if not self.scripts:
return float(MAX_COMPONENT_SCORE), []
scores = []
all_findings = []
# Dangerous patterns with severity-based penalties
dangerous_patterns = [
(PATTERN_PATH_TRAVERSAL_BASIC, 'basic path traversal', HIGH_SEVERITY_PENALTY),
(PATTERN_PATH_TRAVERSAL_WINDOWS, 'Windows-style path traversal', HIGH_SEVERITY_PENALTY),
(PATTERN_PATH_TRAVERSAL_URL_ENCODED, 'URL-encoded path traversal', HIGH_SEVERITY_PENALTY),
(PATTERN_PATH_TRAVERSAL_UNICODE, 'Unicode-encoded path traversal', HIGH_SEVERITY_PENALTY),
(PATTERN_NULL_BYTE, 'null byte injection', HIGH_SEVERITY_PENALTY),
(PATTERN_PATH_CONCAT, 'potential path injection via concatenation', MEDIUM_SEVERITY_PENALTY),
(PATTERN_USER_INPUT_PATH, 'user input in path construction', MEDIUM_SEVERITY_PENALTY),
]
# Safe patterns get bonus points
safe_patterns = [
(PATTERN_SAFE_BASENAME, 'uses basename for safety', SAFE_PATTERN_BONUS),
(PATTERN_SAFE_PATHLIB, 'uses pathlib', SAFE_PATTERN_BONUS),
(PATTERN_PATH_VALIDATION, 'path validation', SAFE_PATTERN_BONUS),
(PATTERN_PATH_RESOLVE, 'path resolution', SAFE_PATTERN_BONUS),
]
for script_path in self.scripts:
content = self._get_script_content(script_path)
if content is None:
continue
score, findings = self._score_patterns(
content=content,
script_name=script_path.name,
dangerous_patterns=dangerous_patterns,
safe_patterns=safe_patterns,
base_score=BASE_SCORE_FILE_OPS
)
scores.append(score)
all_findings.extend(findings)
avg_score = sum(scores) / len(scores) if scores else 0.0
return avg_score, all_findings
def score_command_injection_prevention(self) -> Tuple[float, List[str]]:
"""
Score command injection prevention.
Evaluates scripts for:
- os.system(), os.popen() usage
- subprocess with shell=True
- eval(), exec() usage
- asyncio.create_subprocess_shell()
- pexpect.spawn()
- Safe patterns (shlex.quote, shell=False)
Returns:
Tuple of (average_score, findings_list)
"""
if not self.scripts:
return float(MAX_COMPONENT_SCORE), []
scores = []
all_findings = []
# Dangerous patterns with severity-based penalties
dangerous_patterns = [
(PATTERN_OS_SYSTEM, 'os.system usage - potential command injection', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_OS_POPEN, 'os.popen usage', HIGH_SEVERITY_PENALTY),
(PATTERN_EVAL, 'eval usage - code injection risk', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_EXEC, 'exec usage - code injection risk', CRITICAL_VULNERABILITY_PENALTY),
(PATTERN_SUBPROCESS_SHELL_TRUE, 'subprocess with shell=True', HIGH_SEVERITY_PENALTY),
(PATTERN_ASYNCIO_SHELL, 'asyncio.create_subprocess_shell()', HIGH_SEVERITY_PENALTY),
(PATTERN_PEXPECT_SPAWN, 'pexpect.spawn()', MEDIUM_SEVERITY_PENALTY),
]
# Safe patterns get bonus points
safe_patterns = [
(PATTERN_SAFE_SUBPROCESS, 'safe subprocess usage (shell=False)', GOOD_PRACTICE_BONUS),
(PATTERN_SHLEX_QUOTE, 'shell escaping with shlex.quote', GOOD_PRACTICE_BONUS),
(PATTERN_SHLEX_SPLIT, 'safe argument splitting with shlex.split', GOOD_PRACTICE_BONUS),
]
for script_path in self.scripts:
content = self._get_script_content(script_path)
if content is None:
continue
score, findings = self._score_patterns(
content=content,
script_name=script_path.name,
dangerous_patterns=dangerous_patterns,
safe_patterns=safe_patterns,
base_score=BASE_SCORE_COMMAND_INJECTION
)
scores.append(score)
all_findings.extend(findings)
avg_score = sum(scores) / len(scores) if scores else 0.0
return avg_score, all_findings
def score_input_validation(self) -> Tuple[float, List[str]]:
"""
Score input validation quality.
Evaluates scripts for:
- argparse usage for CLI validation
- Error handling patterns
- Type checking (isinstance)
- Regex validation
- Validation/sanitization functions
Returns:
Tuple of (average_score, suggestions_list)
"""
if not self.scripts:
return float(MAX_COMPONENT_SCORE), []
scores = []
suggestions = []
# Good validation patterns (each gives bonus points)
validation_patterns = [
(PATTERN_ARGPARSE, GOOD_PRACTICE_BONUS),
(PATTERN_TRY_EXCEPT, SAFE_PATTERN_BONUS),
(PATTERN_INPUT_CHECK, SAFE_PATTERN_BONUS),
(PATTERN_ISINSTANCE, SAFE_PATTERN_BONUS),
(PATTERN_ISDIGIT, SAFE_PATTERN_BONUS),
(PATTERN_REGEX_VALIDATION, SAFE_PATTERN_BONUS),
(PATTERN_VALIDATOR_CLASS, GOOD_PRACTICE_BONUS),
(PATTERN_VALIDATE_FUNC, SAFE_PATTERN_BONUS),
(PATTERN_SANITIZE_FUNC, SAFE_PATTERN_BONUS),
]
for script_path in self.scripts:
content = self._get_script_content(script_path)
if content is None:
continue
score = BASE_SCORE_INPUT_VALIDATION
# Check for validation patterns
for pattern, bonus in validation_patterns:
if pattern.search(content):
score += bonus
scores.append(self._clamp_score(score))
avg_score = sum(scores) / len(scores) if scores else 0.0
if avg_score < 15:
suggestions.append("Add input validation with argparse, type checking, and error handling")
return avg_score, suggestions
def get_overall_score(self) -> Dict[str, Any]:
"""
Calculate overall security score and return detailed results.
Returns:
Dictionary containing:
- overall_score: Weighted average of all components
- components: Individual component scores
- findings: List of security issues found
- suggestions: Improvement suggestions
"""
# Score each component
sensitive_score, sensitive_findings = self.score_sensitive_data_exposure()
file_ops_score, file_ops_findings = self.score_safe_file_operations()
command_injection_score, command_findings = self.score_command_injection_prevention()
input_validation_score, input_suggestions = self.score_input_validation()
# Calculate overall score (equal weight: 25% each)
overall_score = (
sensitive_score * 0.25 +
file_ops_score * 0.25 +
command_injection_score * 0.25 +
input_validation_score * 0.25
)
# Collect all findings
all_findings = sensitive_findings + file_ops_findings + command_findings
# Generate suggestions based on findings
suggestions = input_suggestions.copy()
if sensitive_findings:
suggestions.append("Remove hardcoded credentials and use environment variables or secure config")
if file_ops_findings:
suggestions.append("Validate and sanitize file paths, use pathlib for safe path handling")
if command_findings:
suggestions.append("Avoid shell=True in subprocess, use shlex.quote for shell arguments")
# Critical vulnerability check - if any critical issues, cap the score
critical_patterns = [
PATTERN_HARDCODED_PASSWORD, PATTERN_HARDCODED_API_KEY,
PATTERN_HARDCODED_PRIVATE_KEY, PATTERN_OS_SYSTEM,
PATTERN_EVAL, PATTERN_EXEC
]
has_critical = False
for script_path in self.scripts:
content = self._get_script_content(script_path)
if content is None:
continue
for pattern in critical_patterns:
if pattern.search(content):
has_critical = True
break
if has_critical:
break
if has_critical:
overall_score = min(overall_score, 30) # Cap at 30 if critical vulnerabilities exist
return {
'overall_score': round(overall_score, 1),
'components': {
'sensitive_data_exposure': round(sensitive_score, 1),
'safe_file_operations': round(file_ops_score, 1),
'command_injection_prevention': round(command_injection_score, 1),
'input_validation': round(input_validation_score, 1),
},
'findings': all_findings,
'suggestions': suggestions,
'has_critical_vulnerabilities': has_critical,
}

View File

@@ -0,0 +1,851 @@
#!/usr/bin/env python3
"""
Tests for security_scorer.py - Security Dimension Scoring Tests
This test module validates the security_scorer.py module's ability to:
- Detect hardcoded sensitive data (passwords, API keys, tokens, private keys)
- Detect path traversal vulnerabilities
- Detect command injection risks
- Score input validation quality
- Handle edge cases (empty files, environment variables, etc.)
Run with: python -m unittest test_security_scorer
"""
import tempfile
import unittest
from pathlib import Path
# Add the scripts directory to the path
import sys
SCRIPTS_DIR = Path(__file__).parent.parent / "scripts"
sys.path.insert(0, str(SCRIPTS_DIR))
from security_scorer import (
SecurityScorer,
# Constants
MAX_COMPONENT_SCORE,
MIN_SCORE,
BASE_SCORE_SENSITIVE_DATA,
BASE_SCORE_FILE_OPS,
BASE_SCORE_COMMAND_INJECTION,
BASE_SCORE_INPUT_VALIDATION,
CRITICAL_VULNERABILITY_PENALTY,
HIGH_SEVERITY_PENALTY,
MEDIUM_SEVERITY_PENALTY,
LOW_SEVERITY_PENALTY,
SAFE_PATTERN_BONUS,
GOOD_PRACTICE_BONUS,
# Pre-compiled patterns
PATTERN_HARDCODED_PASSWORD,
PATTERN_HARDCODED_API_KEY,
PATTERN_HARDCODED_TOKEN,
PATTERN_HARDCODED_PRIVATE_KEY,
PATTERN_OS_SYSTEM,
PATTERN_EVAL,
PATTERN_EXEC,
PATTERN_SUBPROCESS_SHELL_TRUE,
PATTERN_SHLEX_QUOTE,
PATTERN_SAFE_ENV_VAR,
)
class TestSecurityScorerConstants(unittest.TestCase):
"""Tests for security scorer constants."""
def test_max_component_score_value(self):
"""Test that MAX_COMPONENT_SCORE is 25."""
self.assertEqual(MAX_COMPONENT_SCORE, 25)
def test_min_score_value(self):
"""Test that MIN_SCORE is 0."""
self.assertEqual(MIN_SCORE, 0)
def test_base_scores_are_reasonable(self):
"""Test that base scores are within valid range."""
self.assertGreaterEqual(BASE_SCORE_SENSITIVE_DATA, MIN_SCORE)
self.assertLessEqual(BASE_SCORE_SENSITIVE_DATA, MAX_COMPONENT_SCORE)
self.assertGreaterEqual(BASE_SCORE_FILE_OPS, MIN_SCORE)
self.assertLessEqual(BASE_SCORE_FILE_OPS, MAX_COMPONENT_SCORE)
self.assertGreaterEqual(BASE_SCORE_COMMAND_INJECTION, MIN_SCORE)
self.assertLessEqual(BASE_SCORE_COMMAND_INJECTION, MAX_COMPONENT_SCORE)
def test_penalty_values_are_negative(self):
"""Test that penalty values are negative."""
self.assertLess(CRITICAL_VULNERABILITY_PENALTY, 0)
self.assertLess(HIGH_SEVERITY_PENALTY, 0)
self.assertLess(MEDIUM_SEVERITY_PENALTY, 0)
self.assertLess(LOW_SEVERITY_PENALTY, 0)
def test_bonus_values_are_positive(self):
"""Test that bonus values are positive."""
self.assertGreater(SAFE_PATTERN_BONUS, 0)
self.assertGreater(GOOD_PRACTICE_BONUS, 0)
def test_severity_ordering(self):
"""Test that severity penalties are ordered correctly."""
# Critical should be most severe (most negative)
self.assertLess(CRITICAL_VULNERABILITY_PENALTY, HIGH_SEVERITY_PENALTY)
self.assertLess(HIGH_SEVERITY_PENALTY, MEDIUM_SEVERITY_PENALTY)
self.assertLess(MEDIUM_SEVERITY_PENALTY, LOW_SEVERITY_PENALTY)
class TestPrecompiledPatterns(unittest.TestCase):
"""Tests for pre-compiled regex patterns."""
def test_password_pattern_detects_hardcoded(self):
"""Test that password pattern detects hardcoded passwords."""
code = 'password = "my_secret_password_123"'
self.assertTrue(PATTERN_HARDCODED_PASSWORD.search(code))
def test_password_pattern_ignores_short_values(self):
"""Test that password pattern ignores very short values."""
code = 'password = "x"' # Too short
self.assertFalse(PATTERN_HARDCODED_PASSWORD.search(code))
def test_api_key_pattern_detects_hardcoded(self):
"""Test that API key pattern detects hardcoded keys."""
code = 'api_key = "sk-1234567890abcdef"'
self.assertTrue(PATTERN_HARDCODED_API_KEY.search(code))
def test_token_pattern_detects_hardcoded(self):
"""Test that token pattern detects hardcoded tokens."""
code = 'token = "ghp_1234567890abcdef"'
self.assertTrue(PATTERN_HARDCODED_TOKEN.search(code))
def test_private_key_pattern_detects_hardcoded(self):
"""Test that private key pattern detects hardcoded keys."""
code = 'private_key = "-----BEGIN RSA PRIVATE KEY-----"'
self.assertTrue(PATTERN_HARDCODED_PRIVATE_KEY.search(code))
def test_os_system_pattern_detects(self):
"""Test that os.system pattern is detected."""
code = 'os.system("ls -la")'
self.assertTrue(PATTERN_OS_SYSTEM.search(code))
def test_eval_pattern_detects(self):
"""Test that eval pattern is detected."""
code = 'result = eval(user_input)'
self.assertTrue(PATTERN_EVAL.search(code))
def test_exec_pattern_detects(self):
"""Test that exec pattern is detected."""
code = 'exec(user_code)'
self.assertTrue(PATTERN_EXEC.search(code))
def test_subprocess_shell_true_pattern_detects(self):
"""Test that subprocess shell=True pattern is detected."""
code = 'subprocess.run(cmd, shell=True)'
self.assertTrue(PATTERN_SUBPROCESS_SHELL_TRUE.search(code))
def test_shlex_quote_pattern_detects(self):
"""Test that shlex.quote pattern is detected."""
code = 'safe_cmd = shlex.quote(user_input)'
self.assertTrue(PATTERN_SHLEX_QUOTE.search(code))
def test_safe_env_var_pattern_detects(self):
"""Test that safe environment variable pattern is detected."""
code = 'password = os.getenv("DB_PASSWORD")'
self.assertTrue(PATTERN_SAFE_ENV_VAR.search(code))
class TestSecurityScorerInit(unittest.TestCase):
"""Tests for SecurityScorer initialization."""
def test_init_with_empty_list(self):
"""Test initialization with empty script list."""
scorer = SecurityScorer([])
self.assertEqual(scorer.scripts, [])
self.assertFalse(scorer.verbose)
def test_init_with_scripts(self):
"""Test initialization with script list."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "test.py"
script_path.write_text("# test")
scorer = SecurityScorer([script_path])
self.assertEqual(len(scorer.scripts), 1)
def test_init_with_verbose(self):
"""Test initialization with verbose mode."""
scorer = SecurityScorer([], verbose=True)
self.assertTrue(scorer.verbose)
class TestSensitiveDataExposure(unittest.TestCase):
"""Tests for sensitive data exposure scoring."""
def test_no_scripts_returns_max_score(self):
"""Test that empty script list returns max score."""
scorer = SecurityScorer([])
score, findings = scorer.score_sensitive_data_exposure()
self.assertEqual(score, float(MAX_COMPONENT_SCORE))
self.assertEqual(findings, [])
def test_clean_script_scores_high(self):
"""Test that clean script without sensitive data scores high."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "clean.py"
script_path.write_text("""
import os
def get_password():
return os.getenv("DB_PASSWORD")
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
self.assertGreaterEqual(score, 20)
self.assertEqual(len(findings), 0)
def test_hardcoded_password_detected(self):
"""Test that hardcoded password is detected and penalized."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "insecure.py"
script_path.write_text("""
password = "super_secret_password_123"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
self.assertLess(score, MAX_COMPONENT_SCORE)
self.assertTrue(any('password' in f.lower() for f in findings))
def test_hardcoded_api_key_detected(self):
"""Test that hardcoded API key is detected and penalized."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "insecure.py"
script_path.write_text("""
api_key = "sk-1234567890abcdef123456"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
self.assertLess(score, MAX_COMPONENT_SCORE)
# Check for 'api' or 'hardcoded' in findings (description is 'hardcoded API key')
self.assertTrue(any('api' in f.lower() or 'hardcoded' in f.lower() for f in findings))
def test_hardcoded_token_detected(self):
"""Test that hardcoded token is detected and penalized."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "insecure.py"
script_path.write_text("""
token = "ghp_1234567890abcdef"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
self.assertLess(score, MAX_COMPONENT_SCORE)
def test_hardcoded_private_key_detected(self):
"""Test that hardcoded private key is detected and penalized."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "insecure.py"
script_path.write_text("""
private_key = "-----BEGIN RSA PRIVATE KEY-----MIIEowIBAAJCA..."
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
self.assertLess(score, MAX_COMPONENT_SCORE)
def test_environment_variable_not_flagged(self):
"""Test that environment variable usage is not flagged as sensitive."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "secure.py"
script_path.write_text("""
import os
def get_credentials():
password = os.getenv("DB_PASSWORD")
api_key = os.environ.get("API_KEY")
return password, api_key
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
# Should score well because using environment variables
self.assertGreaterEqual(score, 20)
def test_empty_file_handled(self):
"""Test that empty file is handled gracefully."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "empty.py"
script_path.write_text("")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
# Should return max score for empty file (no sensitive data)
self.assertGreaterEqual(score, 20)
def test_jwt_token_detected(self):
"""Test that JWT token in code is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "jwt.py"
script_path.write_text("""
# JWT token for testing
token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIn0.dozjgNryP4J3jVmNHl0w5N_XgL0n3I9PlFUP0THsR8U"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_sensitive_data_exposure()
# Should be penalized for JWT token
self.assertLess(score, MAX_COMPONENT_SCORE)
class TestSafeFileOperations(unittest.TestCase):
"""Tests for safe file operations scoring."""
def test_no_scripts_returns_max_score(self):
"""Test that empty script list returns max score."""
scorer = SecurityScorer([])
score, findings = scorer.score_safe_file_operations()
self.assertEqual(score, float(MAX_COMPONENT_SCORE))
def test_safe_pathlib_usage_scores_high(self):
"""Test that safe pathlib usage scores high."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "safe.py"
script_path.write_text("""
from pathlib import Path
def read_file(filename):
path = Path(filename).resolve()
return path.read_text()
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_safe_file_operations()
self.assertGreaterEqual(score, 15)
def test_path_traversal_detected(self):
"""Test that path traversal pattern is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "risky.py"
script_path.write_text("""
def read_file(base_path, filename):
# Potential path traversal vulnerability
path = base_path + "/../../../etc/passwd"
return open(path).read()
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_safe_file_operations()
self.assertLess(score, MAX_COMPONENT_SCORE)
def test_basename_usage_scores_bonus(self):
"""Test that basename usage gets bonus points."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "safe.py"
script_path.write_text("""
import os
def safe_filename(user_input):
return os.path.basename(user_input)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_safe_file_operations()
self.assertGreaterEqual(score, 15)
class TestCommandInjectionPrevention(unittest.TestCase):
"""Tests for command injection prevention scoring."""
def test_no_scripts_returns_max_score(self):
"""Test that empty script list returns max score."""
scorer = SecurityScorer([])
score, findings = scorer.score_command_injection_prevention()
self.assertEqual(score, float(MAX_COMPONENT_SCORE))
def test_os_system_detected(self):
"""Test that os.system usage is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "risky.py"
script_path.write_text("""
import os
def run_command(user_input):
os.system("echo " + user_input)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertLess(score, MAX_COMPONENT_SCORE)
self.assertTrue(any('os.system' in f.lower() for f in findings))
def test_subprocess_shell_true_detected(self):
"""Test that subprocess with shell=True is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "risky.py"
script_path.write_text("""
import subprocess
def run_command(cmd):
subprocess.run(cmd, shell=True)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertLess(score, MAX_COMPONENT_SCORE)
# Check for 'shell' or 'subprocess' in findings
self.assertTrue(any('shell' in f.lower() or 'subprocess' in f.lower() for f in findings))
def test_eval_detected(self):
"""Test that eval usage is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "risky.py"
script_path.write_text("""
def evaluate(user_input):
return eval(user_input)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertLess(score, MAX_COMPONENT_SCORE)
self.assertTrue(any('eval' in f.lower() for f in findings))
def test_exec_detected(self):
"""Test that exec usage is detected."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "risky.py"
script_path.write_text("""
def execute(user_code):
exec(user_code)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertLess(score, MAX_COMPONENT_SCORE)
self.assertTrue(any('exec' in f.lower() for f in findings))
def test_shlex_quote_gets_bonus(self):
"""Test that shlex.quote usage gets bonus points."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "safe.py"
script_path.write_text("""
import shlex
import subprocess
def run_command(user_input):
safe_cmd = shlex.quote(user_input)
subprocess.run(["echo", safe_cmd], shell=False)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertGreaterEqual(score, 20)
def test_safe_subprocess_scores_high(self):
"""Test that safe subprocess usage (shell=False) scores high."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "safe.py"
script_path.write_text("""
import subprocess
def run_command(cmd_parts):
subprocess.run(cmd_parts, shell=False)
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, findings = scorer.score_command_injection_prevention()
self.assertGreaterEqual(score, 20)
class TestInputValidation(unittest.TestCase):
"""Tests for input validation scoring."""
def test_no_scripts_returns_max_score(self):
"""Test that empty script list returns max score."""
scorer = SecurityScorer([])
score, suggestions = scorer.score_input_validation()
self.assertEqual(score, float(MAX_COMPONENT_SCORE))
def test_argparse_usage_scores_bonus(self):
"""Test that argparse usage gets bonus points."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "good.py"
script_path.write_text("""
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument("input")
args = parser.parse_args()
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, suggestions = scorer.score_input_validation()
# Base score is 10, argparse gives +3 bonus, so score should be 13
self.assertGreaterEqual(score, 10)
self.assertLessEqual(score, MAX_COMPONENT_SCORE)
def test_isinstance_usage_scores_bonus(self):
"""Test that isinstance usage gets bonus points."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "good.py"
script_path.write_text("""
def process(value):
if isinstance(value, str):
return value.upper()
return value
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, suggestions = scorer.score_input_validation()
self.assertGreater(score, BASE_SCORE_INPUT_VALIDATION)
def test_try_except_scores_bonus(self):
"""Test that try/except usage gets bonus points."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "good.py"
script_path.write_text("""
def process(value):
try:
return int(value)
except ValueError:
return 0
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, suggestions = scorer.score_input_validation()
self.assertGreater(score, BASE_SCORE_INPUT_VALIDATION)
def test_minimal_validation_gets_suggestion(self):
"""Test that minimal validation triggers suggestion."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "minimal.py"
script_path.write_text("""
def main():
print("Hello")
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
score, suggestions = scorer.score_input_validation()
self.assertLess(score, 15)
self.assertTrue(len(suggestions) > 0)
class TestOverallScore(unittest.TestCase):
"""Tests for overall security score calculation."""
def test_overall_score_components_present(self):
"""Test that overall score includes all components."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "test.py"
script_path.write_text("""
import os
import argparse
def main():
parser = argparse.ArgumentParser()
parser.parse_args()
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
results = scorer.get_overall_score()
self.assertIn('overall_score', results)
self.assertIn('components', results)
self.assertIn('findings', results)
self.assertIn('suggestions', results)
components = results['components']
self.assertIn('sensitive_data_exposure', components)
self.assertIn('safe_file_operations', components)
self.assertIn('command_injection_prevention', components)
self.assertIn('input_validation', components)
def test_overall_score_is_weighted_average(self):
"""Test that overall score is calculated as weighted average."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "test.py"
script_path.write_text("""
import argparse
def main():
parser = argparse.ArgumentParser()
parser.parse_args()
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
results = scorer.get_overall_score()
# Calculate expected weighted average
expected = (
results['components']['sensitive_data_exposure'] * 0.25 +
results['components']['safe_file_operations'] * 0.25 +
results['components']['command_injection_prevention'] * 0.25 +
results['components']['input_validation'] * 0.25
)
self.assertAlmostEqual(results['overall_score'], expected, places=0)
def test_critical_vulnerability_caps_score(self):
"""Test that critical vulnerabilities cap the overall score."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "critical.py"
script_path.write_text("""
password = "hardcoded_password_123"
api_key = "sk-1234567890abcdef"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
results = scorer.get_overall_score()
# Score should be capped at 30 for critical vulnerabilities
self.assertLessEqual(results['overall_score'], 30)
self.assertTrue(results['has_critical_vulnerabilities'])
def test_secure_script_scores_high(self):
"""Test that secure script scores high overall."""
with tempfile.TemporaryDirectory() as tmpdir:
script_path = Path(tmpdir) / "secure.py"
script_path.write_text("""
#!/usr/bin/env python3
import argparse
import os
import shlex
import subprocess
from pathlib import Path
def validate_path(path_str):
path = Path(path_str).resolve()
if not path.exists():
raise FileNotFoundError("Path not found")
return path
def safe_command(args):
return subprocess.run(args, shell=False, capture_output=True)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("input")
args = parser.parse_args()
db_password = os.getenv("DB_PASSWORD")
path = validate_path(args.input)
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([script_path])
results = scorer.get_overall_score()
# Secure script should score reasonably well
# Note: Score may vary based on pattern detection
self.assertGreater(results['overall_score'], 20)
class TestScoreClamping(unittest.TestCase):
"""Tests for score boundary clamping."""
def test_score_never_below_zero(self):
"""Test that score never goes below 0."""
scorer = SecurityScorer([])
# Test with extreme negative
result = scorer._clamp_score(-100)
self.assertEqual(result, MIN_SCORE)
def test_score_never_above_max(self):
"""Test that score never goes above max."""
scorer = SecurityScorer([])
# Test with extreme positive
result = scorer._clamp_score(1000)
self.assertEqual(result, MAX_COMPONENT_SCORE)
def test_score_unchanged_in_valid_range(self):
"""Test that score is unchanged in valid range."""
scorer = SecurityScorer([])
for test_score in [0, 5, 10, 15, 20, 25]:
result = scorer._clamp_score(test_score)
self.assertEqual(result, test_score)
class TestMultipleScripts(unittest.TestCase):
"""Tests for scoring multiple scripts."""
def test_multiple_scripts_averaged(self):
"""Test that scores are averaged across multiple scripts."""
with tempfile.TemporaryDirectory() as tmpdir:
secure_script = Path(tmpdir) / "secure.py"
secure_script.write_text("""
import os
def main():
password = os.getenv("PASSWORD")
if __name__ == "__main__":
main()
""")
insecure_script = Path(tmpdir) / "insecure.py"
insecure_script.write_text("""
password = "hardcoded_secret_password"
def main():
pass
if __name__ == "__main__":
main()
""")
scorer = SecurityScorer([secure_script, insecure_script])
score, findings = scorer.score_sensitive_data_exposure()
# Score should be between secure and insecure
self.assertGreater(score, 0)
self.assertLess(score, MAX_COMPONENT_SCORE)
if __name__ == "__main__":
unittest.main(verbosity=2)