Detailed Findings

ID	Location	Severity	Category	Description	Effort
SEC-01	auth/login.py:47	CRITICAL	Security	SQL Injection in authentication query	Medium
SEC-02	config/keys.py:12	CRITICAL	Security	Hardcoded API keys in source code	Small
PERF-01	api/tasks.py:156	HIGH	Performance	N+1 query problem in task listing	Medium
SEC-03	upload/files.py:89	HIGH	Security	Path traversal vulnerability in file upload	Medium
SEC-04	utils/hash.py:23	MEDIUM	Security	Weak password hashing using MD5	Small

Critical Issue Analysis

SEC-01: SQL Injection Vulnerability

Location: auth/login.py, line 47

Risk: An attacker could steal all user data, modify records, or gain administrative access.

Vulnerable Code:

def authenticate_user(username, password):
    query = f"SELECT * FROM users WHERE username = '{username}' AND password = '{password}'"
    result = db.execute(query)
    return result.fetchone()

Recommended Fix:

def authenticate_user(username, password):
    query = "SELECT * FROM users WHERE username = %s AND password = %s"
    result = db.execute(query, (username, hash_password(password)))
    return result.fetchone()

Impact: This vulnerability allows SQL injection attacks through the login form. An attacker could use payloads like ' OR '1'='1 to bypass authentication or extract sensitive data.

SEC-02: Exposed API Keys

Location: config/keys.py, line 12

Risk: Exposed third-party service credentials could lead to unauthorized API usage and billing charges.

Vulnerable Code:

# Third-party API configurations
STRIPE_SECRET_KEY = "sk_live_51H7..."
SENDGRID_API_KEY = "SG.abc123..."
AWS_SECRET_ACCESS_KEY = "wJalrXUtnFEMI/K7MDENG/..."

Recommended Fix:

import os
from dotenv import load_dotenv

load_dotenv()

STRIPE_SECRET_KEY = os.getenv('STRIPE_SECRET_KEY')
SENDGRID_API_KEY = os.getenv('SENDGRID_API_KEY')
AWS_SECRET_ACCESS_KEY = os.getenv('AWS_SECRET_ACCESS_KEY')

Impact: These credentials are visible in your Git history and could be discovered by attackers, leading to unauthorized access to your payment processing, email services, and cloud infrastructure.

Performance Issues

PERF-01: N+1 Query Problem

Location: api/tasks.py, line 156

Impact: This will cause severe performance degradation as your user base grows. With 1000 tasks, this code makes 1001 database queries instead of 2.

Inefficient Code:

def get_tasks_with_users():
    tasks = Task.objects.all()  # 1 query
    result = []
    for task in tasks:
        user = User.objects.get(id=task.user_id)  # N queries!
        result.append({
            'task': task,
            'user': user
        })
    return result

Optimized Code:

def get_tasks_with_users():
    tasks = Task.objects.select_related('user').all()  # 1 query with JOIN
    result = []
    for task in tasks:
        result.append({
            'task': task,
            'user': task.user  # No additional query needed
        })
    return result

Immediate Action Required

Fix SQL injection vulnerability before deploying to production
Remove all hardcoded credentials and implement environment variables
Rotate all exposed API keys immediately
Implement input validation on all user-facing endpoints
Upgrade password hashing to bcrypt or Argon2
Add rate limiting to prevent brute force attacks
Implement proper error handling to avoid information disclosure

Estimated fix time: 8-12 hours for critical issues, 16-20 hours for all identified problems.

Code Security Audit Report

Executive Summary

Key Findings

Detailed Findings

Critical Issue Analysis

SEC-01: SQL Injection Vulnerability

Vulnerable Code:

Recommended Fix:

SEC-02: Exposed API Keys

Vulnerable Code:

Recommended Fix:

Performance Issues

PERF-01: N+1 Query Problem

Inefficient Code:

Optimized Code:

Immediate Action Required