Files
claudetools/docs/database/SQL_INJECTION_FIXES_VERIFICATION.txt
Mike Swanson 06f7617718 feat: Major directory reorganization and cleanup
Reorganized project structure for better maintainability and reduced
disk usage by 95.9% (11 GB -> 451 MB).

Directory Reorganization (85% reduction in root files):
- Created docs/ with subdirectories (deployment, testing, database, etc.)
- Created infrastructure/vpn-configs/ for VPN scripts
- Moved 90+ files from root to organized locations
- Archived obsolete documentation (context system, offline mode, zombie debugging)
- Moved all test files to tests/ directory
- Root directory: 119 files -> 18 files

Disk Cleanup (10.55 GB recovered):
- Deleted Rust build artifacts: 9.6 GB (target/ directories)
- Deleted Python virtual environments: 161 MB (venv/ directories)
- Deleted Python cache: 50 KB (__pycache__/)

New Structure:
- docs/ - All documentation organized by category
- docs/archives/ - Obsolete but preserved documentation
- infrastructure/ - VPN configs and SSH setup
- tests/ - All test files consolidated
- logs/ - Ready for future logs

Benefits:
- Cleaner root directory (18 vs 119 files)
- Logical organization of documentation
- 95.9% disk space reduction
- Faster navigation and discovery
- Better portability (build artifacts excluded)

Build artifacts can be regenerated:
- Rust: cargo build --release (5-15 min per project)
- Python: pip install -r requirements.txt (2-3 min)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-18 20:42:28 -07:00

152 lines
4.8 KiB
Plaintext

SQL INJECTION VULNERABILITY FIXES - VERIFICATION GUIDE
=====================================================
FILES MODIFIED:
--------------
1. api/services/conversation_context_service.py
2. api/routers/conversation_contexts.py
CHANGES SUMMARY:
---------------
FILE 1: api/services/conversation_context_service.py
----------------------------------------------------
Line 13: ADDED import
OLD: from sqlalchemy import or_, text
NEW: from sqlalchemy import or_, text, func
Lines 178-201: FIXED search_term SQL injection
OLD:
if search_term:
fulltext_match = text(
"MATCH(title, dense_summary) AGAINST(:search_term IN NATURAL LANGUAGE MODE)"
).bindparams(search_term=search_term)
query = query.filter(
or_(
fulltext_match,
ConversationContext.title.like(f"%{search_term}%"), # VULNERABLE
ConversationContext.dense_summary.like(f"%{search_term}%") # VULNERABLE
)
)
NEW:
if search_term:
try:
fulltext_condition = text(
"MATCH(title, dense_summary) AGAINST(:search_term IN NATURAL LANGUAGE MODE)"
).bindparams(search_term=search_term)
like_condition = or_(
ConversationContext.title.like(func.concat('%', search_term, '%')), # SECURE
ConversationContext.dense_summary.like(func.concat('%', search_term, '%')) # SECURE
)
query = query.filter(or_(fulltext_condition, like_condition))
except Exception:
like_condition = or_(
ConversationContext.title.like(func.concat('%', search_term, '%')),
ConversationContext.dense_summary.like(func.concat('%', search_term, '%'))
)
query = query.filter(like_condition)
Lines 210-220: FIXED tags SQL injection
OLD:
if tags:
tag_filters = []
for tag in tags:
tag_filters.append(ConversationContext.tags.like(f'%"{tag}"%')) # VULNERABLE
if tag_filters:
query = query.filter(or_(*tag_filters))
NEW:
if tags:
# Use secure func.concat to prevent SQL injection
tag_filters = []
for tag in tags:
tag_filters.append(
ConversationContext.tags.like(func.concat('%"', tag, '"%')) # SECURE
)
if tag_filters:
query = query.filter(or_(*tag_filters))
FILE 2: api/routers/conversation_contexts.py
--------------------------------------------
Lines 79-90: ADDED input validation for search_term
NEW:
search_term: Optional[str] = Query(
None,
max_length=200,
pattern=r'^[a-zA-Z0-9\s\-_.,!?()]+$', # Whitelist validation
description="Full-text search term (alphanumeric, spaces, and basic punctuation only)"
),
Lines 86-90: ADDED validation for tags
NEW:
tags: Optional[List[str]] = Query(
None,
description="Filter by tags (OR logic)",
max_items=20 # Prevent DoS
),
Lines 121-130: ADDED runtime tag validation
NEW:
# Validate tags to prevent SQL injection
if tags:
import re
tag_pattern = re.compile(r'^[a-zA-Z0-9\-_]+$')
for tag in tags:
if not tag_pattern.match(tag):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid tag format: '{tag}'. Tags must be alphanumeric with hyphens or underscores only."
)
TESTING THE FIXES:
-----------------
Test 1: Valid Input (should work - HTTP 200)
curl "http://172.16.3.30:8001/api/conversation-contexts/recall?search_term=test" \
-H "Authorization: Bearer $JWT_TOKEN"
Test 2: SQL Injection Attack (should be rejected - HTTP 422)
curl "http://172.16.3.30:8001/api/conversation-contexts/recall?search_term=%27%20OR%20%271%27%3D%271" \
-H "Authorization: Bearer $JWT_TOKEN"
Test 3: Tag Injection (should be rejected - HTTP 400)
curl "http://172.16.3.30:8001/api/conversation-contexts/recall?tags[]=%27%20OR%20%271%27%3D%271" \
-H "Authorization: Bearer $JWT_TOKEN"
KEY SECURITY IMPROVEMENTS:
-------------------------
1. NO F-STRING INTERPOLATION IN SQL
- All LIKE patterns use func.concat()
- All parameterized queries use .bindparams()
2. INPUT VALIDATION AT ROUTER LEVEL
- Regex pattern enforcement
- Length limits
- Character whitelisting
3. RUNTIME TAG VALIDATION
- Additional validation in endpoint
- Prevents bypass of Query validation
4. DEFENSE IN DEPTH
- Multiple layers of protection
- Validation + Parameterization + Database escaping
DEPLOYMENT NEEDED:
-----------------
These changes are in D:\ClaudeTools but need to be deployed to the running API server at 172.16.3.30:8001
After deployment, run: bash test_sql_injection_simple.sh