Status: PRODUCTION BLOCKED - Critical issues found
This audit reveals multiple critical issues, logical errors, race conditions, and security vulnerabilities that must be addressed before production deployment.
- Location:
api/dependencies.py:16-19,api/routers/convert.py:64-67 - Issue: No proper transaction isolation, potential for dirty reads
- Impact: Data corruption under concurrent load
- Fix Required:
# Current problematic code in dependencies.py
async def get_db():
async for session in get_session():
yield session # No isolation level set!
# Should be:
async def get_db():
async for session in get_session():
async with session.begin():
yield session- Location:
api/routers/convert.py:50-73 - Issue: Job ID generated before database commit - duplicate IDs possible
- Impact: Job collision, data loss
- Fix Required: Use database-generated UUIDs or implement proper locking
- Location:
api/services/storage.py:100-108 - Issue:
exists()check is async but not atomic with subsequent operations - Impact: TOCTOU (Time-of-check-time-of-use) vulnerability
- Fix Required: Implement atomic file operations with proper locking
- Location:
worker/tasks.py:142-212 - Issue: Temporary directories not cleaned up on exception
- Impact: Disk space exhaustion
- Fix Required:
# Current issue - tempdir not cleaned on exception
with tempfile.TemporaryDirectory() as temp_dir:
# If exception occurs here, cleanup may fail
# Should use try/finally or contextlib.ExitStack- Location:
worker/tasks.py:149-150,173-176 - Issue: Synchronous file I/O in async context
- Impact: Event loop blocking, performance degradation
- Fix Required: Use
aiofilesfor all file operations
- Location:
api/services/job_service.py:186-188 - Issue: Direct SQL construction without proper parameterization
- Impact: Potential SQL injection if parameters not validated
# Vulnerable pattern detected
status_stmt = count_stmt.where(Job.status == status) # status comes from user input- Location:
api/utils/validators.py:74-82 - Issue:
os.path.realpath()called AFTER validation checks - Impact: Directory traversal possible with symlinks
- Fix: Validate AFTER canonicalization
- Location:
api/routers/convert.py - Issue: No validation of input file size before processing
- Impact: DoS via large file uploads
- Fix: Add size checks in
validate_input_path()
- Location:
worker/tasks.py:122-136 - Issue: Full exception details sent to webhooks
- Impact: Information disclosure
send_webhook(job.webhook_url, "error", {
"error": str(e), # Full error details exposed!
})- Location:
api/routers/convert.py:120-143 - Issue:
/analyzeand/streamendpoints not rate limited - Impact: Resource exhaustion attacks
- Location:
api/services/job_service.py:66-81 - Issue: Progress interpolation assumes linear processing
- Impact: Misleading progress reporting
# Incorrect assumption of linear progress
step_duration = total_duration * (step / 100) # Wrong!- Location:
worker/tasks.py:60-69 - Issue: No exponential backoff, no max retries
- Impact: Webhook endpoint flooding
- Location:
worker/tasks.py:383-384 - Issue: Validation happens AFTER processing
- Impact: Wasted resources on invalid output
- Location:
api/utils/validators.py:419-425 - Issue: Integer overflow possible with large values
value = int(bitrate[:-1]) * 1000000 # Can overflow!- Location:
api/services/job_service.py:134-153 - Issue: Multiple queries in loop for job statistics
- Impact: Database performance degradation
- Issue: No indexes on frequently queried columns
- Tables:
jobs.api_key,jobs.status,jobs.created_at - Impact: Slow queries under load
- Location:
worker/tasks.py:173-176 - Issue: Entire file loaded into memory
async for chunk in stream:
f.write(chunk) # No chunk size limit!- Location:
api/services/storage.py - Issue: New connections created for each operation
- Impact: Connection overhead
cryptography==43.0.3 # CVE pending
Pillow==11.0.0 # Known security issues
- Issue: Sub-dependencies not locked
- Impact: Supply chain attacks
- Location:
worker/utils/ffmpeg.py:729-732 - Issue: Division by zero if duration is 0
progress['percentage'] = (total_seconds / self.total_duration) * 100 # Crash!- Location:
api/utils/validators.py:124 - Issue: Regex doesn't handle unicode properly
SAFE_FILENAME_REGEX = re.compile(r'^[a-zA-Z0-9\-_]+(\.[a-zA-Z0-9]+)?$')
# Fails on valid unicode filenames!- Location:
api/routers/convert.py - Issue: No check for
max_concurrent_jobsbefore creating job - Impact: Quota bypass
- Issue: No WebSocket connection cleanup on client disconnect
- Impact: Memory leak
- Redis/Valkey health not checked
- PostgreSQL connection pool not monitored
- Storage backend availability not verified
- Storage backends can fail silently
- No fallback mechanism
- Job processing can be duplicated across workers
- No distributed lock for critical sections
- SSRF attacks possible
- Internal network scanning
- Invalid codec combinations accepted
- Incompatible container/codec pairs
- Users can request unlimited resolution/bitrate
- CPU/Memory limits not enforced
# worker/main.py:41
task_acks_late=True, # With task_reject_on_worker_lost=True causes issues!- Despite validation, metadata values not escaped
# worker/utils/ffmpeg.py:619
cmd.extend(['-metadata', f"{key}={value}"]) # Value not escaped!- Validation time varies based on key validity
- Allows key enumeration
# Different path separators for different backends not handled
"s3://bucket/path" vs "local:///path" vs "nfs://server/path"- Fix SQL injection vulnerabilities
- Implement proper path traversal prevention
- Add input size validation
- Fix information disclosure in errors
- Implement distributed locking
- Fix transaction isolation
- Resolve race conditions
- Implement atomic file operations
- Add database constraints
- Fix webhook retry logic
- Add database indexes
- Implement connection pooling
- Fix N+1 queries
- Optimize file streaming
- Add caching layer
- Add circuit breakers
- Implement health checks
- Fix memory leaks
- Add resource limits
- Improve error handling
from sqlalchemy.ext.asyncio import AsyncSession
from contextlib import asynccontextmanager
@asynccontextmanager
async def get_db_transaction():
async with AsyncSessionLocal() as session:
async with session.begin():
yield sessionimport aioredis
from contextlib import asynccontextmanager
@asynccontextmanager
async def distributed_lock(key: str, timeout: int = 30):
redis = await aioredis.create_redis_pool('redis://localhost')
try:
lock = await redis.set(f"lock:{key}", "1", expire=timeout, exist=False)
if not lock:
raise LockAcquisitionError()
yield
finally:
await redis.delete(f"lock:{key}")from circuit_breaker import CircuitBreaker
storage_breaker = CircuitBreaker(
failure_threshold=5,
recovery_timeout=60,
expected_exception=StorageError
)
@storage_breaker
async def storage_operation():
# Storage operations here
passfrom fastapi import Request, HTTPException
async def validate_request_size(request: Request):
content_length = request.headers.get('content-length')
if content_length and int(content_length) > MAX_UPLOAD_SIZE:
raise HTTPException(413, "Request too large")def calculate_progress(current_time: float, start_time: float,
total_duration: float) -> float:
if total_duration <= 0:
return 0.0
elapsed = current_time - start_time
# Use actual processing metrics, not linear assumption
return min(100.0, (elapsed / total_duration) * 100)- Error Rates: Track 5xx errors, should be <0.1%
- P99 Latency: Should be <5s for conversion endpoints
- Database Pool Utilization: Should be <80%
- Memory Usage: Monitor for leaks, should be stable
- Disk Usage: Monitor temp directory growth
- Concurrent Jobs: Ensure limits are enforced
- Failed Jobs: Track and alert on >5% failure rate
- All SQL queries use parameterized statements
- All file operations use atomic primitives
- All async operations are truly async
- All user inputs are validated and sanitized
- All errors are logged without exposing sensitive data
- All resources have defined limits
- All external calls have timeouts
- All webhooks have retry limits
- All paths are canonicalized before validation
- All transactions use proper isolation levels
Current State: NOT PRODUCTION READY Critical Issues Found: 34 Estimated Fix Time: 4 weeks Risk Level: HIGH
The codebase has good structure but contains multiple critical security vulnerabilities, race conditions, and resource management issues that must be resolved before production deployment.
Recommendation: BLOCK PRODUCTION DEPLOYMENT until at least Phase 1 and 2 fixes are complete.
Generated: January 2025 Severity: CRITICAL Action Required: IMMEDIATE