Secure Upload Pipeline in Flask

Reference architecture for building safe file-ingest paths in Flask services.

security code document image archive

Separate Ingest From Processing

Your Flask request handler should do minimal synchronous work: authenticate, enforce coarse limits, persist file to object storage/quarantine, and enqueue processing jobs. Heavy parsing and conversions belong in workers, not request threads.

  • Synchronous: auth, size checks, temporary object write, job enqueue.
  • Asynchronous: antivirus, media transcode, OCR, metadata extraction, indexing.

Harden Storage and Execution Boundaries

Never trust filenames for filesystem paths. Use generated object IDs and immutable storage paths. Keep processing workers in restricted containers with read-only dependencies and minimum network access. Apply decompression and recursion limits for archives.

Expose Clear State Machine to Clients

A visible upload state machine reduces support load and lets clients implement retries or fallbacks correctly. This also improves auditability for compliance reviews.

accepted -> queued -> scanning -> transformed -> ready
                       \-> rejected(reason_code)

Recommended Tools

MIME Inspector

Compare extension and signature hints to detect type mismatches.

Open Tool

Batch MIME Classifier

Classify many files at once and highlight mismatch risks.

Open Tool

Checksum Generator & Verifier

Compute SHA256 and verify file integrity against expected hashes.

Open Tool