When engineering teams need to satisfy SOC 2 or HIPAA file-upload scanning controls on AWS S3 or Google Cloud Storage, the default reflex is to wrap ClamAV in a container. Here is why traditional AV signatures fail on modern weaponized documents—and how QuickSand's in-memory stream unpacker solves it.
| Metric / Threat Vector | ClamAV (Container / BucketAV) | QuickSand 2.3 (MalwareTracker API) |
|---|---|---|
| Avg Scan Latency (PDF / Office) | 1,200 ms – 4,500 ms | 25 ms – 65 ms (In-Memory) |
| Serverless Memory Footprint | 2,048 MB – 4,096 MB (signature DB in RAM) | < 256 MB (Zero cold-start bloat) |
| Encrypted Office Lures (VelvetSweatshop) | ❌ Blind to encrypted streams | ✓ Auto-decrypts & unpacks streams |
| Nested PDF Filter Chains (/Flate + /ASCII85) | ⚠️ Partial / easily bypassed | ✓ Recursive filter chain decoding |
| VBA Stomping & Excel 4.0 XLM Macros | ⚠️ Signature-dependent | ✓ Structural stream & p-code inspection |
AI / RAG Hidden Prompt Injections (3 Tr) |
❌ Not supported | ✓ Built-in AI/RAG Firewall rules |
Modern document exploits (such as CVE-2025-24071, CVE-2025-8088, and CVE-2023-38831) hide inside deeply nested container streams: OLE2 storages compressed inside RTF hex blocks, AES-encrypted Office packages using default passwords like VelvetSweatshop, or multi-stage PDF filter chains. QuickSand recursively decodes these containers in pure, memory-safe Python and applies 239+ targeted YARA exploit and behavioral signatures directly against the decoded streams.
Replace heavy ClamAV workers with a single HTTP call to POST /v1/scan?store=false or deploy our 1-click Cloud Run / Lambda Bucket Guard. Start with 1,000 free scans/month—no credit card required.