How Traditional Deep Packet Analysis Works

Traditional DPI is a deterministic pipeline built around protocol decoding and content signatures. Think accurate, explainable, tunable—with strict attention to performance and evasions.

Traditional deep packet inspection

Steps in traditional deep packet analysis

1) Packet Ingest & Normalization
  • Capture path: NIC → driver → capture framework (pcap/AF_PACKET/DPDK) → user/kernel space.
  • Timestamping & stamping: L2/L3 headers parsed; VLAN/QinQ handled; MTU anomalies noted.
  • Normalization: Normalize IP/TCP ambiguities (IP options ordering, ECN/DF flags, TCP options); align fragment/overlap policy with target OS semantics. Do not alter hop count (TTL).
  • IP defragmentation: Defrag IP before TCP reassembly; log/drop pathological fragment patterns (excessive counts, tiny overlaps).
2) Flow Tracking & Reassembly
  • State table: Flows keyed by 5-tuple (src/dst IP, ports, proto) with TCP state (SYN/ACK/FIN/RST).
  • TCP stream reassembly: Handle out-of-order/overlap, SACK, retransmits; enforce explicit overlap policy (e.g., “prefer server” or “last-wins”) to mirror endpoint behavior (Windows vs. Linux/BSD).
  • Message delimiting: For UDP/message-oriented protocols, delineate records (DNS, SIP). For QUIC: only Initial metadata (ClientHello/ALPN) is visible; application frames are opaque post-handshake without decryption.
3) Protocol Identification & Decoding
  • L7 classification: Static ports + dynamic heuristics (banner bytes, magic values, ALPN/SNI where visible). Where headers are absent/obfuscated, some stacks fall back to statistical/ML classifiers on flow features.
  • Decoders: Each protocol module extracts fields (HTTP method/URI/Host/MIME; DNS qname; SMB opcodes; etc.).
  • Encrypted ClientHello (ECH): Be aware SNI visibility can disappear as ECH adoption grows; expect more flows to be metadata-only.
4) Content Transforms (Canonicalization)
  • HTTP: De-chunk, de-compress gzip/deflate (if enabled), normalize encodings;
  • Mail: De-base64, boundary handling;
  • Safety: Bound transforms with limits (max output size, decompressed:compressed ratio, wall-clock) to prevent zip/regex bombs and memory pressure.
5) Content Inspection (Signature Engines)
  • Multi-pattern prefilter: Aho–Corasick / Hyperscan, Boyer–Moore family for fast fixed-string scanning.
  • Regex/JIT verification: Only shortlisted candidates enter PCRE/JIT exact matching.
  • File type detection: Magic bytes (not extensions) for PE/ELF/Office/PDF; optional file carving for DLP/AV hand-off (subject to size/type policies).
  • Rule languages: Snort/Suricata-style rules combine where (header/payload buffers & offsets), what (content/pcre), and context (flow:established, to_server, http_uri). Emphasize anchored fast patterns over rule order for throughput.

Example (Suricata, request-side heuristic):

alert http any any -> $EXTERNAL_NET 80 (
  msg:"HTTP suspicious exe request (curl UA)";
  flow:to_server,established;
  http.uri; content:".exe"; endswith; nocase; fast_pattern;
  http.user_agent; content:"curl"; nocase;
  classtype:policy-violation; sid:100001; rev:2;
)

For response-side PE delivery, pivot to to_client and file.magic/fileext buffers instead of URI/UA.

6) Policy, Actions, and Response
  • Verdicting: allow / alert / drop / rate-limit / mirror / tag.
  • Inline vs. out-of-band: IPS inline enforces in real time; IDS out-of-band generates alerts to SIEM/SOAR.
  • DLP hooks: If PII/PCI regexes trigger, block or allow with evidence logging in pure IPS paths; inline redaction/transform is feasible in proxy/SSL-inspection architectures.
7) Performance Engineering
  • Zero-copy & batching: Avoid extra copies; batch to amortize syscalls.
  • Parallelism: RSS with flow-hashing, per-queue/core pinning, lock-free rings, NUMA-aware memory.
  • Offloads: Disable LRO/GRO for IDS accuracy unless your capture path compensates (e.g., DPDK with its own reassembly). Leverage safe NIC offloads judiciously.
  • Hot paths: C/ASM/FPGA/ASIC acceleration for multi-pattern search when available.
  • Rule hygiene: Prune overlaps; anchor patterns; prefer fixed strings before regex; keep hot buffers small.
8) Evasion & Robustness Controls
  • Normalizer parity: Match endpoint OS semantics for fragment/TCP overlap handling.
  • HTTP quirks: Tolerate mixed casing, header folding/obs-fold, odd whitespace; canonicalize encodings.
  • Fragmentation tactics: Enforce sane fragment counts/sizes; drop pathological streams.
  • Timeout hygiene: Per-flow idle/total timeouts to prevent state-table exhaustion.
  • Resource guards: Per-decoder ceilings (bytes/objects/recursion depth), decompression limits, and back-pressure; define fail-open vs. fail-closed under load.
9) Telemetry & Forensics
  • Alert records: Rule ID, flow tuple, timestamps, matched buffers/offsets, protocol fields.
  • Artifacts: Optional file extracts (hash-first; bounded sizes), plus TLS fingerprints: JA3/JA3S and JA4 variants where supported. Treat fingerprints as signals, not verdicts (collisions/library churn).
  • Metrics: PPS, CPS, rule hit-rates, latency budget; feed to capacity planning.
10) Limitations (Why AI Helps Later)
  • Encryption opacity: Without TLS inspection, visibility is mostly metadata (QUIC/TLS1.3 opaque after handshake; ECH may hide SNI).
  • Signature drift: Novel malware/protocol tweaks can bypass static rules.
  • Cost of completeness: Full decoding + decompression + regex at line rate is expensive—prioritize hot paths and bound work.
11) Operational Add-Ons (Often Overlooked)
  • Key management / TLS inspection: If using lawful intercept or enterprise TLS decryption, define key custody, rotation, scope limits, and retention (hash artifacts; avoid plaintext persistence).
  • Audit posture: Version rulepacks, record engine/config hashes, and capture sampling policies for repeatability.

Quick Deployment Checklist

  • Place sensors at egress/ingress and critical east-west chokepoints.
  • Start in IDS/alert-only, baseline FPs, then graduate select rules to drop.
  • Enable HTTP normalization; ensure TCP/fragment overlap policy matches your endpoints.
  • Disable LRO/GRO (or compensate in DPDK); verify per-core RSS pinning.
  • Bound transforms (gzip/MIME) and set per-decoder ceilings.
  • Tune top-talker allowlists and disable dead rules; measure latency under load.