The IPReuse/mctrl repo implements an "IP reuse" (IP复用) NAT-policy controller managing SNAT/DNAT policy tables (DNAT_POLICY) that was refactored multiple times in January 2019 specifically to call "MAAT's new interface", tying NAT-based traffic redirection/control directly to the MAAT rule engine.

An internal TSG operations/troubleshooting manual lays out TSG's full traffic pipeline (NIC -> mrzcpd/marsio capture driver -> sapp DPI engine -> firewall/proxy(KNI->TFE)/active-defense/WAN-NAT policy branches) and shows engineers using maat_redis_tool to pull the live Redis-synced blocking policy tables (TSG_SECURITY_COMPILE, TSG_OBJ_IP_ADDR, TSG_OBJ_APP_ID) and filter them by numeric policy/object ID to debug why a block rule isn't firing.

The internal 'MAAT网络流处理配置统一描述框架' engineering manual (v3.1.20, author 郑超, 2021) documents MAAT's Redis-synced rule-compilation framework and its RuleScan/Hyperscan-based pattern-matching engine (libmaatframe.so / librulescan), and records that RuleScan's fast-scan feature caused a production outage on 2019-03-19 and has been disabled ever since.

Sample MAAT rule-table exports (maat_cfg1, dated 2018-06-16/07-10: APP_DOMAIN, APP_POLICY, LIMIT_DOMAIN) show the on-disk schema for MAAT app/domain policy tables — numeric region/group/domain IDs, an app-name field, numeric match flags, and a KEY=VALUE;KEY=VALUE region string carrying APP_ID/DOMAIN_ID — with every sample row using the identical app-name string 'circuitiOS'. The tiny, sequential-ID row count (1-2 entries per table) suggests this is likely test/demo fixture data rather than a live production ruleset, but the repeated app-name string is worth flagging for correlation against known iOS circumvention clients.

pangu_valve.conf explicitly binds the 'PanguValve' traffic-control daemon (阀门, ASMIS_PROC_NAME=Pangu/PanguValve) to the Astana, Kazakhstan (K18) site — REMOTE_DIR=ASTANA and a MAAT_EFFECTIVE_RANGE tag of location=Astana — and configures it to receive live rule updates from a MAAT Redis backend rather than static files, tying this enforcement component directly to a real-time MAAT rule-dispatch pipeline at a named export deployment.

pg_valve_deal.cpp / pg_valve_main.cpp source shows the 'valve' (pangu_valve) component implements a MAAT-fed, hierarchical (region/group -> dataset -> domain-ID) rule-dispatch engine: each incoming rule line carries a keyword field plus expr_type/match_method/is_hexbin matching flags, an ADD/DEL action, and a percentage-based 'Droprate' throttle parsed out of a semicolon-delimited region string (DOMAIN_ID=...;config_id=...;Droprate=...) — i.e. a keyword/domain-based engine that can partially throttle traffic, not just binary-block it.

The same T1/NTC node config (ntcconf/t1conf/main.conf, K18/Astana/Kazakhtelecom) exposes concrete DPI enforcement toggles: a SYNACK_OR_RST switch and SEND_INJECT_PKT flag governing active TCP-response/packet-injection behavior; ASN- and IP-based blocklists (ASN_MAAT, IPD_DYN_MAAT, IPD_STATIC_MAAT) refreshed from MAAT/Redis on a 1-second effect interval; a dynamic blacklist with a 180s timeout; explicit protocol-blocking switches for BitTorrent (DHT/uTP) and eMule (Kad); and TLS metadata harvesting including certificate SAN fields (NTC_SSL_COLLECT, collect_san_sw=1) streamed to a Kafka topic.