A sapp performance-test report benchmarks the traffic engine under ~11 Gbps / ~330 Kpps of test-instrument load, reporting sapp CPU usage averaging 932.53% (i.e. roughly 9-11 cores) with only 0.053% packet loss at the functional-endpoint receive stage, and separately reports resource usage for a distinct shaping component named "nirvana" (整形nirvana, CPU avg 85.15%) — a component name not previously seen in this corpus's product taxonomy, suggesting sapp's traffic-shaping stage is a separate named module worth tracking as a taxonomy candidate.
sapp cpu占用率,最大值为1109%,最小值为17.4%,平均值为932.53% ... 6.2. 整形nirvana资源使用 ... nirvana cpu占用率最大值为127.3%,最小值为2.3%,平均值为85.15% ... sapp接收到的流量平均每秒约等于10.83Gbps,有丢包情况(0.053%)
Related findings
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.
An internal MESA Lab report (2021-06-25) documents a live test in which a second sapp instance ('sapp B') receives fully decrypted plaintext HTTP traffic via a Unix domain socket from a third-party TLS decryption platform, while sapp A separately captures raw ciphertext via the mrzcpd driver. 24 hours of the decrypted logs (319,569 HTTP records) show the top intercepted destinations are Facebook, Twitter, Google/YouTube and Instagram, with client IPs traced to residential China Telecom/Unicom/Mobile subscribers in Guangdong, Zhejiang and other provinces.
Raw structured DNS event logs (dated 2021-08-23) captured from what appears to be a GFW-adjacent DNS monitoring/injection pipeline use a schema purpose-built for DNS response forgery ('CHEAT_TYPE', 'CHEAT_RCODE', 'CHEAT_STRATEGY', 'CHEAT_RR', 'INJECTED_PKT_FILE' fields) alongside per-query geolocation; sampled records show lookups for facebook.com and tiktokv.com originating from residential China Telecom/Unicom/Mobile subscriber IPs in Guangdong, Zhejiang, Anhui and other provinces, resolving against both domestic and foreign (8.8.8.8, OpenDNS) resolvers.
A 2023 MESA Lab monthly report describes the 'TF' project's active-defense work: test cases for serial ('串联') HTTP hijack/tamper and parallel ('并联') DNS race-injection ('DNS抢答'), performance tuning that scaled active-defense capacity from 3 to 5 units, converting two existing TSG boxes to active-defense mode, and rewriting the active-defense flow-control logic to no longer depend on sapp.
The same 224-column TSG per-session log schema carries a full TLS- interception field set — proxy_pinning_status, proxy_intercept_status, proxy_passthrough_reason, proxy_cert_verify, proxy_intercept_error, sc_rsp_raw and sc_rsp_decrypted (raw vs. decrypted server response content) — plus ssl_esni_flag and ssl_ech_flag (explicit ECH/ESNI-usage flags), ssl_ja3_hash/ssl_ja3s_hash, and ssh_hassh (SSH client fingerprinting), confirming certstore-style MITM interception, ECH/ESNI detection, and TLS/SSH fingerprinting are all first-class fields logged on every session, not experimental add-ons.