TSG deployed at a Xinjiang site could not reliably block QQ via HOST/SNI matching due to excessive payload-based config, so Geedge added a dedicated OICQ (QQ's underlying protocol) L7 identification capability in the app_proto_identify plugin, extracting LPI-library classification results for WeChat and OICQ as first-class 'App identification' output, released in the 22.08 TSG version.
【新疆现场】目前QQ通过HOST、SNI等无法进行阻断...已在app_proto_identify L7协议识别插件中，提取lpi库识别wechat和oicq协议的结果，输出为App识别结果...已于22.08版本发布
Defense implications
- Geedge maintains an actively-developed L7 app-classification pipeline (LPI-based) specifically for messaging apps beyond SNI/HOST matching -- circumvention protocols mimicking generic HTTPS should not assume SNI obfuscation alone defeats detection of app identity.
- The app_proto_identify component (hosted at git.mesalab.cn/appsketch/app_proto_identify) is the concrete engineering target for anyone assessing what protocol features this classifier keys on.
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.
A dedicated internal "运营商前端分析团队" (Carrier Front-end Analysis Team) produces weekly, carrier-specific traffic-analysis reports explicitly titled "新疆移动流量分析报告" (Xinjiang Mobile Traffic Analysis Report) and "新疆联通流量分析报告" (Xinjiang Unicom Traffic Analysis Report), with instances dated from at least July 2022 through March 2024. One instance (Xinjiang Mobile, 2023-05-15) reports total carrier bandwidth of 4.4Tbps (1Tbps access bandwidth), 27.34PB of weekly throughput, 123 distinct identified application-layer protocols, and a section (4.1, pages 17+) explicitly tracking server IP/location for 28 named overseas apps (BBC, Discord, ESPN, Facebook, Gmail, Google, Hulu, Instagram, Netflix, Reddit, Skype, Telegram, Twitter, Uber, WhatsApp, Wikipedia, YouTube, Zoom, etc.).
TSG's app-traffic classification relies on an updatable "App Sketch DB" component (uploaded as a versioned file to each deployment). A version bump at the Xinjiang Unicom province-exit + IDC site increased identified application-traffic share from 23% to 68% of total traffic within days, with ByteDance-attributed traffic alone rising from ~100TB/day to ~500TB/day identified, illustrating both the scale of traffic under classification and that classification itself is a frequently-updated, centrally-distributed database rather than a static build-time artifact.
A weekly "新疆移动流量分析报告" (Xinjiang Mobile Traffic Analysis Report), authored by the "运营商前端分析团队" (Carrier Front-End Analysis Team), directly ties the SNI/Server-IP overseas- APP report format to the China Mobile Xinjiang branch specifically, and states the pipeline identifies 126 distinct application-layer protocols including multi-layer tunnel nesting such as STUN.DTLS and STUN.RTP.RTCP.DTLS — i.e. it decomposes and classifies nested WebRTC-style transport stacks, not just top-level TLS/QUIC.
Side-by-side internal performance comparison across Xinjiang (China Mobile carrier deployment, hostname cmcc-xj-server1-sapp-244), Fujian (domestic), and Ethiopia (E21) explicitly references the same 'app_sketch_maat' diagnostic log format at all three sites, confirming the identical AppSketch app-fingerprinting stack is used for domestic Xinjiang surveillance and for the exported Ethiopia deployment.