The StegoTorus-HTTP module returns '200 OK' for non-existent URIs, produces no response to HEAD, OPTIONS, DELETE, and TEST method requests, and omits xref tables from generated PDF files. Using httprecon with 9 request types, the StegoTorus server is distinguishable from any real HTTP server by an OB (resource-limited) censor that records port-80 destination IPs at line speed and fingerprints them offline.

Hypothetical fixed parrot systems (SkypeMorph+ and StegoTorus+) that correct all passive detection failures remain unambiguously detectable via active and proactive attacks (Table II). Supernode cache flushing and TCP control channel manipulation — e.g., sending RST causes genuine Skype to drop the call immediately while parrots produce no reaction — distinguish them from genuine Skype because the parrot cannot actually execute Skype protocol logic.

§VII-B, §VII-C, Table II detection

CensorSpoofer's IP-spoofing architecture has an unfixable detection flaw: the spoofer cannot receive or respond to SIP probe messages (INVITE, invalid SIP, BYE for random call IDs) directed at the spoofed dummy host, making four SIP probing tests (Table IV) reliably distinguish CensorSpoofer from genuine Ekiga at local-censor cost. The nmap-based dummy-host selection algorithm identifies only 12.1% of 10,000 random IPs as candidate hosts; SIP probing of 10,000 random addresses found zero IETF-based VoIP clients.

§IX, Table IV detection

The authors enumerate 12 requirements a parrot system must satisfy simultaneously (Correct, SideProtocols, IntraDepend, InterDepend, Err, Network, Content, Patterns, Users, Geo, Soft, OS) while a censor need detect only one failure. They conclude 'unobservability by imitation is a fundamentally flawed approach' and recommend embedding covert traffic in genuine encrypted payloads of a real running protocol (e.g., FreeWave in Skype voice, SWEET in email), which constrains detection to OM adversaries performing large-scale multi-flow analysis.

§XI defense

SkypeMorph and StegoTorus-Embed fail 5 of 9 standard Skype identification tests (Table I), including the TCP control channel (T9), SoM packet headers (T3), and periodic message exchanges (T6/T7). All failures are detectable by a local (LO) passive censor at line speed without requiring ISP-scale statistical analysis.

§VII-A, Table I detection

The September 2025 leak of ~600 GB from Geedge Networks and the MESA Lab (Institute of Information Engineering, Chinese Academy of Sciences) is the largest known document disclosure from the GFW vendor ecosystem. It establishes a direct lineage: MESA Lab (founded 2012 by Fang Binxing's team, annual contracted revenue >35M RMB by 2016) spun out Geedge Networks in 2018, with MESA alumni filling key engineering roles (e.g. Zheng Chao as CTO). The leak includes ~64 GB of MESA git repositories, ~35 GB of MESA internal documents, ~15 GB of Geedge internal documents, and a ~3 GB Jira export — providing direct access to source code, work logs, and internal communications behind GFW R&D.

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Internal Geedge documents confirm active contracts to deploy GFW-derived censorship and surveillance infrastructure in Myanmar, Pakistan, Ethiopia, Kazakhstan, and at least one additional unidentified country under the Belt and Road framework, in addition to domestic deployments in Xinjiang, Jiangsu, and Fujian. The exported product (the Tiangou Secure Gateway / TSG line) is not a stripped-down export variant — leaked TSG documentation shows DPI, active-probing, ML classifiers, and granular per-region traffic control rules that mirror the domestic GFW capability set.

2025-geedge-mesa-leak §5, §6 dpiactive-probingml-classifiersni-blockingdns-poisoningfully-encrypted-detecttraffic-shape

InterSecLab frames the Geedge/TSG export program as the commoditization of national firewall capability: rather than each censor state independently developing detection infrastructure, they contract Geedge for a turnkey system incorporating the cumulative R&D of MESA Lab (>10 years, National Science and Technology Progress Award winners). This structural shift means the marginal cost for an autocratic government to acquire GFW-grade censorship is now a procurement decision, not a multi-year engineering program. The report identifies that Geedge's relationship with the MESA Lab gives customer states indirect access to ongoing academic R&D improvements, not just a static product.

2025-interseclab-internet-coup §2, §6–§7 (InterSecLab report) dpiactive-probingml-classifier

InterSecLab's 76-page analysis of the Geedge/MESA leak (based on nine months of indexing and translating >100,000 documents) characterizes the Tiangou Secure Gateway (TSG) product line as a commercially deployable detection stack that combines deep packet inspection, real-time mobile subscriber monitoring, active probing, ML-based traffic classifiers, and granular per-region rule sets. TSG is not a research prototype — leaked documentation includes deployment timelines and client government interactions for Kazakhstan, Ethiopia, Pakistan, Myanmar, and one unnamed country, with censorship rules explicitly tailored to each region.

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Justice for Myanmar documents that Geedge Networks supplied Myanmar's military junta with GFW-derived surveillance and censorship infrastructure under Belt and Road frameworks following the February 2021 coup. The deployed system (Tiangou Secure Gateway / TSG) incorporates the same DPI, active-probing, and ML-classifier capabilities as the domestic Chinese GFW, giving Myanmar one of the most technically capable censorship systems in Southeast Asia.

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The paper proposes modeling HCS undetectability as a simulation-based cryptographic distinguishability problem: if traces produced by the real-world HCS channel are computationally indistinguishable from ideal-world application-channel traces (T_HCS ∼ T_simulator), the HCS achieves provable security against any adversary — passive or active. The simulation paradigm is parametric in adversary capability, meaning a single proof covers the full spectrum from passive SNI monitoring to active DPI.

2025-pereira-position §1, §2 dpitraffic-shapeactive-probing