Conjure registration is unidirectional: the client embeds a steganographic ciphertext tag in a complete HTTPS request payload encrypted under a Diffie-Hellman shared secret, and the station passively observes it without sending any reply or spoofing packets. This design makes registration flows indistinguishable from normal HTTPS traffic and enables 25% more viable registration decoys than TapDance by removing the requirement to exclude decoys with short TCP windows or connection timeouts.

Conjure achieves 20% lower latency, 14% faster download bandwidth, and over 1400 times faster upload bandwidth compared to TapDance on a 20 Gbps ISP testbed. TapDance upload is throttled to approximately 0.1 Mbps because it must reconnect for every 32 KBytes sent; Conjure maintains a single persistent connection. At the 99th percentile, Conjure is 281 ms (92%) faster than TapDance.

§6.1 evaluation

For IPv4, Conjure derives both the phantom host IP and TCP port from the client's registration seed, making exhaustive scanning infeasible: a censor enumerating from a /10 of potential client source IPs (4 million addresses) against a /16 of phantom IPs (65K addresses) across all 65K ports would require approximately 50 years at 10 Gbps with ZMap. Phantom hosts are additionally firewalled to respond only to the registering client IP, defeating single-vantage-point ZMap scans.

§6.2.1 defense

IPv6 phantom addresses drawn from an ISP's /32 prefix provide 2^96 potential addresses, making exhaustive enumeration and pre-image attacks computationally infeasible. Analysis of 4013 observed IPv6 addresses in a deployed /32 found approximately 75 bits of entropy (out of a maximum 96), with enough overlap with legitimate address distributions that blocking high-entropy addresses would produce significant collateral damage to real IPv6 services.

§6.2.2 defense

Conjure phantom hosts resist active probing by requiring knowledge of a per-client registration seed secret before the station responds. A ZMap scan of over 1 billion random IP/port combinations found that 99.4% of responding servers returned no data after a random OSSH-style probe and 7.42% closed with TCP RST — behavior indistinguishable from Conjure's OSSH transport — meaning censors face steep false-positive rates when attempting to identify phantom proxies via active probing.

§7.1 defense

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.

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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.

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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.

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