A single harvesting script running for 9 days on one free Amazon EC2 instance verified 3,101 working VPN Gate servers by testing 44,039 IP addresses, demonstrating that VPN Gate's collective defense mechanism — which relies on detecting automated scanning patterns — can be fully bypassed by routing successive queries through previously verified VPN servers. This result implies that a censor could, with no collateral damage, essentially completely shut down VPN Gate by blocking all verified servers.

Salmon simulations show that a censor with agents comprising 1% of 10,000 users can block at most 4A servers (one block per agent per full group) against a system with 1,000–2,000 servers; server groups with a hard cap of M=10 users that fill entirely with legitimate users before any agent joins become permanently invincible to server discovery. The censor's optimal strategy is to ensure each agent is always alone in its group at the time of joining, which requires knowing the user arrival rate — information Salmon withholds by not publishing user statistics.

§5.1 / §5 evaluation

Without recommendation-tree grouping logic, a censor starting agents at trust level 6 who each recommend 1–2 additional agents (requiring 4–5 months of waiting) can cut off over 95% of users even at agent percentages in the 15–30% range, as shown in Figure 6. With recommendation-tree grouping enforced, the same attack at equivalent agent fractions produces dramatically lower service disruption because agents cluster among themselves rather than spreading across innocent user groups.

§5.3 / Figure 6 detection

Salmon's trust-level mechanism (7 discrete levels; promotion from level n to n+1 requires 2^(n+1) days; banning triggered when suspicion exceeds T=1/3) reduces the fraction of users cut off by an attacking censor by more than 3× relative to rBridge under the same agent-percentage conditions. Simulations with 10,000 users (1–10% censor agents) and 1,000–2,000 servers show that trust levels keep high-seniority innocent users isolated from newer users where agents concentrate.

§5.2 / §3.6 defense

Salmon's defense against the active zig-zag attack — where a censor blocks a known server to force users onto new ones and watches for correlated reassignments — requires both per-user authentication (unique login credentials per server so unauthorized probes receive a plausible HTTPS page) and traffic camouflage. Without authentication, the server must respond as a functioning proxy to any connection, fully exposing itself to the censor; without camouflage, even a rejected connection may reveal the server's nature.

§3.10 defense

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.

2025-interseclab-internet-coup §3–§5 (InterSecLab report) dpiactive-probingml-classifiersni-blockingip-blockingtraffic-shapefully-encrypted-detect

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.

2025-jfm-silk-road-surveillance §3, §5 dpisni-blockingip-blockingtraffic-shapeml-classifieractive-probing

Snowflake's sustained operation in heavily censored regions demonstrates that WebRTC must remain accessible to users, which in turn requires that TURN servers remain unblocked to support NAT traversal for peer-to-peer WebRTC connections. This transitive unblockability makes TURN service providers viable rendezvous channels for the Bridge Distribution Problem.

2025-vilalonga-extended §3.2 Bridge Distribution Problem ip-blockingactive-probing

TURN servers used by major applications such as Facebook Messenger for media relay are hypothesized to be less likely blocked in censored regions due to collateral damage to legitimate WebRTC traffic. Providers like Cloudflare, Metered Video, and ExpressTURN supply geographically distributed TURN infrastructure that can be used without any special configuration by a censorship evasion system.

2025-vilalonga-extended §1 Introduction & Background dpiactive-probingip-blocking

Traffic splitting across N TURN proxies (1 ≤ N ≤ M) is hypothesized to resist active probing because each TURN server responds to probing requests identically to a regular TURN server, providing no distinguishing signal. Additionally, proxy ephemerality combined with splitting allows on-the-fly migration to new proxies when existing ones are blocked, maintaining connectivity even under partial blocking.

2025-vilalonga-extended §3.3 Censorship Evasion active-probingip-blockingdpi

The paper defines Unauthenticated Push (UP) channels as a distinct archetype from signaling/rendezvous channels, characterized by three properties: strictly unidirectional delivery, no client authentication or account association required, and higher bandwidth (kilobytes to megabytes) to support software updates rather than just minimal proxy-address exchanges. This design deliberately shifts operational-security burden onto senders to approach receiver anonymity.

2025-vines-extended §1–§3 ip-blockingactive-probing