Quack's echo-server technique achieves vantage-point coverage of 4,458 autonomous systems across 184 countries — nearly an order of magnitude more than OONI's 678 ASes in 113 countries — while processing over 500 domain-server pairs per second from a single measurement machine. The public IPv4 space contains over 50,000 active echo servers daily, with 47,276 stable over 24 hours.

Across all tested countries, circumvention and anonymization tools are the most consistently blocked category: www.hotspotshield.com is blocked in 5 of 13 detected censoring countries, and three Tor Project properties (bridges.torproject.org, www.torproject.org, ooni.torproject.org) each appear in the top-10 most broadly blocked domains. Collateral damage is also documented — Iran blocks psiphonhealthyliving.com as a substring match for the psiphon.ca circumvention domain.

§6.2, Figure 12 evaluation

By comparing echo-server (bidirectional) versus discard-server (inbound-only) results across 11 censoring countries, Quack finds that only 4 countries (China, Egypt, Jordan, Turkey) also block inbound traffic; the remaining 7 apply DPI exclusively to outbound data. Direction-sensitive blocking is a confirmed capability of deployed middleboxes.

§6.3 detection

Iran's number of blocked domains increases from 25 (HTTP keyword blocking) to 374 (TLS SNI-based blocking) — a 15× increase — with the newly blocked domains shifting composition to predominantly News, Human Rights, and Anonymization tools. This demonstrates that Iran maintains a distinct, more aggressive SNI blocklist for HTTPS traffic that is largely invisible to HTTP-only measurement.

§6.4 detection

Stateful DPI disruption in censoring countries disengages within approximately 100 seconds in 99.9% of observed cases, with roughly 50% of servers recovering within 60 seconds. A 2-minute empirically determined delay is sufficient to distinguish stateful per-connection blocking from persistent blocking when retrying with innocuous payloads against the same server.

§6.1, Figure 3 detection

The largest single source of censored domains in the GNL is MESA lab's SNI monitoring dataset (E21-SNI-Top200w.txt) containing 57,362 censored domains, and E21-SNI-Top120W-20221020.txt with 36,467 domains—totaling over 93K domains from network tap data alone for a single country (E21 = Ethiopia per InterSecLab attribution). A separate Xinjiang dataset (XJ-CUCC-SNI-Top200w.txt) contains 13,604 domains. These datasets "do not seem to come from popular domain lists, and instead appear to be gathered from network taps," confirming that Geedge builds censorship target lists directly from passive traffic observation.

2026-sheffey-geedge §4.2, Table 3 dpisni-blockingmeasurement-platform

Of 6,915,266 domains extracted from the 572 GiB Geedge Networks Leak (GNL), 298,955 censored domains (93.7% of all GNL-censored domains) appear in neither Tranco top-1M nor CitizenLab test lists. Measurements across China (Guangzhou/Nanjing), Myanmar, Pakistan, and Algeria confirmed censorship via DNS injection and SNI-based TLS connection termination. The GNL covers 25–62% of Tranco-censored domains across countries, showing substantial but incomplete overlap. This vendor-side ground truth reveals a censorship surface roughly two orders of magnitude larger than curated academic test lists.

2026-sheffey-geedge §4.1, Table 2 dpisni-blockingdns-poisoningmeasurement-platform

Wrana et al. systematically assess how well existing surveillance and censorship mechanisms can target users of Future Internet Architectures (FIAs) — including NDN, SCION, XIA, and MobilityFirst — finding that DPI and flow-correlation techniques from the current internet map onto FIA traffic with moderate adaptation. The paper identifies that FIA naming/addressing schemes introduce new censorship attack surfaces (e.g., content-name-based filtering in NDN) not present in IP-based architectures.

2025-wrana-sok-surveillance §4, §5 dpiflow-correlationmeasurement-platform

CenDTect, an unsupervised decision-tree system using iterative parallel DBSCAN, analyzed more than 70 billion Censored Planet data points (January 2019 – December 2022) and discovered 15,360 HTTP(S) censorship event clusters across 192 countries and 1,166 DNS event clusters across 77 countries. Manual validation against 38 known censorship events from news reports confirmed all human-identified events were recoverable from CenDTect's output. The system additionally identified more than 100 ASes in 32 countries with persistent ISP-level blocking and 11 temporary blocking events in 2022 correlated with elections, protests, and armed conflict.

2024-tsai-modeling Abstract, §5, §6 measurement-platformdpidns-poisoning

The paper introduces TMC, a remote measurement tool that infers domain-blocking status across DNS, HTTP, and HTTPS without requiring in-country vantage points, using only 38% Internet penetration in a country of 6 million people. TMC enabled the largest Turkmenistan censorship measurement to date by exploiting middlebox reflection properties observable from outside the country.

2023-nourin-measuring §TMC measurement-platformdpidns-poisoning

Scanning the IP address spaces of 18 countries surrounding Russia, the authors identify Russian transit censorship affecting at least 8 countries (Afghanistan, Azerbaijan, Kyrgyzstan, Kazakhstan, Lithuania, South Korea, Tajikistan, and Ukraine), attributable to at least 6 Russian ASes. Only 2 of these 8 countries (Kyrgyzstan and Kazakhstan) had been reported in prior work, and the collateral damage is characterized as a lower bound due to the study's blockpage-only methodology.

2023-ortwein-towards §5 Preliminary Results dpipacket-injectionmeasurement-platform