Five commercial filtering products (FortiGuard, Squid, Netsweeper, Websense, WireFilter) were identified in 7 of 36 block-page clusters via copyright notices in HTML comments, HTTP header strings, or URL path patterns; the remaining 29 clusters contained no identifying markup. WireFilter was first detected in the wild in Saudi Arabia (AS 25019) in 2011, representing a newly deployed filtering product not previously observed in measurements.

Page length comparison at a 30.19% size-difference threshold achieves a 95.03% true positive rate and 1.371% false positive rate for block page detection, outperforming DOM similarity (95.35% TP, 3.732% FP) on false positive rate and cosine similarity (97.94% TP, 1.938% FP, 74.23% precision) on precision. These metrics were evaluated via ten-fold cross-validation on the ONI dataset of ~500,000 entries from 49 countries spanning 2007–2012.

§4.2, Table 1 evaluation

Within a single country mandate, different ISPs implement censorship with different filtering tools and mechanisms: Thailand's AS 9737 and AS 17552 use structurally distinct block-page templates (vector 17 is ~1,000 bytes using div layout; vector 8 is ~6,000 bytes using table layout). Both ISPs actively obfuscate their filtering product by reporting generic 'Server: Apache/2.2.9 (Debian)' or 'Server: Apache' HTTP headers instead of the actual product identifier.

§6 detection

Applying automated block-page detection to the ONI dataset (49 countries, 2007–2012) reveals that Burma's (AS 18399) censorship mechanism shifted from DNS redirection to a transparent proxy returning a custom block page in mid-2009, then block pages largely disappeared after Burma's late-2011 political liberalization. Saudi Arabia (AS 25019) shows a similar transition with WireFilter replacing an unidentified prior tool in 2011, with two concurrent block-page templates suggesting multiple simultaneous filtering devices.

§6 evaluation

Term frequency clustering of block pages achieves an F-1 measure of 0.98, correctly recovering manually identified block-page templates; page-length clustering performs far worse at F-1 of 0.64. Across the full ONI dataset, only 37 distinct term frequency vectors were found from five years of measurements, indicating that filtering vendors rarely change block-page HTML structure.

§5.1, §5.2 evaluation

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