Across 7,336 websites analyzed comparatively across 71 ASes, blocklist sizes ranged from roughly 3,000 to 7,000 websites per AS, with differences between ISPs as large as 2,000 websites out of ~8,000 analyzed. Within single ASes, further blocklist variation was observed, suggesting misconfiguration or non-uniform middlebox deployment. Only 6,787 of 7,336 sites were blocked by at least one AS.

Only 10 of 64 measured Indian ASes conduct DNS-based blocking, but Atria Convergence Technologies (AS24309) was found performing DNS injection attacks against public DNS resolvers including Cloudflare, Google, and Quad9 — affecting 8.45% of the roughly 3 million DNS measurements collected using those resolvers. DNS blocking is otherwise concentrated in two large providers (AS24309 with 125,154 confirmed blocks and National Internet Backbone / BSNL with 92,653 confirmed blocks).

§5.1, Table 3 detection

HTTP-based blocking is the dominant censorship technique across Indian ISPs, observed in 64 of 71 measured ASes. However, the authors note it is largely ineffective because over 90% of web connections now use HTTPS, meaning ISPs cannot inspect the HOST header for the vast majority of traffic — making HTTP blocking easily bypassed by any HTTPS client.

§5.1 evaluation

CensorWatch found that 2,370 of 3,745 websites covered by a 2018 temporary court injunction (which was withdrawn in early 2019) remained blocked by at least one Indian ISP, indicating ISPs do not routinely update blocklists to implement unblocking orders. Additionally, three ASes (Hathway AS17488, YOU Broadband AS18207, RailTel AS24186) continued to block avaaz.org despite an explicit government unblocking order issued on 18 January 2019.

§6.1, §6.2 policy

SNI-based blocking is deployed by 16 of 64 measured ASes in India, concentrated heavily among the two largest ISPs: Reliance Jio (189,331 confirmed SNI blocks across 504,400 measurements) and Bharti Airtel Telemedia (158,022 confirmed blocks across 540,425 measurements). Smaller ISPs exhibit only marginal SNI blocking, likely as collateral from traffic peering through larger ISP infrastructure.

§5.1, Table 2 detection

'Resource Inaccessible' was the most frequently reported issue (61% of 119 submitted reports) during a month of naturalistic Tor Browser browsing, followed by CAPTCHAs (18%), Broken Content (17%), Other Issues (13%), and Timeouts (5%). These categories document the operational failure modes that degrade everyday Tor Browser usability beyond protocol-level censorship.

2026-micallef-reportor-facilitating-user §6.1, Figure 3 ip-blockingmeasurement-platform

The privacy properties of Tor Browser structurally preclude automated telemetry collection, creating a persistent blind spot for diagnosing user experience failures at scale. ReporTor demonstrates that anonymous voluntary in-situ reporting — transmitted over the Tor network and stored in a password-protected onion-service database — can substitute for telemetry: 119 reports over one month from five expert users sufficed to reproduce approximately half of reported issues exactly and identify root causes for most of the remainder.

2026-micallef-reportor-facilitating-user §1, §7.1 measurement-platform

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

CensorAlert aggregates censorship signals from heterogeneous open sources — including OONI, Cloudflare Radar, NetBlocks, GitHub Issues of circumvention tools (Hysteria, Xray), Net4People BBS, NTC Party forum, Mastodon, X, Telegram channels, and arXiv — normalizing each item into a common schema preserving timestamp, source, raw data, and provenance with a link to the original content.

2026-zohaib-extended §2 (Data Sources) measurement-platform

Systematic measurement platforms (OONI, Censored Planet, Cloudflare Radar, NetBlocks) have inherent blind spots due to geographic coverage and protocol-specific test constraints; critical censorship discoveries — including GFW fully-encrypted protocol blocking and regional Chinese censorship — were first surfaced by user reports on forums and GitHub issue pages of circumvention tools, not by automated measurement infrastructure.

2026-zohaib-extended §1 measurement-platformfully-encrypted-detect