Data as of 2026-11-05 · version 2026-11-05

Where is malicious infrastructure being built?

Instagram and WhatsApp are the most impersonated platforms we track

They carry 51% of the domains with a critical detection across this platform set.

What we identified on 2026-11-04

10 detection surfaces, each stating the period it covers. Impersonation figures count registrable domains with a critical detection. Free to quote with attribution.

Identity capture

Taking the login. Two separate detections, not halves of a total — a few domains trip both.

20.7%were registered in the last 90 days

3.8× the 5.47% baseline across the 540,675 domains we hold registration data for. Measured over 1,691 critical detections to date, 5.55% of all of them, as of 2026-11-05.

4

domains impersonating a platform

5 observations of those domains, on the most recent complete day shared by every feed

Source: Datazag · as of 2026-11-04

login pages built to look like a service someone already trusts

on 2026-11-04 · 5 observations

typical day 147 domains · median over 48 complete days

15

domains impersonating a watchlist brand

18 observations of those domains, on the most recent complete day shared by every feed

Source: Datazag · as of 2026-11-04

aimed at a name on the watchlist — a test list, so read it as a sample rather than a total

on 2026-11-04 · 18 observations

typical day 84 domains · median over 91 complete days

Command and control

Using it. Where a bought credential turns into access.

40,144

malware domains

40,144 of 64,402 domains on the malware list

Source: Datazag · as of 2026-11-05

listed by an indicator feed and present in our corpus · standing list as of 2026-11-05

11

c2 domains

11 of 60 domains on the c2 list

Source: Datazag · as of 2026-11-05

listed by an indicator feed and present in our corpus · standing list as of 2026-11-05

855

bulletproof hosting

546 distinct domains, on the most recent complete day shared by every feed

Source: Datazag · as of 2026-11-04

hosting that ignores abuse reports · all severities

typical day 1,562 · median over 77 complete days

Drill down

Cover and reach

Where campaigns hide. Counts over the whole corpus, not a single day.

54,728

prefixes carrying a listed threat IP

the whole corpus, on the snapshot the threat artifact was built from

Source: Datazag · as of 2026-11-04

2,474

prefixes on a do-not-route list

the whole corpus, on the snapshot the threat artifact was built from

Source: Datazag · as of 2026-11-04

273,998

IP addresses with a threat score

the whole corpus, on the snapshot the threat artifact was built from

Source: Datazag · as of 2026-11-04

749,225

domains using a disposable email provider

749,225 of 367.9M resolving domains

Source: Datazag · as of 2026-11-04

35,510,308

domains parked on a recognized platform

35,510,308 of 367.9M resolving domains

Source: Datazag · as of 2026-11-04

Who is being impersonated

A page built to pass for a service, or a domain built to pass for a name.

Platforms impersonated

Domains with a critical detection, over 48 complete days.

  1. 1Instagram4,76992,336 observations
  2. 2WhatsApp2,70857,050 observations
  3. 3Amazon2,19626,185 observations
  4. 4Google1,01615,942 observations
  5. 5Netflix94318,989 observations
  6. 6Microsoft60311,679 observations
  7. 7Pinterest48910,685 observations
  8. 8YouTube4568,708 observations
Source: Datazagas of 2026-11-04registrable domains with a critical platform impersonation detection over 48 complete days

Brands impersonated

Domains with a critical detection, over 91 complete days. Watchlist brands only. Customer brands are never published.

  1. 1Binance1,23117,245 observations
  2. 2Chase3002,253 observations
  3. 3WhatsApp2962,655 observations
  4. 4NatWest1844,091 observations
  5. 5Kaufland67869 observations
  6. 6Baidu58412 observations
  7. 7Apple44477 observations
  8. 8Toyota38668 observations

This ranks a defined watchlist, not the internet: it shows what is most impersonated among the brands we watch. Watch terms that are ordinary words (brand, square, jordan, enterprise, prime, mobil) are excluded, because a domain containing the word is not impersonating a brand by that name.

Source: Datazagas of 2026-11-04registrable domains with a critical brand impersonation detection over 91 complete days, watchlist brands only

United States, Singapore and Hong Kong host the most detected impersonation infrastructure

They account for 94% of domains with a critical detection in this sample. Hosting location follows where capacity is cheap and plentiful, so it describes the market an operator bought from rather than the operator.

Countries hosting domains with a critical platform impersonation detection

the United States10,863domains · 245,752 observations
Singapore5,176domains · 8,255 observations
Hong Kong726domains · 4,545 observations
Germany414domains · 6,279 observations
Seychelles381domains · 1,704 observations
Russia92domains · 575 observations
China60domains · 1,266 observations
France50domains · 826 observations
the Netherlands50domains · 273 observations
the United Kingdom49domains · 160 observations
United Arab Emirates32domains · 704 observations
Cyprus30domains · 64 observations
Source: Datazagas of 2026-11-04registrable domains with a critical platform detection over 48 complete days

Detection volume is uneven from day to day

The busiest of 21 days carried 36 detections against a typical 16. The variation is real but not dominated by single events.

Source: Datazag impersonation detectionsas of 2026-11-04registrable domains with a critical watchlist-brand detection, 21 complete days in the 21 to 2026-11-04

Red alerts arrive in bursts, not at a steady rate

22 domains on a typical day, 88 on the busiest of the last 28 complete days. Registrable domains, counted once however often they were observed. Critical severity only — the band that means act now rather than review later.

Source: Datazag impersonation detectionsas of 2026-11-04registrable domains with a critical platform or brand detection, last 28 days

iCloud was the most impersonated platform in the week beginning 2026-10-26

Ranked by registrable domains with a critical detection in the week beginning 2026-10-26. The arrow is the move against the week before. Only the top eight are published, so “unranked” means outside that week’s eight rather than newly appearing. The newest ranked week is the newest with a critical detection, which is not always last week.

#PlatformDomainsObservationsvs week before
1iCloud22▲ 1

All of it lands on 317 networks

Every critical impersonation detection resolves to a set of autonomous systems small enough to list, and 181 of them carry ten or more. Impersonation is not spread thinly across the internet; it concentrates.

317

Networks hosting a critical impersonation detection

complete collection days, across the platform and brand lanes

Source: Datazag · as of 2026-11-04

Counted over complete collection days, across both impersonation lanes.

181

Networks carrying ten or more critical impersonation detections

181 of 317 networks hosting a critical detection

Source: Datazag · as of 2026-11-04

A network with one detection may be a victim of its own customer. Ten is a pattern.

The figures

Free to quote with attribution. Open the notes on a card before you do.

20.7%
-0.56pp since 2026-11-04

Impersonation domains registered in the last 90 days

350 of 1,691 critical impersonation domains with registration data

Source: Datazag · as of 2026-11-05

1.33%
-0.02pp since 2026-11-04

Impersonation domains whose first certificate is under 30 days old

181 of 13,645 critical impersonation domains with a certificate observed

Source: Datazag · as of 2026-11-05

5.55%
+0.01pp since 2026-11-04

Critical impersonation domains with registration data

1,691 of 30,488 critical impersonation domains

Source: Datazag · as of 2026-11-05

2.5%
no prior period

Impersonation domains that can receive mail

207 of 8,264 critical impersonation domains we can observe

Source: Datazag · as of 2026-11-05

Query these statistics directly

Every figure on this page is served as Parquet. Same format as the corpus itself.

SELECT * FROM read_parquet('https://observatory.datazag.com/observatory_statistics.parquet');