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CIA 2010 covert communication websites / 2013 DNS Census virtual host cleanup heuristic keyword searches by Ciro Santilli 40 Updated 2025-07-16
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There are two keywords that are killers: "news" and "world" and their translations or closely related words. Everything else is hard. So a good start is:
grep -e news -e noticias -e nouvelles -e world -e global
iran + football:
  • iranfootballsource.com: the third hit for this area after the two given by Reuters! Epic.
3 easy hits with "noticias" (news in Portuguese or Spanish"), uncovering two brand new ip ranges:
  • 66.45.179.205 noticiasporjanua.com
  • 66.237.236.247 comunidaddenoticias.com
  • 204.176.38.143 noticiassofisticadas.com
Let's see some French "nouvelles/actualites" for those tumultuous Maghrebis:
  • 216.97.231.56 nouvelles-d-aujourdhuis.com
news + world:
  • 210.80.75.55 philippinenewsonline.net
news + global:
  • 204.176.39.115 globalprovincesnews.com
  • 212.209.74.105 globalbaseballnews.com
  • 212.209.79.40: hydradraco.com
OK, I've decided to do a complete Wayback Machine CDX scanning of news... Searching for .JAR or https.*cgi-bin.*\.cgi are killers, particularly the .jar hits, here's what came out:
  • 62.22.60.49 telecom-headlines.com
  • 62.22.61.206 worldnewsnetworking.com
  • 64.16.204.55 holein1news.com
  • 66.104.169.184 bcenews.com
  • 69.84.156.90 stickshiftnews.com
  • 74.116.72.236 techtopnews.com
  • 74.254.12.168 non-stop-news.net
  • 193.203.49.212 inews-today.com
  • 199.85.212.118 just-kidding-news.com
  • 207.210.250.132 aeronet-news.com
  • 212.4.18.129 sightseeingnews.com
  • 212.209.90.84 thenewseditor.com
  • 216.105.98.152 modernarabicnews.com
Wayback Machine CDX scanning of "world":
  • 66.104.173.186 myworldlymusic.com
"headline": only 140 matches in 2013-dns-census-a-novirt.csv and 3 hits out of 269 hits. Full inspection without CDX led to no new hits.
"today": only 3.5k matches in 2013-dns-census-a-novirt.csv and 12 hits out of 269 hits, TODO how many on those on 2013-dns-census-a-novirt? No new hits.
"world", "global", "international", and spanish/portuguese/French versions like "mondo", "mundo", "mondi": 15k matches in 2013-dns-census-a-novirt.csv. No new hits.
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CIA 2010 covert communication websites / 2013 DNS census MX records by Ciro Santilli 40 Updated 2025-07-16
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Let' see if there's anything in records/mx.xz.
mx.csv is 21GB.
They do have " in the files to escape commas so:
mx.py
import csv
import sys
writer = csv.writer(sys.stdout)
with open('mx.csv', 'r') as f:
    reader = csv.reader(f)
    for row in reader:
        writer.writerow([row[0], row[3]])
Would have been better with csvkit: stackoverflow.com/questions/36287982/bash-parse-csv-with-quotes-commas-and-newlines
then:
# uniq not amazing as there are often two or three slightly different records repeated on multiple timestamps, but down to 11 GB
python3 mx.py | uniq > mx-uniq.csv
sqlite3 mx.sqlite 'create table t(d text, m text)'
# 13 GB
time sqlite3 mx.sqlite ".import --csv --skip 1 'mx-uniq.csv' t"

# 41 GB
time sqlite3 mx.sqlite 'create index td on t(d)'
time sqlite3 mx.sqlite 'create index tm on t(m)'
time sqlite3 mx.sqlite 'create index tdm on t(d, m)'

# Remove dupes.
# Rows: 150m
time sqlite3 mx.sqlite <<EOF
delete from t
where rowid not in (
  select min(rowid)
  from t
  group by d, m
)
EOF

# 15 GB
time sqlite3 mx.sqlite vacuum
Let's see what the hits use:
awk -F, 'NR>1{ print $2 }' ../media/cia-2010-covert-communication-websites/hits.csv | xargs -I{} sqlite3 mx.sqlite "select distinct * from t where d = '{}'"
At around 267 total hits, only 84 have MX records, and from those that do, almost all of them have exactly:
smtp.secureserver.net
mailstore1.secureserver.net
with only three exceptions:
dailynewsandsports.com|dailynewsandsports.com
inews-today.com|mail.inews-today.com
just-kidding-news.com|just-kidding-news.com
We need to count out of the totals!
sqlite3 mx.sqlite "select count(*) from t where m = 'mailstore1.secureserver.net'"
which gives, ~18M, so nope, it is too much by itself...
Let's try to use that to reduce av.sqlite from 2013 DNS Census virtual host cleanup a bit further:
time sqlite3 mx.sqlite '.mode csv' "attach 'aiddcu.sqlite' as 'av'" '.load ./ip' "select ipi2s(av.t.i), av.t.d from av.t inner join t as mx on av.t.d = mx.d and mx.m = 'mailstore1.secureserver.net' order by av.t.i asc" > avm.csv
where avm stands for av with mx pruning. This leaves us with only ~500k entries left. With one more figerprint we could do a Wayback Machine CDX scanning scan.
Let's check that we still have most our hits in there:
grep -f <(awk -F, 'NR>1{print $2}' /home/ciro/bak/git/media/cia-2010-covert-communication-websites/hits.csv) avm.csv
At 267 hits we got 81, so all are still present.
secureserver is a hosting provider, we can see their blank page e.g. at: web.archive.org/web/20110128152204/http://emmano.com/. security.stackexchange.com/questions/12610/why-did-secureserver-net-godaddy-access-my-gmail-account/12616#12616 comments:
secureserver.net is the name GoDaddy use as the reverse DNS for IP addresses used for dedicated/virtual server hosting
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CIA 2010 covert communication websites / IP and DNS metadata by Ciro Santilli 40 Updated 2025-07-19
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Some dumps from us looking for patterns, but could not find any.
Sources of whois history include:
The vast majority of domains seem to be registered either via domainsbyproxy.com which likely intgrates with Godaddy and is widely used, and seems to give zero infromation at all about the registrar.
A much smaller number however uses other methods, some of which sometimes leak a little bit of data:
Big question: webmasters.stackexchange.com/questions/13237/how-do-you-view-domain-whois-history DomainTools also has it.
How on Earth did did Citizen Labs find what seems to be a DNS fingerprint??? Are there simply some very rare badly registered domains? What did they see!
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Homeobox gene by Ciro Santilli 40 Updated 2025-07-16
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JCVI-syn3A by Ciro Santilli 40 Updated 2025-07-16
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essential metabolism for a minimal cell (2019) mentions:
JCVI-syn3A, a robust minimal cell with a 543 kbp genome and 493 genes, provides a versatile platform to study the basics of life.
Based on JCVI-syn3.0, they've added a few genes back to give better phenotypes, including slightly faster duplication time. Because the development cycle time is your God is also true in biology.
As of essential metabolism for a minimal cell (2019) it had only 91 genes of unknown function! So funny.
Bibliograpy:
Figure 1.
JCVI-syn3A during cell division by David Goodsell (2022)
Source. A description is present at: cdn.rcsb.org/pdb101/goodsell/2022_JCVI-syn3A.pdf Integrative Illustration of a JCVI-syn3A Minimal Cell by David Goodsell (2022) which describes everything in the picture.
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Horizontal gene transfer by Ciro Santilli 40 Updated 2025-07-16
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Ways in which it can happen:
Figure 1.
Graph of life
. Source. horizontal gene transfer transforms the tree of life into the graph of life! Fuck my life.
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Jan Hendrik Schön by Ciro Santilli 40 Updated 2025-07-16
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How can I be as great by Justine Musk by Ciro Santilli 40 Updated 2025-07-16
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www.quora.com/How-can-I-be-as-great-as-Bill-Gates-Steve-Jobs-Elon-Musk-or-Sir-Richard-Branson/answer/Justine-Musk is a fantastic ansewr by Justine Musk, Elon Musk's ex-fife, to the question:
How can I be as great as Bill Gates, Steve Jobs, Elon Musk or Sir Richard Branson?
One of her key thesis is Many successful people are neurodiverse:
These people tend to be freaks and misfits who were forced to experience the world in an unusually challenging way. They developed strategies to survive, and as they grow older they find ways to apply these strategies to other things, and create for themselves a distinct and powerful advantage. They don't think the way other people think. They see things from angles that unlock new ideas and insights. Other people consider them to be somewhat insane.
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Personality type by Ciro Santilli 40 Updated 2025-11-05
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CIA 2010 covert communication websites / 2013 DNS census NS records by Ciro Santilli 40 Updated 2025-07-16
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ns.csv is 57 GB. This file is too massive, working with it is a pain.
We can also cut down the data a lot with stackoverflow.com/questions/1915636/is-there-a-way-to-uniq-by-column/76605540#76605540 and tld filtering:
awk -F, 'BEGIN{OFS=","} { if ($1 != last) { print $1, $3; last = $1; } }' ns.csv | grep -E '\.(com|net|info|org|biz),' > nsu.csv
This brings us down to a much more manageable 3.0 GB, 83 M rows.
Let's just scan it once real quick to start with, since likely nothing will come of this venue:
grep -f <(awk -F, 'NR>1{print $2}' ../media/cia-2010-covert-communication-websites/hits.csv) nsu.csv | tee nsu-hits.csv
cat nsu-hits.csv | csvcut -c 2 | sort | awk -F. '{OFS="."; print $(NF-1), $(NF)}' | sort | uniq -c | sort -k1 -n
As of 267 hits we get:
      1 a2hosting.com
      1 amerinoc.com
      1 ayns.net
      1 dailyrazor.com
      1 domainingdepot.com
      1 easydns.com
      1 frienddns.ru
      1 hostgator.com
      1 kolmic.com
      1 name-services.com
      1 namecity.com
      1 netnames.net
      1 tonsmovies.net
      1 webmailer.de
      2 cashparking.com
     55 worldnic.com
     86 domaincontrol.com
so yeah, most of those are likely going to be humongous just by looking at the names.
The smallest ones by far from the total are: frienddns.ru with only 487 hits, all others quite large or fake hits due to CSV. Did a quick Wayback Machine CDX scanning there but no luck alas.
Let's check the smaller ones:
inews-today.com,2013-08-12T03:14:01,ns1.frienddns.ru
source-commodities.net,2012-12-13T20:58:28,ns1.namecity.com -> fake hit due to grep e-commodities.net
dailynewsandsports.com,2013-08-13T08:36:28,ns3.a2hosting.com
just-kidding-news.com,2012-02-04T07:40:50,jns3.dailyrazor.com
fightwithoutrules.com,2012-11-09T01:17:40,sk.s2.ns1.ns92.kolmic.com
fightwithoutrules.com,2013-07-01T22:46:23,ns1625.ztomy.com
half-court.net,2012-09-10T09:49:15,sk.s2.ns1.ns92.kolmic.com
half-court.net,2013-07-07T00:31:12,ns1621.ztomy.com
Doubt anything will come out of this.
Let's do a bit of counting out of the total:
grep domaincontrol.com ns.csv | awk -F, '{print $1}' | uniq | wc
gives ~20M domain using domaincontrol. Let's see how many domains are in the first place:
awk -F, '{print $1}' ns.csv | uniq | wc
so it accounts for 1/4 of the total.
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Archaea are more cosely related to the eukaryotes than bacteria by Ciro Santilli 40 Updated 2025-07-16
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CIA 2010 covert communication websites / 2013 DNS census SOA records by Ciro Santilli 40 Updated 2025-07-16
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Same as 2013 DNS census NS records basically, nothing came out.
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CIA 2010 covert communication websites / Internet Census 2012 by Ciro Santilli 40 Updated 2025-07-16
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Does not appear to have any reverse IP hits unfortunately: opendata.stackexchange.com/questions/1951/dataset-of-domain-names/21077#21077. Likely only has domains that were explicitly advertised.
We could not find anything useful in it so far, but there is great potential to use this tool to find new IP ranges based on properties of existing IP ranges. Part of the problem is that the dataset is huge, and is split by top 256 bytes. But it would be reasonable to at least explore ranges with pre-existing known hits...
We have started looking for patterns on 66.* and 208.*, both selected as two relatively far away ranges that have a number of pre-existing hits. 208 should likely have been 212 considering later finds that put several ranges in 212.
tcpip_fp:
  • 66.104.
    • 66.104.175.41: grubbersworldrugbynews.com: 1346397300 SCAN(V=6.01%E=4%D=1/12%OT=22%CT=443%CU=%PV=N%G=N%TM=387CAB9E%P=mipsel-openwrt-linux-gnu),ECN(R=N),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=N),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
    • 66.104.175.48: worlddispatch.net: 1346816700 SCAN(V=6.01%E=4%D=1/2%OT=22%CT=443%CU=%PV=N%DC=I%G=N%TM=1D5EA%P=mipsel-openwrt-linux-gnu),SEQ(SP=F8%GCD=3%ISR=109%TI=Z%TS=A),ECN(R=N),T1(R=Y%DF=Y%TG=40%S=O%A=S+%F=AS%RD=0%Q=),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
    • 66.104.175.49: webworldsports.com: 1346692500 SCAN(V=6.01%E=4%D=9/3%OT=22%CT=443%CU=%PV=N%DC=I%G=N%TM=5044E96E%P=mipsel-openwrt-linux-gnu),SEQ(SP=105%GCD=1%ISR=108%TI=Z%TS=A),OPS(O1=M550ST11NW6%O2=M550ST11NW6%O3=M550NNT11NW6%O4=M550ST11NW6%O5=M550ST11NW6%O6=M550ST11),WIN(W1=1510%W2=1510%W3=1510%W4=1510%W5=1510%W6=1510),ECN(R=N),T1(R=Y%DF=Y%TG=40%S=O%A=S+%F=AS%RD=0%Q=),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
    • 66.104.175.50: fly-bybirdies.com: 1346822100 SCAN(V=6.01%E=4%D=1/1%OT=22%CT=443%CU=%PV=N%DC=I%G=N%TM=14655%P=mipsel-openwrt-linux-gnu),SEQ(TI=Z%TS=A),ECN(R=N),T1(R=Y%DF=Y%TG=40%S=O%A=S+%F=AS%RD=0%Q=),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
    • 66.104.175.53: info-ology.net: 1346712300 SCAN(V=6.01%E=4%D=9/4%OT=22%CT=443%CU=%PV=N%DC=I%G=N%TM=50453230%P=mipsel-openwrt-linux-gnu),SEQ(SP=FB%GCD=1%ISR=FF%TI=Z%TS=A),ECN(R=N),T1(R=Y%DF=Y%TG=40%S=O%A=S+%F=AS%RD=0%Q=),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
  • 66.175.106
    • 66.175.106.150: noticiasmusica.net: 1340077500 SCAN(V=5.51%D=1/3%OT=22%CT=443%CU=%PV=N%G=N%TM=38707542%P=mipsel-openwrt-linux-gnu),ECN(R=N),T1(R=N),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
    • 66.175.106.155: atomworldnews.com: 1345562100 SCAN(V=5.51%D=8/21%OT=22%CT=443%CU=%PV=N%DC=I%G=N%TM=5033A5F2%P=mips-openwrt-linux-gnu),SEQ(SP=FB%GCD=1%ISR=FC%TI=Z%TS=A),ECN(R=Y%DF=Y%TG=40%W=1540%O=M550NNSNW6%CC=N%Q=),T1(R=Y%DF=Y%TG=40%S=O%A=S+%F=AS%RD=0%Q=),T2(R=N),T3(R=N),T4(R=N),T5(R=Y%DF=Y%TG=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=),T6(R=N),T7(R=N),U1(R=N),IE(R=N)
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CIA 2010 covert communication websites / 2012 Internet Census hostprobes by Ciro Santilli 40 Updated 2025-07-16
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Hostprobes quick look on two ranges:
208.254.40:
... similar down

208.254.40.95	1334668500	down	no-response
208.254.40.95	1338270300	down	no-response
208.254.40.95	1338839100	down	no-response
208.254.40.95	1339361100	down	no-response
208.254.40.95	1346391900	down	no-response
208.254.40.96	1335806100	up	unknown
208.254.40.96	1336979700	up	unknown
208.254.40.96	1338840900	up	unknown
208.254.40.96	1339454700	up	unknown
208.254.40.96	1346778900	up	echo-reply (0.34s latency).
208.254.40.96	1346838300	up	echo-reply (0.30s latency).
208.254.40.97	1335840300	up	unknown
208.254.40.97	1338446700	up	unknown
208.254.40.97	1339334100	up	unknown
208.254.40.97	1346658300	up	echo-reply (0.26s latency).

... similar up

208.254.40.126	1335708900	up	unknown
208.254.40.126	1338446700	up	unknown
208.254.40.126	1339330500	up	unknown
208.254.40.126	1346494500	up	echo-reply (0.24s latency).
208.254.40.127	1335840300	up	unknown
208.254.40.127	1337793300	up	unknown
208.254.40.127	1338853500	up	unknown
208.254.40.127	1346454900	up	echo-reply (0.23s latency).

208.254.40.128	1335856500	up	unknown
208.254.40.128	1338200100	down	no-response
208.254.40.128	1338749100	down	no-response
208.254.40.128	1339334100	down	no-response
208.254.40.128	1346607900	down	net-unreach
208.254.40.129	1335699900	up	unknown

... similar down
Suggests exactly 127 - 96 + 1 = 31 IPs.
208.254.42:
... similar down

208.254.42.191	1334522700	down	no-response
208.254.42.191	1335276900	down	no-response
208.254.42.191	1335784500	down	no-response
208.254.42.191	1337845500	down	no-response
208.254.42.191	1338752700	down	no-response
208.254.42.191	1339332300	down	no-response
208.254.42.191	1346499900	down	net-unreach

208.254.42.192	1334668500	up	unknown
208.254.42.192	1336808700	up	unknown
208.254.42.192	1339334100	up	unknown
208.254.42.192	1346766300	up	echo-reply (0.40s latency).
208.254.42.193	1335770100	up	unknown
208.254.42.193	1338444900	up	unknown
208.254.42.193	1339334100	up	unknown

... similar up

208.254.42.221	1346517900	up	echo-reply (0.19s latency).
208.254.42.222	1335708900	up	unknown
208.254.42.222	1335708900	up	unknown
208.254.42.222	1338066900	up	unknown
208.254.42.222	1338747300	up	unknown
208.254.42.222	1346872500	up	echo-reply (0.27s latency).
208.254.42.223	1335773700	up	unknown
208.254.42.223	1336949100	up	unknown
208.254.42.223	1338750900	up	unknown
208.254.42.223	1339334100	up	unknown
208.254.42.223	1346854500	up	echo-reply (0.13s latency).

208.254.42.224	1335665700	down	no-response
208.254.42.224	1336567500	down	no-response
208.254.42.224	1338840900	down	no-response
208.254.42.224	1339425900	down	no-response
208.254.42.224	1346494500	down	time-exceeded

... similar down
Suggests exactly 223 - 192 + 1 = 31 IPs.
Let's have a look at the file 68: outcome: no clear hits like on 208. One wonders why.
It does appears that long sequences of ranges are a sort of fingerprint. The question is how unique it would be.
First:
n=208
time awk '$3=="up"{ print $1 }' $n | uniq -c | sed -r 's/^ +//;s/ /,/' | tee $n-up-uniq
t=$n-up-uniq.sqlite
rm -f $t
time sqlite3 $t 'create table tmp(cnt text, i text)'
time sqlite3 $t ".import --csv $n-up-uniq tmp"
time sqlite3 $t 'create table t (i integer)'
time sqlite3 $t '.load ./ip' 'insert into t select str2ipv4(i) from tmp'
time sqlite3 $t 'drop table tmp'
time sqlite3 $t 'create index ti on t(i)'
This reduces us to 2 million IP rows from the total possible 16 million IPs.
OK now just counting hits on fixed windows has way too many results:
sqlite3 208-up-uniq.sqlite "\
SELECT * FROM (
  SELECT min(i), COUNT(*) OVER (
    ORDER BY i RANGE BETWEEN 15 PRECEDING AND 15 FOLLOWING
  ) as c FROM t
) WHERE c > 20 and c < 30
"
Let's try instead consecutive ranges of length exactly 31 instead then:
sqlite3 208-up-uniq.sqlite <<EOF
SELECT f, t - f as c FROM (
  SELECT min(i) as f, max(i) as t
  FROM (SELECT i, ROW_NUMBER() OVER (ORDER BY i) - i as grp FROM t)
  GROUP BY grp
  ORDER BY i
) where c = 31
EOF
271. Hmm. A bit more than we'd like...
Another route is to also count the ups:
n=208
time awk '$3=="up"{ print $1 }' $n | uniq -c | sed -r 's/^ +//;s/ /,/' | tee $n-up-uniq-cnt
t=$n-up-uniq-cnt.sqlite
rm -f $t
time sqlite3 $t 'create table tmp(cnt text, i text)'
time sqlite3 $t ".import --csv $n-up-uniq-cnt tmp"
time sqlite3 $t 'create table t (cnt integer, i integer)'
time sqlite3 $t '.load ./ip' 'insert into t select cnt as integer, str2ipv4(i) from tmp'
time sqlite3 $t 'drop table tmp'
time sqlite3 $t 'create index ti on t(i)'
Let's see how many consecutives with counts:
sqlite3 208-up-uniq-cnt.sqlite <<EOF
SELECT f, t - f as c FROM (
  SELECT min(i) as f, max(i) as t
  FROM (SELECT i, ROW_NUMBER() OVER (ORDER BY i) - i as grp FROM t WHERE cnt >= 3)
  GROUP BY grp
  ORDER BY i
) where c > 28 and c < 32
EOF
Let's check on 66:
grep -e '66.45.179' -e '66.45.179' 66
not representative at all... e.g. several convfirmed hits are down:
66.45.179.215   1335305700      down    no-response
66.45.179.215   1337579100      down    no-response
66.45.179.215   1338765300      down    no-response
66.45.179.215   1340271900      down    no-response
66.45.179.215   1346813100      down    no-response
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Animal by Ciro Santilli 40 Updated 2025-07-16
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Formal name: "animalia".
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Anus by Ciro Santilli 40 Updated 2025-07-16
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CIA 2010 covert communication websites / 2012 Internet Census icmp_ping by Ciro Santilli 40 Updated 2025-07-16
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Let's check relevancy of known hits:
grep -e '208.254.40' -e '208.254.42' 208 | tee 208hits
Output:
208.254.40.95	1355564700	unreachable
208.254.40.95	1355622300	unreachable
208.254.40.96	1334537100	alive, 36342
208.254.40.96	1335269700	alive, 17586

..

208.254.40.127	1355562900	alive, 35023
208.254.40.127	1355593500	alive, 59866
208.254.40.128	1334609100	unreachable
208.254.40.128	1334708100	alive from 208.254.32.214, 43358
208.254.40.128	1336596300	unreachable
The rest of 208 is mostly unreachable.
208.254.42.191	1335294900	unreachable
...
208.254.42.191	1344737700	unreachable
208.254.42.191	1345574700	Icmp Error: 0,ICMP Network Unreachable, from 63.111.123.26
208.254.42.191	1346166900	unreachable
...
208.254.42.191	1355665500	unreachable
208.254.42.192	1334625300	alive, 6672
...
208.254.42.192	1355658300	alive, 57412
208.254.42.193	1334677500	alive, 28985
208.254.42.193	1336524300	unreachable
208.254.42.193	1344447900	alive, 8934
208.254.42.193	1344613500	alive, 24037
208.254.42.193	1344806100	alive, 20410
208.254.42.193	1345162500	alive, 10177
...
208.254.42.223	1336590900	alive, 23284
...
208.254.42.223	1355555700	alive, 58841
208.254.42.224	1334607300	Icmp Type: 11,ICMP Time Exceeded, from 65.214.56.142
208.254.42.224	1334681100	Icmp Type: 11,ICMP Time Exceeded, from 65.214.56.142
208.254.42.224	1336563900	Icmp Type: 11,ICMP Time Exceeded, from 65.214.56.142
208.254.42.224	1344451500	Icmp Type: 11,ICMP Time Exceeded, from 65.214.56.138
208.254.42.224	1344566700	unreachable
208.254.42.224	1344762900	unreachable
Let's try with 66. First there way too much data, 9 GB, let's cut it down:
n=66
time awk '$3~/^alive,/ { print $1 }' $n | uniq -c | sed -r 's/^ +//;s/ /,/' | tee $n-up-uniq-c
OK down to 45 MB, now we can work.
grep -e '66.45.179' -e '66.104.169' -e '66.104.173' -e '66.104.175' -e '66.175.106' '66-alive-uniq-c' | tee 66hits
Nah, it's full of holes:
4,66.45.179.187
12,66.45.179.188
2,66.45.179.197
1,66.45.179.202
2,66.45.179.205
2,66.45.179.206
1,66.45.179.207
won't be able to find new ranges here.
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Animal flight by Ciro Santilli 40 Updated 2025-07-16
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Warm-blooded by Ciro Santilli 40 Updated 2025-07-16
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CIA 2010 covert communication websites / tb0hdan/domains by Ciro Santilli 40 Updated 2025-07-16
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Domain list only, no IPs and no dates. We haven't been able to extract anything of interest from this source so far.
Domain hit count when we were at 69 hits: only 9, some of which had been since reused. Likely their data collection did not cover the dates of interest.
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Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Video 1.
Intro to OurBigBook
. Source.
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
    Video 2.
    OurBigBook Web topics demo
    . Source.
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 2.
    You can publish local OurBigBook lightweight markup files to either https://OurBigBook.com or as a static website
    .
    Figure 3.
    Visual Studio Code extension installation
    .
    Figure 4.
    Visual Studio Code extension tree navigation
    .
    Figure 5.
    Web editor
    . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
    Video 4.
    OurBigBook Visual Studio Code extension editing and navigation demo
    . Source.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact
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