(84922) 2003 VS2 is a near-Earth asteroid that was discovered in 2003. It is categorized as a member of the Apollo group of asteroids, which are characterized by their orbits crossing Earth's orbit. As a near-Earth object (NEO), it has the potential to come close to Earth at certain times, although it does not pose a significant threat.
Fast ice refers to sea ice that is connected to the coast or to large ice formations such as ice shelves. It remains anchored and does not drift with ocean currents or winds. Fast ice typically forms in areas where the water is shallow enough and is subject to consistent freezing conditions, allowing it to remain stable over longer periods. This type of ice plays a crucial role in the Arctic and Antarctic ecosystems as it provides habitat for various marine species, protects coastal areas from wave action, and influences local climate patterns.
Grease ice is a type of ice that forms under specific conditions in cold environments, typically found in polar regions or near ice-covered bodies of water. It is characterized by a thin, slushy layer that consists of small ice crystals and water, often resembling a viscous, greasy surface. Grease ice can develop when small ice crystals begin to coalesce and are mixed with water, creating a surface that appears shiny and can have a somewhat liquid-like texture.
Piezoelectric materials are substances that exhibit the piezoelectric effect, where mechanical stress applied to the material generates an electric charge, and conversely, applying an electric field can induce mechanical deformation. These materials are used in various applications, such as sensors, actuators, transducers, and even energy harvesting devices. Here’s a list of commonly used piezoelectric materials: ### Natural Piezoelectric Materials 1.
Rutilated quartz is a type of gemstone that features needle-like inclusions of rutile, a mineral composed primarily of titanium dioxide (TiO2). The rutile needles can appear in various colors, including gold, red, brown, and silver, and they can vary in thickness and arrangement, creating unique and striking patterns within the clear or translucent quartz.
Bottled gas refers to various types of gases that are stored under pressure in containers, typically cylinders or bottles. It is commonly used for a variety of applications, including heating, cooking, and fuel for vehicles. The most common types of bottled gas include: 1. **Liquefied Petroleum Gas (LPG)**: A mixture of propane and butane, LPG is widely used for home heating, cooking, and hot water systems. It is also used in certain vehicles as an alternative fuel.
Inelastic scattering is a process in which particles (such as photons, electrons, or neutrons) collide with a target and transfer some of their energy to the target during the interaction. This results in a change in the energy, momentum, or state of the incoming particles, as well as a change in the target particles.
Ocean color refers to the color of the ocean as perceived by the human eye, which results from the absorption and scattering of sunlight by water and various substances in the water. The color can vary widely depending on several factors, including: 1. **Water Depth**: In deep water, colors tend to appear darker and bluer, while shallow water may appear greener or brownish due to the presence of sediments and algae.
An ultramicroscope is a specialized optical microscope that is used to observe objects that are smaller than the wavelength of visible light. This allows for the visualization of colloidal particles, bacteria, and other minute structures that cannot be effectively resolved with conventional light microscopy. The ultramicroscope operates on the principle of dark-field microscopy, where light is directed at an angle to the specimen, and only scattered light is observed.
An emission spectrum is a spectrum of the electromagnetic radiation emitted by a substance that has absorbed energy. When atoms or molecules absorb energy, they can become excited and move to higher energy levels. When these electrons return to their original (or ground) state, they release energy in the form of light. The wavelengths of this emitted light correspond to specific energies and are characteristic of the particular element or compound.
CIA 2010 covert communication websites 2013 DNS census MX records by 
Ciro Santilli 40 Updated 2025-07-16
Ciro Santilli 40 Updated 2025-07-16Let' see if there's anything in records/mx.xz.
mx.csv is 21GB.
They do have
" in the files to escape commas so:mx.pyWould have been better with csvkit: stackoverflow.com/questions/36287982/bash-parse-csv-with-quotes-commas-and-newlines
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]])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 vacuumLet'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:with only three exceptions:We need to count out of the totals!which gives, ~18M, so nope, it is too much by itself...
smtp.secureserver.net
mailstore1.secureserver.netdailynewsandsports.com|dailynewsandsports.com
inews-today.com|mail.inews-today.com
just-kidding-news.com|just-kidding-news.comsqlite3 mx.sqlite "select count(*) from t where m = 'mailstore1.secureserver.net'"Let's try to use that to reduce where
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.csvavm 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:At 267 hits we got 81, so all are still present.
grep -f <(awk -F, 'NR>1{print $2}' /home/ciro/bak/git/media/cia-2010-covert-communication-websites/hits.csv) avm.csvsecureserver 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
CIA 2010 covert communication websites 2013 DNS census NS records by Ciro Santilli 40 Updated 2025-07-16
Ciro Santilli 40 Updated 2025-07-16We 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:This brings us down to a much more manageable 3.0 GB, 83 M rows.
awk -F, 'BEGIN{OFS=","} { if ($1 != last) { print $1, $3; last = $1; } }' ns.csv | grep -E '\.(com|net|info|org|biz),' > nsu.csvLet's just scan it once real quick to start with, since likely nothing will come of this venue:As of 267 hits we get:so yeah, most of those are likely going to be humongous just by looking at the names.
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 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.comThe 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:Doubt anything will come out of this.
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 CIA 2010 covert communication websites 2013 DNS census SOA records by Ciro Santilli 40 Updated 2025-07-16
Ciro Santilli 40 Updated 2025-07-16Same as 2013 DNS census NS records basically, nothing came out.
dnshistory.org contains historical domain -> mappings.
We have not managed to extract much from this source, they don't have as much data on the range of interest.
But they do have some unique data at least, perhaps we should try them a bit more often, e.g. they were the only source we've seen so far that made the association: headlines2day.com -> 212.209.74.126 which places it in the more plausible globalbaseballnews.com IP range.
TODO can it do IP to domain? Or just domain to IP? Asked on their Discord: discord.com/channels/698151879166918727/968586102493552731/1124254204257632377. Their banner suggests that yes:
With our new look website you can now find other domains hosted on the same IP address, your website neighbours and more even quicker than before.
Owner replied, you can't:
At the moment you can only do this for current not historical records
In principle, we could obtain this data from search engines, but Google doesn't track that entire website well, e.g. no hits for
site:dnshistory.org "62.22.60.48" presumably due to heavy IP throttling.Homepage dnshistory.org/ gives date starting in 2009:and it is true that they do have some hits from that useful era.
Here at DNS History we have been crawling DNS records since 2009, our database currently contains over 1 billion domains and over 12 billion DNS records.
Any data that we have the patience of extracting from this we will dump under github.com/cirosantilli/media/blob/master/cia-2010-covert-communication-websites/hits.json.
So far, no new domains have been found with Common Crawl, nor have any existing known domains been found to be present in Common Crawl. Our working theory is that Common Crawl never reached the domains How did Alexa find the domains?
Let's try and do something with Common Crawl.
Unfortunately there's no IP data apparently: github.com/commoncrawl/cc-index-table/issues/30, so let's focus on the URLs.
Using their Common Crawl Athena method: commoncrawl.org/2018/03/index-to-warc-files-and-urls-in-columnar-format/
Sample first output line:So
# 2
url_surtkey org,whwheelers)/robots.txt
url https://whwheelers.org/robots.txt
url_host_name whwheelers.org
url_host_tld org
url_host_2nd_last_part whwheelers
url_host_3rd_last_part
url_host_4th_last_part
url_host_5th_last_part
url_host_registry_suffix org
url_host_registered_domain whwheelers.org
url_host_private_suffix org
url_host_private_domain whwheelers.org
url_host_name_reversed
url_protocol https
url_port
url_path /robots.txt
url_query
fetch_time 2021-06-22 16:36:50.000
fetch_status 301
fetch_redirect https://www.whwheelers.org/robots.txt
content_digest 3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ
content_mime_type text/html
content_mime_detected text/html
content_charset
content_languages
content_truncated
warc_filename crawl-data/CC-MAIN-2021-25/segments/1623488519183.85/robotstxt/CC-MAIN-20210622155328-20210622185328-00312.warc.gz
warc_record_offset 1854030
warc_record_length 639
warc_segment 1623488519183.85
crawl CC-MAIN-2021-25
subset robotstxturl_host_3rd_last_part might be a winner for CGI comms fingerprinting!Naive one for one index:have no results... data scanned: 5.73 GB
select * from "ccindex"."ccindex" where url_host_registered_domain = 'conquermstoday.com' limit 100;Let's see if they have any of the domain hits. Let's also restrict by date to try and reduce the data scanned:Humm, data scanned: 60.59 GB and no hits... weird.
select * from "ccindex"."ccindex" where
fetch_time < TIMESTAMP '2014-01-01 00:00:00' AND
url_host_registered_domain IN (
'activegaminginfo.com',
'altworldnews.com',
...
'topbillingsite.com',
'worldwildlifeadventure.com'
)Sanity check:has a bunch of hits of course. Data scanned: 212.88 MB,
select * from "ccindex"."ccindex" WHERE
crawl = 'CC-MAIN-2013-20' AND
subset = 'warc' AND
url_host_registered_domain IN (
'google.com',
'amazon.com'
)WHERE crawl and subset are a must! Should have read the article first.Let's widen a bit more:Still nothing found... they don't seem to have any of the URLs of interest?
select * from "ccindex"."ccindex" WHERE
crawl IN (
'CC-MAIN-2013-20',
'CC-MAIN-2013-48',
'CC-MAIN-2014-10'
) AND
subset = 'warc' AND
url_host_registered_domain IN (
'activegaminginfo.com',
'altworldnews.com',
...
'worldnewsandent.com',
'worldwildlifeadventure.com'
)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)
CIA 2010 covert communication websites 2012 Internet Census hostprobes by Ciro Santilli 40 Updated 2025-07-16
Ciro Santilli 40 Updated 2025-07-16Hostprobes 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 downSuggests 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 downSuggests exactly 223 - 192 + 1 = 31 IPs.
It does appears that long sequences of ranges are a sort of fingerprint. The question is how unique it would be.
First:This reduces us to 2 million IP rows from the total possible 16 million IPs.
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)'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:271. Hmm. A bit more than we'd like...
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
EOFAnother 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
EOFLet's check on 66:not representative at all... e.g. several convfirmed hits are down:
grep -e '66.45.179' -e '66.45.179' 6666.45.179.215 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 CIA 2010 covert communication websites 2012 Internet Census icmp_ping by Ciro Santilli 40 Updated 2025-07-16
Ciro Santilli 40 Updated 2025-07-16Let's check relevancy of known hits:Output:
grep -e '208.254.40' -e '208.254.42' 208 | tee 208hits208.254.40.95 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 unreachableThe 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 unreachablen=66
time awk '$3~/^alive,/ { print $1 }' $n | uniq -c | sed -r 's/^ +//;s/ /,/' | tee $n-up-uniq-cOK 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 66hitsDomain 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.
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!
Intro to OurBigBook
. Source. We have two killer features:
- 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-calculusArticles 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/derivativeVideo 2. OurBigBook Web topics demo. Source. - 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.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
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. 
- Infinitely deep tables of contents:
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