TCIP T0 USA, AUS, CAN, GER, NZLH20291123 if Hi . me (aka Tech Extractor) December 2009 TOP SECRETHCOMINTHREL TO USA, AUS, CAN, GER, NZLH20291123
SECRETHCUMINTHHEL TU USA, AUS, CAN, GEIRThe "Tech Extractor" is a way of finding valuable intelligence based on keywords in the content of DNI sessions but it is a departure from traditional "soft selection" which tends to bring back a lot ofjunk.
To USA, ALIS, gin. gamma; ,7W?hat is soft selectio? Soft selection, aka content based selection, is an approach at targeting traffic by looking for keywords or phrases rather than specific E-mail accounts Content based selection has suffered because of the poor design of content based selection engines
SECRETHCUMINTHHEL TU USA, ALIS, CAN, GER, NZL Soft Selection vs Surgical to Existing selection techniques are blunt instruments XKEYSCORE contextual dictionaries provide an extremely sharp knife to make accurate selection decisions ?That?s not a a knife!?
i. .. usage0.: icatio vs DN on - i Selection engines in use today were based on designs built to handle TELEX traffic TELEX is a highly formatted content rich type of traffic that does not resemble raw DNI seen with Internet traffic Raw Internet traffic contains HTML, web-pages, raw base-64 encoded documents etc. When think of DNI ?content? they are more referring to ?communication content? then raw DNI content.
To USA, Alia, ?rm. GEL .Communi If an analyst tasks a Boolean equation ?bomb? and ?chemical? they likely want to see all communication that mentions ?bomb? and ?chemical? and not all web pages, news stories, blog posts etc. where those two words appear i What we need is a context-aware scanning engine that knows where it is inside of the raw DNI in order to properly apply analyst tasking
SECRETHCUMINTHHEL TU USA, AUS, CAN, GEIR, MEL 'What is the Tech ??if The Tech Extractor was first stab at context-aware scanning and it only focuses on three contexts: - E-mail Bodies - Chat Bodies - Document Bodies: a Microsoft Word, Excel, PowerPoint, Project, Visio a Adobe PDF, a Rich Text Format (RTF)
TU USA, E. @339 Ml. the Tech work? The Tech Extractor works by scanning a list of keywords against those three contexts and then tagging the results. It?s important to note that this is not ?filtering and selection? and we?re not fonNarding any data home XKS is simply tagging sessions with meta-data, much like we do with appids+fingerprints
To usi? Lean, mg .2 the Tech Extra-t work?? After the meta-data tag is applied, can then use that meta-data tag as part of a compliant query for traffic It?s important to note, just like Apple+Fingerprints, Tech Extractor tags aren?t necessarily compliant by themselves. You may need to add a valid foreign IP address, MAC address or country code before you query!
TU USA, AUS, CARI-GER XKS get its aims? .ffl'ZWhere does provide the XKS team with lists of terms, called ?Tech Dictionaries? which can contain multiple category names (aka ?Tech Names? Only after the XKS team is supplied with those terms can the system begin scanning and tagging.
TDF USA. AUS, CAN, GER, NZL EFT sear oEan Wis THE '13} .1331. ILLHI IE - 1 omssmo o4:55:o1 sons-014:1 sons-oi-oi - o4:55:oo o4:55:o1 satE'l'tE This document would have been nearly generic for CADENCE style tasking and the MAC address hit on an anchorless regular expression, impossible with current corporate scanning engines I l_ 5! I Attachments USA, AUS, CAN, GER, HZL impossible to find without the context aware tasking. The terms ?wimax? and ?dvb? are too HIE Ranchor Line: HIE Rancher Line
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SECRETHCUMINTHHEL TU USA, AUS, CAN, GEIR, MEL 'Fj?ul'l Foreign Language ppge z-e--=Supports full foreign language tagging and querying look for common Arabic expressions in E-mails coming from the Pakistan tribal regions: Activnz: 1136f: i . . . i UIS Wehm?il Display HgiiWIiif-i?m LIVE Mall [is-ta mer?mm-mi Medium ?skYou 111511.:r not know this senderMa?: as safE Mark as unsafe Slant: Thu 12:07? PM TDP SEGHETHCUMIHTHRELTD USA, AUS, CAN, GER, NZL
SECRETHCUMINTHHEL TU USA, AUS, CAN, GER, NZL Live Demo