Advertisement
Guest User

Untitled

a guest
Nov 1st, 2013
220
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 5.11 KB | None | 0 0
  1. TOP SECRET // SI-GAMMA / TALENT KEYHOLE // ORCON /
  2. PROPIN / RELIDO/ REL TO USA, FVEY *
  3. TOP SECRET//SI//REL TO USA, FVEY
  4.  
  5. [edit] (U) SSO Collection Optimization Overview
  6. (S//SI//REL USA, FVEY) This wiki article collects and documents the
  7. activities within SSO to optimize collection from SSO sites. It is a direct
  8. result of the activities and findings from the Large Access Exploitation
  9. (LAE) Working Group. Optimization activities can be categorized as:
  10. impacting primarily content collection, i.e., feeding repositories like
  11. PINWALE and PRESSUREWAVE; metadata, perhaps better termed
  12. "structured data," collection, i.e., primarily feeding repositories like
  13. MARINA or MAINWAY; or both.
  14. (TS//SI//REL USA, FVEY) An examination into the content collected by
  15. SSO sites in the fall of 2011 revealed that a significant portion of collection
  16. was repetitive, better placed into metadata repositories, or of little foreign
  17. intelligence value. Rapidly changing internet protocols, imprecise targeting
  18. methods, and constantly shifting target technology use means that selectors
  19. or traffic seen by tasking today may not be the same tomorrow. In addition,
  20. several emerging technologies in use by targets or contacts of targets have
  21. protocols which can cause gross over-collection and selector detasking, e.g.,
  22. Yahoo! Webmessenger, which cannot be prevented under UTT tasking, as
  23. the protocol contains the precise selector tasked.
  24. (TS//SI//REL USA, FVEY) The SSO Optimization team's job is to identify
  25. these types of data, and ensure appropriate corrective action is taken,
  26. throttling the data from corporate content or metadata repositories, as
  27. appropriate.
  28. (TS//SI//REL USA, FVEY) Implementation details for specific SSO sites
  29. can be found on the SSO Collection Optimization NOFORN wiki page.
  30. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  31.  
  32. [edit] (U) Address Books
  33. (U) Reason for Optimizing
  34. (TS//SI//REL USA, FVEY) Ownerless address books can account for 22%
  35. 2012), are highly repetitive, and can be both numerous and large.
  36. Additionally, the data is highly structured, so they are better parsed and
  37. analyzed in structured repositories like MARINA.
  38. (U) Criteria (SCISSORS)
  39. (TS//SI//REL USA, FVEY) To alleviate the large number of ownerless
  40. address books currently being collected, address books will be blocked at
  41. SCISSORS. SCISSORS will process each flow and label sessions with the
  42. category of 8223 where they meet the following criteria:
  43. o (Yahoo|Gmail|Hotmail)-viewAddressBook (which represents ~90% of all
  44. addressbook collection)
  45. o APMSGTYPE IS PRESENT
  46. o NO APACTIVEUSER
  47. o SIGAD = Given SIGADS (currently, four)
  48. (TS//SI//REL USA, FVEY) The sessions that do not meet the above criteria
  49. will send metadata to FALLOUT, but the sessions will be dropped before
  50. reaching PINWALE. Metrics for category 8223 will not be available in
  51. YELLOWSTONE, and these volumes will not count against PINWALE site
  52. caps set by the CSRC.
  53. (U) Criteria (XKEYSCORE)
  54. (TS//SI//REL USA, FVEY) Because of how inefficient the SCISSORS
  55. implementation of ownerless address book throttles is (essentially requiring
  56. that SCISSORS process all of the selected content from the affected
  57. dataflows twice), work is underway to implement the same throttle in
  58. XKEYSCORE at site. This requires a software modification to allow certain
  59. types of ownerless buddy list metadata to be created at site (vs at
  60. SCISSORS, under the current architecture). Then a deployed XKEYSCORE
  61. fingerprint will block the content while allowing the metadata to be
  62. memorialized.
  63.  
  64. XKS Versions:
  65. XKS Version 1.5.8 v89 TU Version 1.5.7 v151
  66. Digester Labeling:
  67. <HASBUDDY>true</HASBUDDY>
  68. <ANONADDRBOOK>true</ANONADDRBOOK>
  69. The following fingerprint labels and defeats the traffic.
  70. defeat/atxks/ownerless_addressbook
  71. (U) Deployment Date
  72. (TS//SI//REL USA, FVEY) The SCISSORS ownerless address book throttle
  73. was implemented on 2/29/2012 for one site, and for others in March and
  74. April of 2012.
  75. (TS//SI//REL USA, FVEY) The XKEYSCORE ownerless address book
  76. throttle is under development.
  77.  
  78. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  79.  
  80. [edit] (U) Yahoo Webmessenger
  81. (U) Reason for Optimizing
  82. (S//SI//REL USA, FVEY) Yahoo's web-based Messenger client sends
  83. frequent requests, and receives frequent responses, for inbox and buddy
  84. status which are highly repetitive and contain little or no useful FI
  85. information in the actual message content beyond the simple fact that the
  86. user was online. During the first two weeks of December, at least eight
  87. selectors were detasked by CSRC due to excessive collection (exceeding
  88. session limits).
  89. (U) Criteria
  90.  
  91. (S//SI//REL USA, FVEY) Yahoo Webmessenger is identified as either being
  92. a request for status message from the client (uncommon), or a status
  93. message (common):
  94. o request
  95. 1. HTTP GET /v1/pushchannel/
  96. 2. 'x-yahoo-msgr-user-agent: YahooMessenger'
  97. 3. http_host('rest-notify.msg.yahoo.com')
  98. 4. http_url('&msgrAppId=' and '&sid=')
  99. o status
  100. 1. 'Content-Type: application/json;charset=utf-8'
  101. 2. Message contains: '"@pendingMsg" : 0, "@syncStatus" : 0, "responses" :
  102. [ {'
  103. (U) Deployment Date
  104. (S//SI//REL USA, FVEY) /atrouter/ on 11 Jan 2012. /atxks/ on 17 April
  105. 2012.
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement