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Using Social Networks to Harvest Addresses Reporter: Chia-Yi Lin Advisor: Chun-Ying Huang Mail: 9/14/2015 1.

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Presentation on theme: "Using Social Networks to Harvest Addresses Reporter: Chia-Yi Lin Advisor: Chun-Ying Huang Mail: 9/14/2015 1."— Presentation transcript:

1 Using Social Networks to Harvest Email Addresses Reporter: Chia-Yi Lin Advisor: Chun-Ying Huang Mail: m98570015@ntou.edu.tw 9/14/2015 1

2 Reference I. Polakis, G. Kontaxis, S. Antonatos, E. Gessiou, T. Petsas, and E. P. Markatos, “Using social networks to harvest email addresses,” in WPES ’10: Proceedings of the 9th annual ACM workshop on Privacy in the electronic society 9/14/2015 2

3 Outline Introduction Social network harvest email Facebbok informaition Conclusions 9/14/2015 3

4 Introduction Social networking is one of the most popular Internet activities ▫Facebook has more than 400 million users ▫Twitter has more than 40 million users Privacy leakage is one of the biggest problems of social networking 9/14/2015 4

5 http://www.checkfacebook.com/ 9/14/2015 5

6 Social network Used for malicious purposes ▫name, nickname  https://www.facebook.com/btaylor How names extracted from social networks ▫harvest email addresses Names collected ▫Facebook and Twitter networks Query terms for the Google search engine ▫harvest almost 9 million unique email 9/14/2015 6

7 Current Methodologies Give a brief overview of the current methodologies used by spammers to harvest email addresses ▫Web crawling ▫Crawling mailing list archives sites ▫Malware ▫Malicious sites ▫Dictionary attacks 9/14/2015 7

8 Two approaches Present two different approaches to harvesting ▫Blind harvesting ▫Targeted harvesting Social network ▫Facebbok and Twitter Google search engine ▫gather email addresses Facebook ▫personal information 9/14/2015 8

9 Find name and nickname Crawlers for extracting names ▫Facebook  fan pages ▫Twitter  crawled the accounts the user follows 9/14/2015 9

10 Google search engine Once the names have been harvested ▫8 different combinations  "term@hotmail.com", "term“, "term@msn.com", "term at “, "term@windowslive.com", "term@", "term@gmail.com", "term@yahoo.com" ▫retrieve the first 50 results ▫parse the two-line summary provided 9/14/2015 10

11 Blind Harvesting (1/2) Able to harvest, on average ▫45 emails per name for the Facebook names ▫25 emails per name for the Twitter nicknames 9/14/2015 11

12 Blind Harvesting (2/2) Dictionary :http://wordnet.princeton.edu/ Surnames: http://www.census.gov/genealogy/www/data/ 9/14/2015 12

13 Targeted harvesting (1/3) Traditional phishing contain generic terms ▫“Dear user”, ”Dear customer”, ”Hello subscriber” Personalized phishing ▫Email look like they originate from a friend 9/14/2015 13

14 Targeted harvesting (2/3) Use the harvested email addresses in the Facebook search utility ▫gain profile The first technique ▫Uses information from the Facebook network  Successfully link 11.5% of the harvested names with their actual email address The second technique ▫Uses information from the Twitter network  43.4% of the profiles returned 9/14/2015 14

15 Targeted harvesting (3/3) The third technique ▫collected from other social networks ▫harvest profiles from Google Buzz  40.5% valid Gmail addresses 9/14/2015 15

16 Fetch name Method ▫facebook app ▫friend 9/14/2015 16

17 Permissions Read Permissions Write Permissions Page Permissions 9/14/2015 17

18 Basic profile 9/14/2015 18

19 9/14/2015 19

20 Facebook profile 9/14/2015 20

21 Content categorization 9/14/2015 21

22 Conclusions We present how information, that is publicly available in social networking sites ▫for harvesting email addresses ▫deploying personalized phishing campaigns We present two different approaches to harvesting email ▫greatly enhance the efficiency of a spam campaign 9/14/2015 22

23 Thanks for Your Attention Q & A 9/14/2015 23


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