PhishEye: Live Monitoring of Sandboxed Phishing Kits. Xiao Han Nizar Kheir Davide Balzarotti

Size: px
Start display at page:

Download "PhishEye: Live Monitoring of Sandboxed Phishing Kits. Xiao Han Nizar Kheir Davide Balzarotti"

Transcription

1 PhishEye: Live Monitoring of Sandboxed Phishing Kits Xiao Han Nizar Kheir Davide Balzarotti

2 Summary Motivation Sandboxed phishing kits Implementation Results

3 [APWG Phishing Activity Trends Report 2 nd Quarter 2016]

4 All time high record [APWG Phishing Activity Trends Report 2 nd Quarter 2016]

5 Motivation PKs monitored only after being detected by anti-phishing services

6 Motivation PKs monitored only after being detected by anti-phishing services Details about entire lifecycle of a phishing kit are still missing

7 Motivation PKs monitored only after being detected by anti-phishing services Details about entire lifecycle of a phishing kit are still missing 71.4% of the domains that hosted phishing pages were compromised websites [APWG global phishing report 2014]

8

9 Know your enemy: Phishing [Honeynet 05] Evil searching [FC 09]

10 Browser plugin: N. Chou [NDSS 04] User education: P. Kumaraguru [TOIT 10]

11 Learning to detect phishing s [WWW 07] Discovering phishing dropboxes using metadata [ecrime 12]

12 Detection: Cantina [WWW 07], C. Whittaker [NDSS 10] Blocking: Google Safe Browsing (GSB), Phish Tank, Take down: Examining the impact of website take-down on phishing [ecrime 07]

13 Handcrafted fraud and extortion [IMC 14]

14

15 Incomplete and fragmented view of PKs lifecycle

16 Web honeypot Attacker identification Privacy protection [Credits: Idea Sandbox, Neutronis ]

17 Sandboxed Phishing Kits Global Picture: Attackers, victims, and security researchers Phishing blacklist services Complete privacy protection

18 Implementation Web Honeypot 5 vulnerable web applications x 100 domain names D. Canali [NDSS 13]

19 Implementation Web Honeypot PK installation 5 vulnerable web applications x 100 domain names D. Canali [NDSS 13]

20 Implementation Web Honeypot PK installation 5 vulnerable web applications x 100 domain names Attacker Identification D. Canali [NDSS 13]

21 Implementation Web Honeypot 5 vulnerable web applications x 100 domain names Attacker Identification D. Canali [NDSS 13] Attacker Tracking

22 Implementation Web Honeypot 5 vulnerable web applications x 100 domain names Attacker Identification D. Canali [NDSS 13] YES Attacker Tracking

23 Implementation Web Honeypot Checking 5 vulnerable web applications x 100 domain names Attacker Identification D. Canali [NDSS 13] YES Attacker Tracking

24 Implementation Web Honeypot Checking 5 vulnerable web applications x 100 domain names Attacker Identification D. Canali [NDSS 13] YES Attacker Tracking

25 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names D. Canali [NDSS 13]

26 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names Attacker D. Canali [NDSS 13] Tracking

27 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names Attacker D. Canali [NDSS 13] Tracking NO Client-side Data Mangling

28 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names Attacker D. Canali [NDSS 13] Tracking Inject JavaScript to prevent data leakage NO Client-side Data Mangling

29 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names Attacker D. Canali [NDSS 13] Tracking Inject JavaScript to prevent data leakage NO Client-side Data Mangling

30 Implementation Web Honeypot Victims 5 vulnerable web applications x 100 domain names Attacker D. Canali [NDSS 13] Tracking Inject JavaScript to prevent data leakage Server-side Protection NO Client-side Data Mangling

31 Overview Five months from September 2015 to the end of January phishing kits (PayPal, Apple, Google, Facebook ) Installation Upload 1min

32 Overview Five months from September 2015 to the end of January phishing kits (PayPal, Apple, Google, Facebook ) Installation Testing Upload 1min 10min

33 Overview Five months from September 2015 to the end of January phishing kits (PayPal, Apple, Google, Facebook ) Installation Testing First victim Upload 1min 10min 2 days

34 Overview Five months from September 2015 to the end of January phishing kits (PayPal, Apple, Google, Facebook ) Installation Testing First victim Last victim Upload 1min 10min 2 days 10 days

35 Overview Five months from September 2015 to the end of January phishing kits (PayPal, Apple, Google, Facebook ) Installation Testing First victim Last victim Blacklist Upload 1min 10min 2 days 10 days 12 days

36 Phishing Attack Global Picture

37 Phishing Attack Global Picture

38 Phishing Attack Global Picture

39 Phishing Attack Global Picture

40 Phishing Attack Global Picture Installation was very quick

41 Phishing Attack Global Picture 471 attackers (IP, User Agent) 70% visited the phishing pages 58% submitted fake credentials

42 Phishing Attack Global Picture Only one attempt to use the compromised system to send the phishing s

43 Phishing Attack Global Picture 2,468 potential victims connected to 127 distinct phishing kits 215 users (9%) posted credentials

44 Phishing Attack Global Picture Estimated lifetime is eight days on average.

45 Phishing Attack Global Picture 98% blacklisted by GSB and Phish Tank Average detection latency is 12 days Fire-and-forget approach

46 Blacklist Evasion $random=rand(0, ); $md5=md5("$random"); $base=base64_encode($md5); $dst=md5("$base"); New connection

47 Blacklist Evasion $random=rand(0, ); $md5=md5("$random"); $base=base64_encode($md5); $dst=md5("$base"); $src= source"; recursive_copy( $src, $dst ); New connection Copy

48 Blacklist Evasion $random=rand(0, ); $md5=md5("$random"); $base=base64_encode($md5); $dst=md5("$base"); Redirection $src= source"; recursive_copy( $src, $dst ); header("location:$dst"); Copy

49 Blacklist Evasion [12/Nov/2015:18:57:41] 14.xx.xxx.198 GET /kit/ 302 User-Agent: curl/ First connection

50 Blacklist Evasion [12/Nov/2015:18:57:41] 14.xx.xxx.198 GET /kit/ 302 User-Agent: curl/ First connection [12/Nov/2015:19:01:35] 213.xx.xxx.100 GET /kit/8c5fcf4518e94a9f272d60ee75c309a7 301 User-Agent: Mozilla/4.0 [12/Nov/2015:19:20:45] 213.xx.xxx.100 GET /kit/8c5fcf4518e94a9f272d60ee75c309a7/redirection.php 200 User-Agent: Mozilla/4.0 Reported phishing URL

51 Early Victims After? blacklisting? After blacklisting

52 Early Victims Before blacklisting After blacklisting Before blacklisting After blacklisting

53 Flash Crowd Effect? After blacklisting

54 Flash Crowd Effect Before blacklisting After blacklisting Third party visitors: Universities Security vendors

55 Real-time Drop Detection 68 distinct drop addresses (Gmail, Yahoo, ) Only 4 were disabled or unreachable

56 Conclusion Novel approach to sandbox live phishing kits Observe the entire lifecycle of a phishing kit Findings Attackers manually test their PKs Separate hosting and spamming infrastructures Many PKs with few victims each Blacklist very effective to protect users, but detection is not fast enough Attackers move quickly between PKs once they get blacklisted

57

58 Appendix Elimination of Other Malicious Files Heuristics Manual classification

59 Appendix Data Exfiltration by Client-Side Side Channels Disguised as a HTML img Defeated by our client-side protection

Manually Create Phishing Page For Facebook 2014

Manually Create Phishing Page For Facebook 2014 Manually Create Phishing Page For Facebook 2014 While you are creating phishing page manually you have to do a lot of work Web Templates -- For importing premade template for Gmail, Facebook from SET.

More information

Copyright 2014 NTT corp. All Rights Reserved.

Copyright 2014 NTT corp. All Rights Reserved. Credential Honeytoken for Tracking Web-based Attack Cycle Mitsuaki Akiyama (akiama.mitsuaki@lab.ntt.co.jp) NTT Secure Platform Laboratories / NTT-CERT Who I am Mitsuaki Akiyama Security Researcher (Ph.D)

More information

The Highly Insidious Extreme Phishing Attacks

The Highly Insidious Extreme Phishing Attacks The Highly Insidious Extreme Phishing Attacks Rui Zhao, Samantha John, Stacy Karas, Cara Bussell, Jennifer Roberts, Daniel Six, Brandon Gavett, and Chuan Yue Colorado School of Mines, Golden, CO 80401

More information

Web Application Security. Philippe Bogaerts

Web Application Security. Philippe Bogaerts Web Application Security Philippe Bogaerts OWASP TOP 10 3 Aim of the OWASP Top 10 educate developers, designers, architects and organizations about the consequences of the most common web application security

More information

Is Browsing Safe? Web Browser Security. Subverting the Browser. Browser Security Model. XSS / Script Injection. 1. XSS / Script Injection

Is Browsing Safe? Web Browser Security. Subverting the Browser. Browser Security Model. XSS / Script Injection. 1. XSS / Script Injection Is Browsing Safe? Web Browser Security Charlie Reis Guest Lecture - CSE 490K - 5/24/2007 Send Spam Search Results Change Address? Install Malware Web Mail Movie Rentals 2 Browser Security Model Pages are

More information

OpenID Security Analysis and Evaluation

OpenID Security Analysis and Evaluation University of British Columbia OpenID Security Analysis and Evaluation San-Tsai Sun, Kirstie Hawkey, Konstantin Beznosov Laboratory for Education and Research in Secure Systems Engineering (LERSSE) University

More information

Unique Phishing Attacks (2008 vs in thousands)

Unique Phishing Attacks (2008 vs in thousands) The process of attempting to acquire sensitive information, such as usernames, passwords and credit card details by masquerading as a trustworthy entity in an electronic communication. In the 2 nd half

More information

Discovering Phishing Dropboxes Using Metadata

Discovering Phishing Dropboxes Using  Metadata Discovering Phishing Dropboxes Using Email Metadata Tyler Moore 1 and Richard Clayton 2 Computer Science & Engineering Department, Southern Methodist University, Dallas, TX 1 Computer Laboratory, University

More information

PEOPLE CENTRIC SECURITY THE NEW

PEOPLE CENTRIC SECURITY THE NEW PEOPLE CENTRIC SECURITY THE NEW PARADIGM IN CYBERSECURITY David Karlsson SE Nordics March 2018 1 2018 Proofpoint, Inc. Proofpoint at a Glance LEADING CUSTOMERS DEEP SECURITY DNA UNIQUE VISIBILITY PARTNERS

More information

Customer A - Dropbox. Issued to: Report date:

Customer A - Dropbox. Issued to: Report date: Customer A - Dropbox Issued to: example@example.com Report date: 2015-03-03 Example - dropbox 2015-03-03 Table of Contents Overview 3 Summary 3 Findings 4 User Activities 5 Over time 5 Activity bands 5

More information

CE Advanced Network Security Phishing I

CE Advanced Network Security Phishing I CE 817 - Advanced Network Security Phishing I Lecture 15 Mehdi Kharrazi Department of Computer Engineering Sharif University of Technology Acknowledgments: Some of the slides are fully or partially obtained

More information

Phishing URLs and Decision Trees. Hitesh Dharmdasani

Phishing URLs and Decision Trees. Hitesh Dharmdasani Phishing URLs and Decision Trees Hitesh Dharmdasani Who am I? Cyber Crime, Internet threats, Malcode, Privacy, etc GIT > George Mason > UC Berkeley > FireEye > With you Currently Informant Networks & Centre

More information

JPCERT/CC Incident Handling Report [January 1, March 31, 2018]

JPCERT/CC Incident Handling Report [January 1, March 31, 2018] JPCERT-IR-2018-01 Issued: 2018-04-12 JPCERT/CC Incident Handling Report [January 1, 2018 - March 31, 2018] 1. About the Incident Handling Report JPCERT Coordination Center (herein, JPCERT/CC) receives

More information

Phishing Read Behind The Lines

Phishing Read Behind The Lines Phishing Read Behind The Lines Veljko Pejović veljko@cs.ucsb.edu What is Phishing? "Phishing attacks use both social engineering and technical subterfuge to steal consumers' personal identity data and

More information

Bank of america report phishing

Bank of america report phishing Search Search pages & people Search Search Search pages & people Search Bank of america report phishing email We recently discovered a new phishing scam from a Bank of America spam email some reports that

More information

NET 311 INFORMATION SECURITY

NET 311 INFORMATION SECURITY NET 311 INFORMATION SECURITY Networks and Communication Department Lec12: Software Security / Vulnerabilities lecture contents: o Vulnerabilities in programs Buffer Overflow Cross-site Scripting (XSS)

More information

Assessing the Gap: Measure the Impact of Phishing on an Organization

Assessing the Gap: Measure the Impact of Phishing on an Organization Annual ADFSL Conference on Digital Forensics, Security and Law 2016 May 26th, 9:00 AM Assessing the Gap: Measure the Impact of Phishing on an Organization Brad Wardman PayPal Inc., brad.wardman@yahoo.com

More information

Security Analysis of Top Visited Arabic Web Sites

Security Analysis of Top Visited Arabic Web Sites Security Analysis of Top Visited Arabic Web Sites Abdulrahman Alarifi, Mansour Alsaleh Computer Research Institute, King Abdulaziz City for and Technology, Riyadh, KSA {aarifi, maalsaleh}@kacst.edu.sa

More information

BlackHole Exploit Kit Spam Runs in 2012 Presented at Ruxcon. Jon Oliver trendmicro.com

BlackHole Exploit Kit Spam Runs in 2012 Presented at Ruxcon. Jon Oliver trendmicro.com BlackHole Exploit Kit Spam Runs in 2012 Presented at Ruxcon Jon Oliver jon_oliver @ trendmicro.com Classification 10/22/2012 Copyright 2009 Trend Micro Inc. 1 Outline The current state of Phishing Summary

More information

PREVENTING FROM PHISHING ATTACK BY IMPLEMENTING URL PATTERN MATCHING TECHNIQUE IN WEB

PREVENTING FROM PHISHING ATTACK BY IMPLEMENTING URL PATTERN MATCHING TECHNIQUE IN WEB International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 9, September 2017, pp. 1200 1208, Article ID: IJCIET_08_09_135 Available online at http://http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=9

More information

ANATOMY OF A SPEAR PHISHING ATTACK. A Menlo Security Research Report

ANATOMY OF A SPEAR PHISHING ATTACK. A Menlo Security Research Report ANATOMY OF A SPEAR PHISHING ATTACK A Menlo Security Research Report Overview Today s CISOs are trying unsuccessfully to mitigate the threat of malware and credential theft, the two greatest risks associated

More information

Attacks Against Websites. Tom Chothia Computer Security, Lecture 11

Attacks Against Websites. Tom Chothia Computer Security, Lecture 11 Attacks Against Websites Tom Chothia Computer Security, Lecture 11 A typical web set up TLS Server HTTP GET cookie Client HTML HTTP file HTML PHP process Display PHP SQL Typical Web Setup HTTP website:

More information

File Exchange guide Uploading data files

File Exchange guide Uploading data files File Exchange guide Uploading data files Last updated: June 2013 Content 1. Introduction to File Exchange... 2 2. Accessing File Exchange... 3 3. Uploading data files to ICNARC... 4 4. Appendix... 9 File

More information

CSCE 813 Internet Security Case Study II: XSS

CSCE 813 Internet Security Case Study II: XSS CSCE 813 Internet Security Case Study II: XSS Professor Lisa Luo Fall 2017 Outline Cross-site Scripting (XSS) Attacks Prevention 2 What is XSS? Cross-site scripting (XSS) is a code injection attack that

More information

Robust Defenses for Cross-Site Request Forgery Review

Robust Defenses for Cross-Site Request Forgery Review Robust Defenses for Cross-Site Request Forgery Review Network Security Instructor:Dr. Shishir Nagaraja Submitted By: Jyoti Leeka October 16, 2011 1 Introduction to the topic and the reason for the topic

More information

Online (in)security: The current threat landscape Nikolaos Tsalis

Online (in)security: The current threat landscape Nikolaos Tsalis Online (in)security: The current threat landscape Nikolaos Tsalis November 2015 Online (in)security: The current threat landscape Nikolaos Tsalis (ntsalis@aueb.gr) Information Security & Critical Infrastructure

More information

Detecting Malicious Web Links and Identifying Their Attack Types

Detecting Malicious Web Links and Identifying Their Attack Types Detecting Malicious Web Links and Identifying Their Attack Types Anti-Spam Team Cellopoint July 3, 2013 Introduction References A great effort has been directed towards detection of malicious URLs Blacklisting

More information

X-ARF: A Reporting and Exchange Format for the Data Exchange of Netflow and Honeypot Data

X-ARF: A Reporting and Exchange Format for the Data Exchange of Netflow and Honeypot Data X-ARF: A Reporting and Exchange Format for the Data Exchange of Netflow and Honeypot Data Jan Kohlrausch, Sven Übelacker, GÉANT 3 JRA2 T4: Internal deliverable DFN-CERT Services GmbH Hamburg, Germany Email:

More information

Fighting Spam, Phishing and Malware With Recurrent Pattern Detection

Fighting Spam, Phishing and Malware With Recurrent Pattern Detection Fighting Spam, Phishing and Malware With Recurrent Pattern Detection White Paper September 2017 www.cyren.com 1 White Paper September 2017 Fighting Spam, Phishing and Malware With Recurrent Pattern Detection

More information

Webroot Phishing Threat Trends

Webroot Phishing Threat Trends December 2016 Webroot Phishing Threat Trends An update to the 2016 Threat Brief Introduction Who would ever fall for that? That s what many people think when they see a phishing attempt, since less advanced

More information

Automated Discovery of Parameter Pollution Vulnerabilities in Web Applications

Automated Discovery of Parameter Pollution Vulnerabilities in Web Applications Automated Discovery of Parameter Pollution Vulnerabilities in Web Applications Marco Balduzzi, Carmen Torrano Gimenez, Davide Balzarotti, and Engin Kirda NDSS 2011 The Web as We Know It 2 Has evolved from

More information

WEB SECURITY WORKSHOP TEXSAW Presented by Solomon Boyd and Jiayang Wang

WEB SECURITY WORKSHOP TEXSAW Presented by Solomon Boyd and Jiayang Wang WEB SECURITY WORKSHOP TEXSAW 2014 Presented by Solomon Boyd and Jiayang Wang Introduction and Background Targets Web Applications Web Pages Databases Goals Steal data Gain access to system Bypass authentication

More information

More attacks on clients: Click-jacking/UI redressing, CSRF

More attacks on clients: Click-jacking/UI redressing, CSRF Web Security More attacks on clients: Click-jacking/UI redressing, CSRF (Section 7.2.3 on Click-jacking; Section 7.2.7 on CSRF; Section 7.2.8 on Defenses against client-side attacks) 1 Recall from last

More information

JPCERT/CC Incident Handling Report [October 1, 2015 December 31, 2015]

JPCERT/CC Incident Handling Report [October 1, 2015 December 31, 2015] JPCERT-IR-2015-05 Issued: 2016-01-14 JPCERT/CC Incident Handling Report [October 1, 2015 December 31, 2015] 1. About the Incident Handling Report JPCERT Coordination Center (herein, JPCERT/CC) receives

More information

XSSFor the win! What can be really done with Cross-Site Scripting.

XSSFor the win! What can be really done with Cross-Site Scripting. XSSFor the win! What can be really done with Cross-Site Scripting by @brutelogic Whoami Security Researcher at Sucuri Security (a GoDaddy company) XSS, filter/waf bypass and bash! Helped to fix more than

More information

Information Security CS 526 Topic 11

Information Security CS 526 Topic 11 Information Security CS 526 Topic 11 Web Security Part 1 1 Readings for This Lecture Wikipedia HTTP Cookie Same Origin Policy Cross Site Scripting Cross Site Request Forgery 2 Background Many sensitive

More information

OWASP AppSec Research The OWASP Foundation New Insights into Clickjacking

OWASP AppSec Research The OWASP Foundation  New Insights into Clickjacking New Insights into Clickjacking Marco `embyte` Balduzzi iseclab @ EURECOM embyte@iseclab.org AppSec Research 2010 Joint work with Egele, Kirda, Balzarotti and Kruegel Copyright The Foundation Permission

More information

Robust Defenses for Cross-Site Request Forgery

Robust Defenses for Cross-Site Request Forgery Robust Defenses for Cross-Site Request Forgery Tsampanaki Nikoleta Lilitsis Prodromos Gigis Petros Paper Authors: Adam Barth, Collin Jackson, John C. Mitchell Outline What is CSRF attack? What is a login

More information

CHAPTER 5 URL ANALYSIS

CHAPTER 5 URL ANALYSIS 112 CHAPTER 5 URL ANALYSIS 5.1 INTRODUCTION The Web has become a platform for supporting a wide range of criminal enterprises such as spam-advertised commerce, financial fraud and as a vector for propagating

More information

Information Security CS 526 Topic 8

Information Security CS 526 Topic 8 Information Security CS 526 Topic 8 Web Security Part 1 1 Readings for This Lecture Wikipedia HTTP Cookie Same Origin Policy Cross Site Scripting Cross Site Request Forgery 2 Background Many sensitive

More information

Webomania Solutions Pvt. Ltd. 2017

Webomania Solutions Pvt. Ltd. 2017 The other name for link manipulation is Phishing or you can say link manipulation is type of phishing attack done generally to mislead the user to a replica website or a looka-like of some well-known site.

More information

Phishing Activity Trends Report August, 2006

Phishing Activity Trends Report August, 2006 Phishing Activity Trends Report, 26 Phishing is a form of online identity theft that employs both social engineering and technical subterfuge to steal consumers' personal identity data and financial account

More information

Anti-Phishing Working Group

Anti-Phishing Working Group Phishing Attack Trends Report April, 2004 Phishing attacks use spoofed e-mails and fraudulent websites designed to fool recipients into divulging personal financial data such as credit card numbers, account

More information

CSC 482/582: Computer Security. Cross-Site Security

CSC 482/582: Computer Security. Cross-Site Security Cross-Site Security 8chan xss via html 5 storage ex http://arstechnica.com/security/2015/09/serious- imgur-bug-exploited-to-execute-worm-like-attack-on- 8chan-users/ Topics 1. Same Origin Policy 2. Credential

More information

deseo: Combating Search-Result Poisoning Yu USF

deseo: Combating Search-Result Poisoning Yu USF deseo: Combating Search-Result Poisoning Yu Jin @MSCS USF Your Google is not SAFE! SEO Poisoning - A new way to spread malware! Why choose SE? 22.4% of Google searches in the top 100 results > 50% for

More information

Cyber Security Guide. For Politicians and Political Parties

Cyber Security Guide. For Politicians and Political Parties Cyber Security Guide For Politicians and Political Parties Indian Election Integrity Initiative Design by ccm.design Cover Image by Paul Dufour Helping to Safeguard the Integrity of the Electoral Process

More information

Competitive Matrix - IRONSCALES vs Alternatives

Competitive Matrix - IRONSCALES vs Alternatives Competitive Matrix - IRONSCALES vs Alternatives Traditional Awareness and Training Features IRONSCALES SEG PhishMe Wombat Knowbe4 Sans Institute Simulation & Training Compliance PCI/DSS, HIPAA, GLBA to

More information

Twi$er s Trending Topics exploita4on pa$erns

Twi$er s Trending Topics exploita4on pa$erns Twi$er s Trending Topics exploita4on pa$erns Despoina Antonakaki Paraskevi Fragopoulou, So6ris Ioannidis isocial Mee6ng, February 4-5th, 2014 Online Users World popula6ons percentage of online users: 39%

More information

EXPLOIT KITS. Tech Talk - Fall Josh Stroschein - Dakota State University

EXPLOIT KITS. Tech Talk - Fall Josh Stroschein - Dakota State University EXPLOIT KITS Tech Talk - Fall 2016 Josh Stroschein - Dakota State University Delivery Methods Spam/Spear-phishing Delivery Methods Spam/Spear-phishing Office Documents Generally refer to MS office suite

More information

The security of Mozilla Firefox s Extensions. Kristjan Krips

The security of Mozilla Firefox s Extensions. Kristjan Krips The security of Mozilla Firefox s Extensions Kristjan Krips Topics Introduction The extension model How could extensions be used for attacks - website defacement - phishing attacks - cross site scripting

More information

RSA FRAUDACTION ANTI-PHISHING SERVICE: BENEFITS OF A COMPREHENSIVE MITIGATION STRATEGY

RSA FRAUDACTION ANTI-PHISHING SERVICE: BENEFITS OF A COMPREHENSIVE MITIGATION STRATEGY RSA FRAUDACTION ANTI-PHISHING SERVICE: BENEFITS OF A COMPREHENSIVE MITIGATION STRATEGY RSA CYOTA PROJECT PROPOSAL RSA FRAUDACTION ANTI-PHISHING SERVICE V.1 2011 Overview This brief highlights the benefits

More information

Phishing. Eugene Davis UAH Information Security Club April 11, 2013

Phishing. Eugene Davis UAH Information Security Club April 11, 2013 Phishing Eugene Davis UAH Information Security Club April 11, 2013 Overview A social engineering attack in which the attacker impersonates a trusted entity Attacker attempts to retrieve privileged information

More information

Big Trends in IT and how they shape Security. Gerhard Eschelbeck, CTO

Big Trends in IT and how they shape Security. Gerhard Eschelbeck, CTO Big Trends in IT and how they shape Security Gerhard Eschelbeck, CTO Industry Trends #1 The Rapidly Growing Demand for Processing and Data Storage Google processes 20 PB a day London s traffic cams processing

More information

TOP 10 IT SECURITY ACTIONS TO PROTECT INTERNET-CONNECTED NETWORKS AND INFORMATION

TOP 10 IT SECURITY ACTIONS TO PROTECT INTERNET-CONNECTED NETWORKS AND INFORMATION INFORMATION TECHNOLOGY SECURITY GUIDANCE TOP 10 IT SECURITY ACTIONS TO PROTECT INTERNET-CONNECTED NETWORKS AND INFORMATION ITSM.10.189 October 2017 INTRODUCTION The Top 10 Information Technology (IT) Security

More information

A Lightweight Framework for Detection and Resolution for Phishing, Pharming and Spoofing

A Lightweight Framework for Detection and Resolution for Phishing, Pharming and  Spoofing A Lightweight Framework for Detection and Resolution for Phishing, Pharming and Email Spoofing Pooja Modi 1, Hardik Upadhyay 2, Ketan Modi 3, Krunal Suthar 4 ME Student, Department of Computer Engineering,

More information

Phishing Activity Trends Report October, 2004

Phishing Activity Trends Report October, 2004 Phishing Activity Trends Report October, 2004 Phishing is a form of online identity theft that uses spoofed emails designed to lure recipients to fraudulent websites which attempt to trick them into divulging

More information

Don t blink or how to create secure software. Bozhidar Bozhanov, LogSentinel

Don t blink or how to create secure software. Bozhidar Bozhanov, LogSentinel Don t blink or how to create secure software Bozhidar Bozhanov, CEO @ LogSentinel About me Senior software engineer and architect Founder & CEO @ LogSentinel Former IT and e-gov advisor to the deputy prime

More information

PROTECTING YOUR BUSINESS ASSETS

PROTECTING YOUR BUSINESS ASSETS PROTECTING YOUR BUSINESS ASSETS How to Spot Danger Before Your Computer Gets Infected, Your Site Hosts Malware, and Your Credit Card Number Gets Stolen A MyNAMS Presentation by Regina Smola @2012 Regina

More information

WEB BROWSER SANDBOXING: SECURITY AGAINST WEB ATTACKS

WEB BROWSER SANDBOXING: SECURITY AGAINST WEB ATTACKS WEB BROWSER SANDBOXING: SECURITY AGAINST WEB ATTACKS AVAR 2011 by Rajesh Nikam Security Simplified CONTENTS Rise of Web Attacks Application Vulnerabilities Existing Protection Mechanisms Need for Effective

More information

0. Introduction On-demand. Manual Backups Full Backup Custom Backup Store Your Data Only Exclude Folders.

0. Introduction On-demand. Manual Backups Full Backup Custom Backup Store Your Data Only Exclude Folders. Backup & Restore 0. Introduction..2 1. On-demand. Manual Backups..3 1.1 Full Backup...3 1.2 Custom Backup 5 1.2.1 Store Your Data Only...5 1.2.2 Exclude Folders.6 1.3 Restore Your Backup..7 2. On Schedule.

More information

Lecture Overview. IN5290 Ethical Hacking

Lecture Overview. IN5290 Ethical Hacking Lecture Overview IN5290 Ethical Hacking Lecture 6: Web hacking 2, Cross Site Scripting (XSS), Cross Site Request Forgery (CSRF), Session related attacks Universitetet i Oslo Laszlo Erdödi How to use Burp

More information

Lecture 6: Web hacking 2, Cross Site Scripting (XSS), Cross Site Request Forgery (CSRF), Session related attacks

Lecture 6: Web hacking 2, Cross Site Scripting (XSS), Cross Site Request Forgery (CSRF), Session related attacks IN5290 Ethical Hacking Lecture 6: Web hacking 2, Cross Site Scripting (XSS), Cross Site Request Forgery (CSRF), Session related attacks Universitetet i Oslo Laszlo Erdödi Lecture Overview How to use Burp

More information

CSE361 Web Security. Attacks against the client-side of web applications. Nick Nikiforakis

CSE361 Web Security. Attacks against the client-side of web applications. Nick Nikiforakis CSE361 Web Security Attacks against the client-side of web applications Nick Nikiforakis nick@cs.stonybrook.edu Despite the same origin policy Many things can go wrong at the client-side of a web application

More information

(System) Integrity attacks System Abuse, Malicious File upload, SQL Injection

(System) Integrity attacks System Abuse, Malicious File upload, SQL Injection Pattern Recognition and Applications Lab (System) Integrity attacks System Abuse, Malicious File upload, SQL Injection Igino Corona igino.corona (at) diee.unica.it Computer Security April 9, 2018 Department

More information

The Bots Are Coming The Bots Are Coming Scott Taylor Director, Solutions Engineering

The Bots Are Coming The Bots Are Coming Scott Taylor Director, Solutions Engineering The Bots Are Coming The Bots Are Coming Scott Taylor Director, Solutions Engineering Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information

More information

The Internet, the Web, and Electronic Commerce The McGraw-Hill Companies, Inc. All rights reserved.

The Internet, the Web, and Electronic Commerce The McGraw-Hill Companies, Inc. All rights reserved. Discuss the origins of the Internet and the Web. Describe how to access the Web using providers and browsers. Discuss Internet communications, including e- mail, instant messaging, social networking, blogs,

More information

WEB SECURITY: XSS & CSRF

WEB SECURITY: XSS & CSRF WEB SECURITY: XSS & CSRF CMSC 414 FEB 22 2018 Cross-Site Request Forgery (CSRF) URLs with side-effects http://bank.com/transfer.cgi?amt=9999&to=attacker GET requests should have no side-effects, but often

More information

Fighting Phishing with Discriminative Keypoint Features of Webpages

Fighting Phishing with Discriminative Keypoint Features of Webpages 1 Fighting Phishing with Discriminative Keypoint Features of Webpages Kuan-Ta Chen, Jau-Yuan Chen, Chun-Rong Huang, and Chu-Song Chen Institute of Information Science, Academia Sinica {ktchen, nckuos,

More information

Cross-Site Request Forgery: The Sleeping Giant. Jeremiah Grossman Founder and CTO, WhiteHat Security

Cross-Site Request Forgery: The Sleeping Giant. Jeremiah Grossman Founder and CTO, WhiteHat Security Cross-Site Request Forgery: The Sleeping Giant Jeremiah Grossman Founder and CTO, WhiteHat Security Cross-Site Request Forgeries (CSRF) 1. Session Riding 2. Client-Side Trojans 3. Confused Deputy 4. Web

More information

Temporal Correlations between Spam and Phishing Websites

Temporal Correlations between Spam and Phishing Websites Temporal Correlations between Spam and Phishing Websites, Richard Clayton and Henry Stern Center for Research on Computation and Society Harvard University USENIX LEET 09 Boston, MA April 21, 2009 Outline

More information

A Guide to Understand, Install and Use Pie Register WordPress Registration Plugin

A Guide to Understand, Install and Use Pie Register WordPress Registration Plugin A Guide to Understand, Install and Use Pie Register WordPress Registration Plugin 1 P a g e Contents 1. Introduction... 5 2. Who is it for?... 6 3. Community v/s PRO Version... 7 3.1. Which version is

More information

Proofpoint, Inc.

Proofpoint, Inc. 1 2018 Proofpoint, Inc. Juan Carlos Cabrera Country Manager Caribbean & Central America AMENAZAS EN EL 2018 SABES QUIEN ESTA UTILIZANDO TU DOMINIO? 2 2017 Proofpoint, Inc. Juan Carlos Cabrera Country Manager

More information

Wednesday, 10 October 2012 PRELIMINARY SLIDES

Wednesday, 10 October 2012 PRELIMINARY SLIDES PRELIMINARY SLIDES THIS WAY NO, it is not about horror stories concerning JavaScript WE ALL LOVE FEAR- MONGERING. Wednesday, 10 October 2012 starting with the credits... A Short History of the javascript

More information

Security+ Guide to Network Security Fundamentals, Third Edition. Chapter 3 Protecting Systems

Security+ Guide to Network Security Fundamentals, Third Edition. Chapter 3 Protecting Systems Security+ Guide to Network Security Fundamentals, Third Edition Chapter 3 Protecting Systems Objectives Explain how to harden operating systems List ways to prevent attacks through a Web browser Define

More information

Provide you with a quick introduction to web application security Increase you awareness and knowledge of security in general Show you that any

Provide you with a quick introduction to web application security Increase you awareness and knowledge of security in general Show you that any OWASP Top 10 Provide you with a quick introduction to web application security Increase you awareness and knowledge of security in general Show you that any tester can (and should) do security testing

More information

Base64 The Security Killer

Base64 The Security Killer Base64 The Security Killer Kevin Fiscus NWN Corporation Session ID: DAS-203 Session Classification: Intermediate A Short (Made Up) Security Story Helix Pharmaceuticals is concerned about security Industrial

More information

How to prevent phishing attacks? In 3 Pages. Author: Soroush Dalili irsdl {4t[ yahoo }d0t] com Website: Soroush.SecProject.

How to prevent phishing attacks? In 3 Pages. Author: Soroush Dalili   irsdl {4t[ yahoo }d0t] com Website: Soroush.SecProject. How to prevent phishing attacks? In 3 Pages Author: Soroush Dalili Email: irsdl {4t[ yahoo }d0t] com Website: Soroush.SecProject.Com March 2009 How to prevent phishing attacks? 1. Introduction Phishing

More information

NoScript, CSP and ABE: When The Browser Is Not Your Enemy

NoScript, CSP and ABE: When The Browser Is Not Your Enemy NoScript, CSP and ABE: When The Browser Is Not Your Enemy Giorgio Maone CTO, NoScript lead developer InformAction OWASP-Italy Day IV Milan 6th, November 2009 Copyright 2008 - The OWASP Foundation Permission

More information

Security Trend of New Computing Era

Security Trend of New Computing Era Security Trend of New Computing Era Presented by Roland Cheung HKCERT Agenda Security Threat Overview Introduction of Botnet Impact of Botnet Fight Back Botnet Security Protection Scheme Security Threat

More information

Threat Landscape 2017

Threat Landscape 2017 Pattern Recognition and Applications Lab WEB Security Giorgio Giacinto giacinto@diee.unica.it Computer Security 2018 Department of Electrical and Electronic Engineering University of Cagliari, Italy Threat

More information

P2_L12 Web Security Page 1

P2_L12 Web Security Page 1 P2_L12 Web Security Page 1 Reference: Computer Security by Stallings and Brown, Chapter (not specified) The web is an extension of our computing environment, because most of our daily tasks involve interaction

More information

High -Tech Bridge s Web Server Security Service API Developer Documentation Version v1.3 February 13 th 2018

High -Tech Bridge s Web Server Security Service API Developer Documentation Version v1.3 February 13 th 2018 HTB_WEBSECDOCS_v1.3.pdf Page 1 of 29 High -Tech Bridge s Web Server Security Service API Developer Documentation Version v1.3 February 13 th 2018 General Overview... 2 Meta-information... 4 HTTP Additional

More information

Phishing Activity Trends Report January, 2005

Phishing Activity Trends Report January, 2005 Phishing Activity Trends Report January, 2005 Phishing is a form of online identity theft that uses spoofed emails designed to lure recipients to fraudulent web sites which attempt to trick them into divulging

More information

MTAT Research Seminar in Cryptography The Security of Mozilla Firefox s Extensions

MTAT Research Seminar in Cryptography The Security of Mozilla Firefox s Extensions MTAT.07.019 Research Seminar in Cryptography The Security of Mozilla Firefox s Extensions Kristjan Krips 1 Introduction Mozilla Firefox has 24.05% of the recorded usage share of web browsers as of October

More information

How Enterprise Tackles Phishing. Nelson Yuen Technology Manager, Cybersecurity Microsoft Hong Kong

How Enterprise Tackles Phishing. Nelson Yuen Technology Manager, Cybersecurity Microsoft Hong Kong How Enterprise Tackles Phishing Nelson Yuen Technology Manager, Cybersecurity Microsoft Hong Kong Hackers turning to easy marks - Social engineering Phishing was the #1 threat vector (> 50%) for Office

More information

Protection of Web User s Privacy by Securing Browser from Web Privacy Attacks

Protection of Web User s Privacy by Securing Browser from Web Privacy Attacks Protection of Web User s Privacy by Securing Browser from Web Privacy Attacks Sanket Baviskar and Dr. P. Santhi Thilagam Department Of Computer Science and Engineering, National Institute Of Technology,

More information

CIS 4360 Secure Computer Systems XSS

CIS 4360 Secure Computer Systems XSS CIS 4360 Secure Computer Systems XSS Professor Qiang Zeng Spring 2017 Some slides are adapted from the web pages by Kallin and Valbuena Previous Class Two important criteria to evaluate an Intrusion Detection

More information

Self-Learning Systems for Network Intrusion Detection

Self-Learning Systems for Network Intrusion Detection Self-Learning Systems for Network Intrusion Detection Konrad Rieck Computer Security Group University of Göttingen GEORG-AUGUST-UNIVERSITÄT GÖTTINGEN About Me» Junior Professor for Computer Security» Research

More information

Phishing Activity Trends

Phishing Activity Trends Phishing Activity Trends Report for the Month of September, 2007 Summarization of September Report Findings The total number of unique phishing reports submitted to APWG in September 2007 was 38,514, an

More information

Cyber Hygiene Guide. Politicians and Political Parties

Cyber Hygiene Guide. Politicians and Political Parties Cyber Hygiene Guide Politicians and Political Parties Canadian Election Integrity Initiative Design by ccm.design Cover Image by Songquan Deng Helping to Safeguard the Integrity of the Electoral Process

More information

Secure Frame Communication in Browsers Review

Secure Frame Communication in Browsers Review Secure Frame Communication in Browsers Review Network Security Instructor:Dr. Shishir Nagaraja Submitted By: Jyoti Leeka October 16, 2011 1 Introduction to the topic and the reason for the topic being

More information

Hardening the Education. with NGFW. Narongveth Yutithammanurak Business Development Manager 23 Feb 2012

Hardening the Education. with NGFW. Narongveth Yutithammanurak Business Development Manager 23 Feb 2012 Hardening the Education IT Environment with NGFW Narongveth Yutithammanurak Business Development Manager 23 Feb 2012 Technology Trends Security Performance Bandwidth Efficiency Manageability Page 2 What

More information

ACS / Computer Security And Privacy. Fall 2018 Mid-Term Review

ACS / Computer Security And Privacy. Fall 2018 Mid-Term Review ACS-3921-001/4921-001 Computer Security And Privacy Fall 2018 Mid-Term Review ACS-3921/4921-001 Slides Used In The Course A note on the use of these slides: These slides has been adopted and/or modified

More information

Penetration Test Report

Penetration Test Report Penetration Test Report Feb 12, 2018 Ethnio, Inc. 6121 W SUNSET BLVD LOS angeles, CA 90028 Tel (888) 879-7439 ETHN.io Summary This document contains the most recent pen test results from our third party

More information

Author: Tonny Rabjerg Version: Company Presentation WSF 4.0 WSF 4.0

Author: Tonny Rabjerg Version: Company Presentation WSF 4.0 WSF 4.0 Author: Tonny Rabjerg Version: 20150730 Company Presentation WSF 4.0 WSF 4.0 Cybercrime is a growth industry. The returns are great, and the risks are low. We estimate that the likely annual cost to the

More information

Stop sweating the password and learn to love public key cryptography. Chris Streeks Solutions Engineer, Yubico

Stop sweating the password and learn to love public key cryptography. Chris Streeks Solutions Engineer, Yubico 1 Stop sweating the password and learn to love public key cryptography Chris Streeks Solutions Engineer, Yubico Stop Sweating the Password! 2 Agenda Introduction The modern state of Phishing How to become

More information

Phishing Activity Trends

Phishing Activity Trends Phishing Activity Trends Report for the Month of, 27 Summarization of Report Findings The number of phishing reports received rose to 24,853 in, an increase of over 1, from February but still more than

More information

Common Websites Security Issues. Ziv Perry

Common Websites Security Issues. Ziv Perry Common Websites Security Issues Ziv Perry About me Mitnick attack TCP splicing Sql injection Transitive trust XSS Denial of Service DNS Spoofing CSRF Source routing SYN flooding ICMP

More information

HTML5 Unbound: A Security & Privacy Drama. Mike Shema Qualys

HTML5 Unbound: A Security & Privacy Drama. Mike Shema Qualys HTML5 Unbound: A Security & Privacy Drama Mike Shema Qualys A Drama in Four Parts The Meaning & Mythology of HTML5 Security From Design Security (and Privacy) From HTML5 Design, Doom & Destiny This specification

More information

Security & Phishing

Security & Phishing Email Security & Phishing Best Practices In Cybersecurity Presenters Bill Shieh Guest Speaker Staff Engineer Information Security Ellie Mae Supervisory Special Agent Cyber Crime FBI 2 What Is Phishing?

More information