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Interview Benjamin Kunz Mejri - TechTalk Cairo TV

Interview with Benjamin Kunz Mejri on TechTalk Cairo TV. TV show discussing technical experience in the information technology sector, with a focus on cyber security and Middle East cyber threats

Code
Document Title:
===============
Interview Benjamin Kunz Mejri - TechTalk Cairo TV


References:
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http://www.vulnerability-lab.com/get_content.php?id=1692

Video: https://www.youtube.com/watch?v=QCOgmhVuQ6w



Release Date:
=============
2016-01-22


Vulnerability Laboratory ID (VL-ID):
====================================
1690


Common Vulnerability Scoring System:
====================================
5.8


Discovery Status:
=================
Published


Exploitation Technique:
=======================
TV Show


Severity Level:
===============
Medium


Technical Details & Description:
================================
The tv-show techtalk is about technical experience in the information technologie sector by cairo tv studios. Cyber security expert and host of a television show? 
It is not every day that we come across an IEEE volunteer involved in these two distinct fields. Dr. El Guindy is a frequent blogger on Middle East 
cyber security issues, human rights, digital surveillance and cyber threats. In addition, he publishes whitepapers on critical issues related to technology and 
Middle East. Furthermore, he is the author of variety of books, study guides and IT courses in English and Arabic which are approved by international reputable 
organizations. Dr. El Guindy was involved in developing Arabic booklets for an Internet Awareness Project “Saleem Net” in Saudi Arabia. Mohamed is an 
authority in the filed of cybercrime study in the Middle East and his contributions cited in UN reports and university research around the world.


Credits & Authors:
==================
Vulnerability Laboratory [Research Team] - Benjamin Kunz Mejri ([email protected]) [www.vulnerability-lab.com]


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=========================
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policies, deface websites, hack into databases or trade with fraud/stolen material.

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22 Jan 2016 00:00Current
0.3Low risk
Vulners AI Score0.3
32