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 Andrew Fast
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Profile of Andrew Fast

Chief Data Scientist and Co-Founder, Counterflow AI
Member Since: 1/21/2019
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News & Commentary Posts: 1
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Andrew Fast is the chief data scientist and co-founder of CounterFlow AI. CounterFlow AI builds advanced network traffic analysis solutions for world-class security operation centers (SOC). Previously, Dr. Fast served as the chief scientist at Elder Research, a leading data science consulting firm, where he helped hundreds of companies expand their data science capabilities. He is a frequent author, teacher, and invited speaker on data science topics. In 2012, he co-authored the book "Practical Text Mining, which was published by Elsevier and won the PROSE Award for top book in the field of Computing and Information Sciences for that year. His work on analyzing NFL coaching trees was featured on ESPN.com in 2009. Dr. Fast received PhD and MS degrees in Computer Science from the University of Massachusetts Amherst and a BS in Computer Science from Bethel University.

Articles by Andrew Fast
Why Vulnerable Code Is Shipped Knowingly
Chris Eng, Chief Research Officer, Veracode,  11/30/2020
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Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-5680
PUBLISHED: 2020-12-03
Improper input validation vulnerability in EC-CUBE versions from 3.0.5 to 3.0.18 allows a remote attacker to cause a denial-of-service (DoS) condition via unspecified vector.
CVE-2020-5638
PUBLISHED: 2020-12-03
Cross-site scripting vulnerability in desknet's NEO (desknet's NEO Small License V5.5 R1.5 and earlier, and desknet's NEO Enterprise License V5.5 R1.5 and earlier) allows remote attackers to inject arbitrary script via unspecified vectors.
CVE-2020-5676
PUBLISHED: 2020-12-03
GROWI v4.1.3 and earlier allow remote attackers to obtain information which is not allowed to access via unspecified vectors.
CVE-2020-5677
PUBLISHED: 2020-12-03
Reflected cross-site scripting vulnerability in GROWI v4.0.0 and earlier allows remote attackers to inject arbitrary script via unspecified vectors.
CVE-2020-5678
PUBLISHED: 2020-12-03
Stored cross-site scripting vulnerability in GROWI v3.8.1 and earlier allows remote attackers to inject arbitrary script via unspecified vectors.