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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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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
Mobile Banking Malware Up 50% in First Half of 2019
Kelly Sheridan, Staff Editor, Dark Reading,  1/17/2020
7 Tips for Infosec Pros Considering A Lateral Career Move
Kelly Sheridan, Staff Editor, Dark Reading,  1/21/2020
For Mismanaged SOCs, The Price Is Not Right
Kelly Sheridan, Staff Editor, Dark Reading,  1/22/2020
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CVE-2020-7245
PUBLISHED: 2020-01-23
Incorrect username validation in the registration processes of CTFd through 2.2.2 allows a remote attacker to take over an arbitrary account after initiating a password reset. This is related to register() and reset_password() in auth.py. To exploit the vulnerability, one must register with a userna...
CVE-2019-14885
PUBLISHED: 2020-01-23
A flaw was found in the JBoss EAP Vault system in all versions before 7.2.6.GA. Confidential information of the system property's security attribute value is revealed in the JBoss EAP log file when executing a JBoss CLI 'reload' command. This flaw can lead to the exposure of confidential information...
CVE-2019-17570
PUBLISHED: 2020-01-23
An untrusted deserialization was found in the org.apache.xmlrpc.parser.XmlRpcResponseParser:addResult method of Apache XML-RPC (aka ws-xmlrpc) library. A malicious XML-RPC server could target a XML-RPC client causing it to execute arbitrary code. Apache XML-RPC is no longer maintained and this issue...
CVE-2020-6007
PUBLISHED: 2020-01-23
Philips Hue Bridge model 2.X prior to and including version 1935144020 contains a Heap-based Buffer Overflow when handling a long ZCL string during the commissioning phase, resulting in a remote code execution.
CVE-2012-4606
PUBLISHED: 2020-01-23
Citrix XenServer 4.1, 6.0, 5.6 SP2, 5.6 Feature Pack 1, 5.6 Common Criteria, 5.6, 5.5, 5.0, and 5.0 Update 3 contains a Local Privilege Escalation Vulnerability which could allow local users with access to a guest operating system to gain elevated privileges.