PERDIX: A FRAMEWORK FOR REALTIME BEHAVIORAL EVALUATION OF SECURITY THREATS IN CLOUD COMPUTING ENVIRONMENT
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1 PERDIX: A FRAMEWORK FOR REALTIME BEHAVIORAL EVALUATION OF SECURITY THREATS IN CLOUD COMPUTING ENVIRONMENT December 6, 2013 Julien Lavesque CTO Itrust j.lavesque@itrust.fr
2 Security experts company founded in 2007 Historical IT security services department Ø Pentests, forensic, organizational, training IKare solution publisher since 2012 Ø Vulnerability assessment and security monitoring solution Security expert for 10 years Specialized in mobility and Cloud Computing security ITrust CTO Pentest department leader 2
3 Context Traditional security products are no longer efficient against advanced targeted attacks and malwares. New generation SIEMs include behavior analysis engines to cover these threats. What about Cloud environment? Ø Ø Ø SIEM products not really adapted to Cloud. Logs and Flows are not available. Security controlled by cloud providers Conclusion: To perform behavior analysis in Cloud environment, data have to be collected by external sources. 3
4 Perdix framework Collect data in the cloud with external scanners IKare : the data collector ü Vulnerability assessment and security monitoring o Discover & identify services o Detect vulnerabilities & security misconfigurations ü QoS evaluation o Services availability & response time ü Cloud API o Bandwidth usage Targeted a*acks, o0en called APTs, penetrate exis8ng security controls, causing significant business damage. Enterprises need to focus on reducing vulnerabili8es and increasing monitoring capabili8es to deter or more quickly react to evolving threats. Source: Gartner 4
5 Perdix framework and analyze behaviors Perdix: the behavior analysis engine ü Analysis & learning o Statistical analysis & seasonality o Learning process o Data sources profile ü Correlation & Intelligence o Reduce false positive results o Correlation of different sources analysis o Expert system feed o Data sample deviation 5
6 Prac7cal example Malware behavior This example is based on a real malware ran into Perdix framework Malware behavior: ü Based on a known phpbb remote execution code vulnerability ü Bot downloaded on remote server ü Open IRC server to contact C&C server ü Run malicious command o Scan all machines to find open shares o Try to bruteforce shares access o Try to download data ü Upload collected data to server 6
7 Prac7cal example analysis Security analysis: ü Based on a known phpbb remote execution code vulnerability Vulnerability assessment scan detects the vulnerability ü Open IRC server to contact C&C server Security scan discovers and identify the service The new service differs from the server profile learned by Perdix Ø The behavior is flagged abnormal. Web server profile FTP SSH SMTP HTTP HTTPS MySQL 7
8 Prac7cal example analysis QoS analysis: ü Scan all machines to find open shares ü Try to bruteforce shares access The resources used to scan the network and bruteforce access slow down the treatment of legitimate request. The response time goes out of the threshold from the learned profile. Ø The behavior is flagged abnormal. 8
9 Prac7cal example analysis Bandwidth analysis: ü Bot downloaded on remote server Not significant to raise a flag ü Try to download data ü Upload collected data to server Ø The behavior is flagged abnormal. 9
10 Prac7cal example aler7ng Deviant behaviors shall be reported with sufficient information ü Visualize responsible data ü Understand elements triggering the alert in natural language Sufficient flags are raised to trigger an alert Alert Abnormal behavior detected Cri7cal Vulnerabili8es are detected on the server A new service (irc) is detected on the server A service (irc) does not correspond to normal behavior Server response 8me is out of normal behavior threshold Bandwidth usage exceeds normal behavior 10
11 Conclusion Combination between statistical and learning algorithms provide an efficient tool to detect unknown security issues in a non intrusive manner adapted to Cloud environment. Preliminary result on the implementation of the Perdix framework on forecasting are promising. The framework is now tested in a real environment to gather data which are requested for training the behavioral analysis module. A first version of the framework will be available mid-2014 as it is included in a French government call for projects called Secured Virtual Cloud 11
12 QUESTIONS? ITrust Head Office 55 Avenue l Occitane, BP Labège Cedex France +33 (0) contact@itrust.fr
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