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ASGARD allows organization to store more data than ever, while still gaining 2-3 orders of magnitude more speed and performance than traditional SIEMS.In this talk you can watch us analyze data real-time, learn more about our cluster and architecture, and see how we've integrated leading big data technologies to outperform expensive appliances with a fraction of the cost.That is, a JSP/WAR/ASPX file is deployed on the server (just as a web shell would be), and a Python script is executed on the attacker's system which performs TCP port-forwarding through that deployed server-side component.The tool also incorporates novel measures to make the network communication challenging to detect using traditional IDS/IPS/WAF-type systems. NET editions of the server-side component will be included in the initial open source release, but porting the component to other web application servers should be straightforward.Rethinking the cyber security problem as a data-centric problem led Accenture Labs Cyber Security team to use best of breed open source big-data tools and emerging technologies to accelerate detection, response, and hunting.Project ASGARD, utilizing new approaches such as graph databases and analysis, GPUs, and Spark, exploits the connected nature of cyber security data to give cyber analyst more efficient and effective tools to combat evolving cyber threats.However, taking full advantage of such a system typically requires a network-level connection between the attacker and the web application server.
Built with Spark notebook https://github.com/andypetrella/spark-notebook we are leveraging Apache Spark ( for scalable data processing and Ml Lib for an anlalytics API (
We went ahead and turned OSXCollector toolkit into AMIRA: Automated Malware Incident Response and Analysis service.
AMIRA turns the forensic information gathered by OSXCollector into actionable response plan, suggesting the infection source as well as suspicious files and domains requiring a closer look.
In addition, we will demonstrate how advanced data science can be used to identify threats and accelerate cyber analysis, instead of just adding more noise.
Crypto Ransomware has become a popular attack vector used by malicious actors to quickly turn infections into profits.
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Web application servers and appliances are often one of the most highly-visible entry points into an organization or high-security network.