Next, a scoring function grades the chunks of disassembly instructions, ranking instruction sequences with high opcode diversity above instruction sequences with low diversity. First, Capstone disassembles the binary and extracts the byte sequences associated with the instructions. In order to create detection signatures for Linux, we use automated methods to extract candidate signatures based on the disassembly of ELF binaries. Generating signatures using Capstone + VtGrep This capability currently offers coverage against 150+ unique families (Xmrig, Dofloo, Mirai, etc.) and across 13 different types of categories (Cryptominer, Exploit, Trojan, etc.). Elastic Security now supports powerful anti-malware capabilities. Linux malware protectionLinux events such as process, network, and file events along with out-of-the-box detection rules have been important parts of the Linux defense-in-depth strategy.
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By approaching signatures with machine learning methodologies to find significant byte sequences, we are able to use an iterative and more reliable approach than writing signatures based on an analyst’s interpretation of those byte sequences. For more context into this topic, feel free to check out Andrew Davis’ 2021 Black Hat presentation. With these observations in mind, our team is excited to have recently released a new Linux anti-malware capability leveraging machine learning techniques within the Elastic Security integration for Elastic Agent. Another similar case with a recent VMware vCenter Server vulnerability ( CVE-2021-22005) showed the same pattern where within hours of the security disclosure, malicious actors started mass scanning infrastructure targeting the vulnerability as well as performing active exploitation. Recent events such as the exploitation of the Open Management Infrastructure (OMI) agent through CVE-2021-38647, which is installed by many Azure Linux machines, represents how quickly adversaries are moving from a publicly released proof-of-concept (POC) to exploitation. In this blog, brought to you by Elastic’s Engineering Security Team, we lean into this recent advancement to show how we are protecting the world’s data from attack. With our recent 7.16 Elastic Security product release, we improved our existing Linux malware feature by adding memory protection.