Comprehensive research is required to create the best detection rule for a new vulnerability or threat. But what does ‘best’ mean? Well, the interpretation of ‘best’ depends on what we know about the vulnerability, but sometimes key information may not be available. Therefore, to develop accurate detection rules that can track malicious activity, you must search for this information in non-traditional areas, like the binary code of malicious tools.
In this blog, we will detail the process of creating accurate network signatures by closely analyzing the source code of a backdoor exploit. Reverse engineering in network analysis is essential for building rules that can effectively detect malicious network packets, reduce false positives, and ultimately help defend against malicious threats to OT/IoT.
Let’s imagine that the only information available for a certain vulnerability is a basic, non-technical description of a router that executes commands and exploits created by the same researcher. Even with this limited information, it’s still possible to create the first rule to detect that exploitation. Figure 1 shows an example of intelligence and network traces harvested by Nozomi Networks Labs IoT honeypots. This example shows a network packet exploiting CVE-2022-27255, but the exploitation is not immediately clear. More context is needed in order to prevent false positives...read more!
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