![]() ![]() This function can be very useful in a number of situations where the text you need is embedded within a larger block of text. Match groups can be accessed by other actions in the playbook by referencing oup_name, which you will see in some of our examples. We expect that the groupdict data path will be used far more often, but both are available for any times where the list might be needed instead. The Splunk Phantom platform combines security infrastructure orchestration, playbook automation, and case management capabilities to integrate your team, processes, and tools together. Splunk Phantom Security Orchestration & Automation. The outputs are provided as a list in the groups data path, and as a dictionary in the groupdict data path. Splunk Phantom is a world-class Security Orchestration, Automation, and Response (SOAR) system. Orchestra Group has acquired Israeli cybersecurity startup Cronus. Regex flags are supported using the standard Python syntax for them, which we’ll outline in our examples. We’re utilizing re.search rather than re.match as a convenience to anyone using the function the difference is that re.match forces the pattern to match at the start of the input, whereas re.search can apply to any part of the input. This add-on extracts CyberArk real-time privileged account activities (such as individual user activity. The function takes two inputs– input_text and regex –and outputs two data paths: groups and groupdict. The Splunk Add-on for CyberArk allows a Splunk software administrator to pull system logs and traffic statistics from Privileged Threat Analytics (PTA) 12.2 and Enterprise Password Vault (EPV) 12.2 using syslog in Common Event Format (CEF). ![]() Let’s jump right into reviewing the code:Īs you can see, there’s not a lot to this function. ![]() It supports all of the features of the Python regular expression library, and it will return groups to you as both numbered groups and as named groups. This function does what you’d expect it to do–given a string and a regular expression, it returns the matches to you. We’re going to open the series with a particularly versatile function, aptly named extract_regex. The sky’s the limit when it comes to what you can do in Phantom, but often the limiting factor is whether the actions and functions exist in Phantom to do what you want and, if not, whether you have the Python skills necessary to create them. The solution can ingest security events from various sources, letting you track, analyze, and triage events, and use playbooks to automate responses from one.REST API: Provides REST API endpoints for all. In this series, we’re going to explore a number of useful custom functions we’ve built at Hurricane Labs in order to increase the accessibility of playbook development. Welcome to the Phantom Function blog collection’s inaugural post. ![]()
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