Introducing Stringlifier – an Open Source String Detector

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Presented by

Andrei Cotaie, Sr. Security Engineer|Tiberiu Boros, Data Scientist & ML Engineer|Kumar Vikramjeet, Security Engineer at Adobe

About this talk

“1e32jnd9312”, “32189321-DEF3123-9898312”, “ADEFi382819312.” Do these strings seem familiar? They could be hashes, randomly generated passwords, API keys, or other useful information. They can be found in logs, command lines, configuration files, and source code. Whether you are analyzing logs or hunting for accidentally exposed credentials, they are not exactly easy to find because building a search pattern for something so random is a particularly hard task. To help solve this problem, we developed Stringlifier - an open-source application that allows you to detect these types of strings in any plain text. It leverages machine learning to distinguish between normal and random character sequences and can also be adapted for more fine-grained classifications. Join Andrei Cotaie, Sr. Security Engineer, Tiberiu Boros, Data Scientist & Machine Learning Engineer, and Kumar Vikramjeet, Security Engineer, as they introduce you to Stringlifier and how it can help you automate some common cloud security tasks. You will see examples of how to use it and also get information on how you can download and use it in your own environment.

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