Security News > 2020 > August > Adobe Open Sources Tool for Sanitizing Logs, Detecting Exposed Credentials
Adobe has made available in open source a tool designed to identify randomly generated strings in any plain text.
Dubbed Stringlifier, the tool was written in Python and leverages machine learning to differentiate random character sequences from normal text sequences.
Adobe says it has already used the tool to identify random strings when looking for anomalies in datasets, in addition to the open-source utility called Tripod.
The team used various approaches to pre-process and convert long strings into numerical form, but these approaches hit a roadblock when encountering random strings, disrupting the clustering algorithm.
"We hope you find stringlifier useful. The entire source-code is available in Adobe's GitHub repository. You can also find all of our other open source projects from across Adobe's security teams in that repository. We look forward to getting feedback and contributions are always welcome," Adobe notes.