Adobe tool named Dubbed Stringlifier is available as open source ,The Tool was written in Python and leverages machine learning to differentiate random character sequences from normal text sequences.
The tool has been pushed in adobe’s GitHub repository, however the software program large additionally made available a “pip” (python bundle installer) installation package with a pre-Trained version covered.
Dubbed Stringlifier, is helpful in analyzing Security and Application logs also while attempting to discover credentials.
but, while to discover credentials it leads to expose credentials.
Stringlifier easily helps to find hashes, API keys, random generated passwords , different types of random strings, logs and configuration files.
Adobe Team says that it’s a used tool that is used to identify random strings in the datasets,in addition to the open-source utility called tripod.
The group used various methods to pre-manner and convert long strings into numerical form, but these procedures hit a roadblock whilst encountering random strings, disrupting the clustering set of rules.
With the aid of changing all random character sequences with <RANDOM_STRING>, the team became able to organization comparable types of command traces less difficult, even if they employed random hashes in their parameters.
“we are hoping you find stringlifier useful. The complete source-code is available in adobe’s github repository. You can also find all of our different open source initiatives from throughout adobe’s safety groups in that repository. We sit up for getting remarks and contributions are always welcome,” adobe
The company also provides information on how to get started with using Stringlifier, as well as on how users can train their own models when looking to detect different types of strings.
