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        "author": "Erwin Janssen",
        "author_email": "erwinjanssen@outlook.com",
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        "description": "# TLSprint\n\nFingerprint TLS implementations using state machines inferred by\n[StateLearner](https://github.com/jderuiter/statelearner/). StateLearner can\nlearn state machines for (in this case TLS) implementations using a black-box\napproach. Different implementations can have a different state machine, which\nmakes it possible to differentiate them. By combining these state machines into\na single tree, and then probing a live implementation, `tlsprint` makes it\npossible to fingerprint the TLS implementation running on the target.\n\n## Installation\n\nInstall the latest release from PyPi:\n\n```shell\npip install tlsprint\n```\n\n## Learn\n\n**Note**: This step is optional, a `model.p` is included in the distribution,\nwhich contains a model created using 27 unique state machines, representing 283\ndifferent TLS implementations. For the full list of implementations, check the\n`models` directory in the repository.\n\nAfter state machines are inferred using StateLearner, run\n\n```shell\ntlsprint learn <statelearner_output_dir> model.p\n```\n\nto merge all models together into a single\ntree. This tree is returned as a pickled `networkx` graph, and is required for\nthe `identify` step.\n\n## Identify\n\nWhen using the default model, identifying the TLS implementation on a target\ncan be done be running\n\n```shell\ntlsprint identify <target>\n```\n\nThis defaults to port 443, a custom port can be specified by adding\n`--target-port <port>`.\n\nThe command returns a list of possible implementations. All these\nimplementations share the same model, meaning `tlsprint` cannot further specify\nthe exact implementation.\n\nPassing `--graph-dir <output>` to the `identify` command, will write DOT files\nfor all intermediate versions of the model tree. This can be insightful to\nunderstand what `tlsprint` is doing.\n\nIf you learned a custom model using the `learn` command, you can override the\ndefault model using `--model <filename>`.\n\n\n",
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        "name": "tlsprint",
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        "summary": "Fingerprint TLS implementations",
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