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RevEng.AI Toolkit

Project description

reait

RevEng.AI Toolkit

Analyse compiled executable binaries using the RevEng.AI API.

Installation

Install the latest stable version using pip.

pip install reait

Latest development version

pip install -e .

Running reait

Analyse binary

reait -b /usr/bin/true -a

Extract symbol embeddings

reait -b /usr/bin/true -x > embeddings.json

Extract embedding for symbol at vaddr 0x19f0

reait -b /usr/bin/true -x | jq ".[] | select(.vaddr==$((0x19f0))).embedding" > embedding.json

Search for similar symbols based on JSON embedding file

reait -e embedding.json -n

Contact

Connect with us by filling out the contact form at RevEng.AI.

Project details


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Source Distribution

reait-0.0.2.tar.gz (15.8 kB view details)

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reait-0.0.2-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

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  • Download URL: reait-0.0.2.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for reait-0.0.2.tar.gz
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File details

Details for the file reait-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: reait-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for reait-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3172d58943f5d280c616e93bcf49f07663a8913c27e9d41b6ac5966e234537ba
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BLAKE2b-256 ae58b4e55f042efdf5a831455e97535e57e27752c5a3d3ec4044267bc9628a46

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