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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-0.0.3.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

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reait-0.0.3-py3-none-any.whl (15.9 kB view details)

Uploaded Python 3

File details

Details for the file reait-0.0.3.tar.gz.

File metadata

  • Download URL: reait-0.0.3.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for reait-0.0.3.tar.gz
Algorithm Hash digest
SHA256 6339a78013418e900186f6b124f281faf07c412ab88ecfcc6d911dbdb8476905
MD5 f8ea3498c2e05bd0f04ddd0dd36084ca
BLAKE2b-256 a5ddbd42f4ea9c0df19a8e8d9d9f77776062b1bcdac20f248fc212b97f7be320

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File details

Details for the file reait-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: reait-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 15.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for reait-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 83d8c6e0ec6c9e740860011d73176ac71e01c92de176b488369bb5b59d3c06cd
MD5 83d99cbd5c9adec215efe29df89dde55
BLAKE2b-256 af6398ea6cd97ea2b12589a6dc27277ac12ad7c401d779e0d3c779229078a747

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