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Generate ASCII randomart by hashing input with BLAKE2b and using an adapted drunken bishop alogirthm.

Project description

randomart.py

CodeFactor

A script to present BLAKE2b hashes as small ASCII-art pictures, similarly to OpenSSH's randomart.

This allows easier verification by humans but may not be as secure as a bytewise comparison of the digest!

See the paper [Hash Visualization: a New Technique to improve Real-World Security1][^1] for more information on the concept of random art.

The paper [The drunken bishop: An analysis of the OpenSSH fingerprint visualization algorithm2][^2] analyses the OpenSSH implementation in more detail.

It should be explicitly noted that my algorithm is similar but not identical to the "drunken bishop" walk of the OpenSSH implementation. The implementation at hand:

  • flips sides at the borders, which turns the field into a torus
  • moves in all possible directions with distance 1, not only diagonally
  • does not mark start (S) and end (E) and uses a different character palette

I have not performed any similar analysis[2][^2] but would expect my implementation to perform no worse.

installation

Install with pip directly from GitHub:

pip install git+https://github.com/ansemjo/randomart

usage

The script expects a file in the first positional argument or otherwise simply reads from standard input. It is thus best suitable for usage in a pipe:

echo 'Hello, World!' | randomart.py

There are two flags to control the output:

  • --ascii use only ASCII characters for the box frame
  • --hash - print the computed digest before the randomart picture

Otherwise use randomart.py --help for usage help.

as a library

If you want to use your own hash you can import from random_art.randomart:

from random_art.randomart import draw, drunkenwalk
...

# generate your hash digest
digest = ...

# generate randomart, HASHNAME must be 10 characters
art = draw(drunkenwalk(digest), HASHNAME)
print(art)

[^1]:

http://www.ece.cmu.edu/~adrian/projects/validation/validation.pdf "Perrig A. and Song D., 1999, International Workshop on Cryptographic Techniques and E-Commerce (CrypTEC '99)"

[^2]:

http://www.dirk-loss.de/sshvis/drunken_bishop.pdf "Dirk Loss, Tobias Limmer, Alexander von Gernler, 2009"

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  • Download URL: randomart-0.2.3.tar.gz
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  • Size: 4.6 kB
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  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.9.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.3

File hashes

Hashes for randomart-0.2.3.tar.gz
Algorithm Hash digest
SHA256 ecc58aab305107615dfefde6fb23ed1f38bbc020ba1dee295d39e496861c8fb2
MD5 2664d59e107a326c0492dca5de74251c
BLAKE2b-256 ade8ff0d901ba33f6271263d996dc04b9d60ca0fffe2f833c2c70e779f2bb5ae

See more details on using hashes here.

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  • Download URL: randomart-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/40.9.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.3

File hashes

Hashes for randomart-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 cda445023d608b6e3b28f67bf860cb1b6d4e01a311b1c6862c6d53c392e1b000
MD5 140de3178287ece41567448422f3faba
BLAKE2b-256 78a520471b07b035cd4cc66f13e1d428b471918b6dd50d281b8cdcd1bb352dba

See more details on using hashes here.

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