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carpedm20/awesome-hacking 7088

A curated list of awesome Hacking tutorials, tools and resources

deveyNull/Getting-into-InfoSec-and-Cybersecurity 1

A shorter, less intimidating list of infosec resources helpful for anyone trying to learn.

deveyNull/Arnold 0

Arnold - DOOM Agent

deveyNull/at-ps 0

Adversary Tactics - PowerShell Training

deveyNull/awesome-ctf 0

A curated list of CTF frameworks, libraries, resources and softwares

deveyNull/awesome-hacking 0

A curated list of awesome Hacking tutorials, tools and resources

deveyNull/Awesome-Hacking-Resources 0

A collection of hacking / penetration testing resources to make you better!

deveyNull/awesome-infosec 0

A curated list of awesome infosec courses and training resources.

deveyNull/awesome-infosec-1 0

A curated list of awesome infosec blog posts, courses, books and more!

deveyNull/Beginner-Network-Pentesting 0

Notes for Beginner Network Pentesting Course

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issue closedJohannesBuchner/imagehash

Same hash for totally different images

I have two 640x360 png images. One contains only blue (0, 0, 254) and the other only white (255, 255, 255). I expect to get different perceptual hashes, but they are the same. Same thing using dhash, average_hash or phash_simple. Only colorhash seems to generate differents hashes:

i1 = Image.open("video_3517.png")
i2 = Image.open("video_3292.png")

print('Image1 phash : ', imagehash.phash(i1))
print('Image2 phash : ', imagehash.phash(i2))

print('Image1 dhash : ', imagehash.dhash(i1))
print('Image2 dhash : ', imagehash.dhash(i2))

print('Image1 average_hash : ', imagehash.average_hash(i1))
print('Image2 average_hash : ', imagehash.average_hash(i2))

print('Image1 phash_simple : ', imagehash.phash_simple(i1))
print('Image2 phash_simple : ', imagehash.phash_simple(i2))

print('Image1 colorhash : ', imagehash.colorhash(i1))
print('Image2 colorhash : ', imagehash.colorhash(i2))

Gives me

Image1 phash :  8000000000000000
Image2 phash :  8000000000000000
Image1 dhash :  0000000000000000
Image2 dhash :  0000000000000000
Image1 average_hash :  0000000000000000
Image2 average_hash :  0000000000000000
Image1 phash_simple :  0000000000000000
Image2 phash_simple :  0000000000000000
Image1 colorhash :  07000000000
Image2 colorhash :  38000000000

Did I misunderstood anything?

Test files are available here : https://github.com/julaudo/imagehash-test

closed time in 5 days

julaudo

issue commentJohannesBuchner/imagehash

Same hash for totally different images

You can combine hashes though, for example, require phash and colorhash to be the same.

julaudo

comment created time in 5 days

issue commentJohannesBuchner/imagehash

Same hash for totally different images

All hashes except for colorhash work on down-scaled, greyscale images.

julaudo

comment created time in 5 days

issue openedJohannesBuchner/imagehash

Same hash for totally different images

I have 2 640x360 png images. One contains only blue (0, 0, 254) and the other only white (255, 255, 255). I expect to get different perceotual hashes, but they are the same. Same thing using dhash, average_hash or phash_simple. Only colorhash seems to generate differents hashes.

i1 = Image.open("video_3517.png")
i2 = Image.open("video_3292.png")

print('Image1 phash : ', imagehash.phash(i1))
print('Image2 phash : ', imagehash.phash(i2))

print('Image1 dhash : ', imagehash.dhash(i1))
print('Image2 dhash : ', imagehash.dhash(i2))

print('Image1 average_hash : ', imagehash.average_hash(i1))
print('Image2 average_hash : ', imagehash.average_hash(i2))

print('Image1 phash_simple : ', imagehash.phash_simple(i1))
print('Image2 phash_simple : ', imagehash.phash_simple(i2))

print('Image1 colorhash : ', imagehash.colorhash(i1))
print('Image2 colorhash : ', imagehash.colorhash(i2))

Gives me

Image1 phash :  8000000000000000
Image2 phash :  8000000000000000
Image1 dhash :  0000000000000000
Image2 dhash :  0000000000000000
Image1 average_hash :  0000000000000000
Image2 average_hash :  0000000000000000
Image1 phash_simple :  0000000000000000
Image2 phash_simple :  0000000000000000
Image1 colorhash :  07000000000
Image2 colorhash :  38000000000

Did I misunderstood anything?

Test files are available here : https://github.com/julaudo/imagehash-test

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pull request commentcarpedm20/awesome-hacking

Cleanup bad formatting.

@deveyNull Please merge this one. Fixes Markdown in README.

shaialon

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