hashlib

Replacement for md5 module in Python 3?

本秂侑毒 提交于 2019-12-03 09:30:50
Is there any other module for md5? zerkms It is in hashlib import hashlib print(hashlib.md5('asd'.encode()).hexdigest()) It has been deprecated since version 2.5. You must use hashlib . From: http://www.python.org/dev/peps/pep-0004/ MD5 have been replaced by the 'hashlib' module. 来源: https://stackoverflow.com/questions/4954602/replacement-for-md5-module-in-python-3

Hashing in SHA512 using a salt? - Python

╄→гoц情女王★ 提交于 2019-12-03 03:31:04
问题 I have been looking through ths hashlib documentation but haven't found anything talking about using salt when hashing data. Help would be great. 回答1: Samir's answer is correct but somewhat cryptic. Basically, the salt is just a randomly derived bit of data that you prefix or postfix your data with to dramatically increase the complexity of a dictionary attack on your hashed value. So given a salt s and data d you'd just do the following to generate a salted hash of the data: import hashlib

Hashing in SHA512 using a salt? - Python

╄→гoц情女王★ 提交于 2019-12-02 17:54:10
I have been looking through ths hashlib documentation but haven't found anything talking about using salt when hashing data. Help would be great. Rakis Samir's answer is correct but somewhat cryptic. Basically, the salt is just a randomly derived bit of data that you prefix or postfix your data with to dramatically increase the complexity of a dictionary attack on your hashed value. So given a salt s and data d you'd just do the following to generate a salted hash of the data: import hashlib hashlib.sha512( s + d ).hexdigest() See this wikipedia article for more details Just add the salt to

Hashing a file in Python

扶醉桌前 提交于 2019-12-02 16:09:22
I want python to read to the EOF so I can get an appropriate hash, whether it is sha1 or md5. Please help. Here is what I have so far: import hashlib inputFile = raw_input("Enter the name of the file:") openedFile = open(inputFile) readFile = openedFile.read() md5Hash = hashlib.md5(readFile) md5Hashed = md5Hash.hexdigest() sha1Hash = hashlib.sha1(readFile) sha1Hashed = sha1Hash.hexdigest() print "File Name: %s" % inputFile print "MD5: %r" % md5Hashed print "SHA1: %r" % sha1Hashed Randall Hunt TL;DR use buffers to not use tons of memory. We get to the crux of your problem, I believe, when we

Python 2.7 on OS X: TypeError: 'frozenset' object is not callable on each command

徘徊边缘 提交于 2019-12-02 02:56:58
问题 I have this error on each my command with Python: ➜ /tmp sudo easy_install pip Traceback (most recent call last): File "/usr/bin/easy_install-2.7", line 11, in load_entry_point('setuptools==1.1.6', 'console_scripts', 'easy_install')() File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/pkg_resources.py", line 357, in load_entry_point return get_distribution(dist).load_entry_point(group, name) File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras

Python 2.7 on OS X: TypeError: 'frozenset' object is not callable on each command

坚强是说给别人听的谎言 提交于 2019-12-02 00:23:03
I have this error on each my command with Python: ➜ /tmp sudo easy_install pip Traceback (most recent call last): File "/usr/bin/easy_install-2.7", line 11, in load_entry_point('setuptools==1.1.6', 'console_scripts', 'easy_install')() File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/pkg_resources.py", line 357, in load_entry_point return get_distribution(dist).load_entry_point(group, name) File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/pkg_resources.py", line 2394, in load_entry_point return ep.load() File "/System/Library

Securely overwrite Python variables in RAM? [duplicate]

瘦欲@ 提交于 2019-12-01 18:25:04
This question already has an answer here: Securely Erasing Password in Memory (Python) 8 answers I'm making a program in Python that will involve hashing a password. Assuming I use this to get the password: import getpass password = getpass.getpass("Password: ") And then hash it, is there any way to securely remove all traces of the unhashed password from RAM? Samy Arous As previously discussed there is no foolproof way to do this in python even if you had a custom implementation (although this might be a way). Now I don't know what your application is supposed to do but what I can tell you

Securely overwrite Python variables in RAM? [duplicate]

若如初见. 提交于 2019-12-01 16:32:32
问题 This question already has answers here : Securely Erasing Password in Memory (Python) (8 answers) Closed 4 years ago . I'm making a program in Python that will involve hashing a password. Assuming I use this to get the password: import getpass password = getpass.getpass("Password: ") And then hash it, is there any way to securely remove all traces of the unhashed password from RAM? 回答1: As previously discussed there is no foolproof way to do this in python even if you had a custom

unsupported hash type when installing plone

Deadly 提交于 2019-12-01 08:23:55
I tried to install plone but I have a problem when I run the script install.sh. Here are the errors details: raise ValueError('unsupported hash type %s' % name) ValueError: unsupported hash type sha256 ERROR:root:code for hash sha384 was not found ValueError: unsupported hash type sha512 I read in a forum that this error may be caused by a version of Plone which is not compatible with the python version that is on the OS. But, here is what is said on the official website of plone: The Plone Unified Installer is a source-installation kit that installs Plone and its dependencies from source on

Remove all characters from a string who's ordinals are out of range

纵饮孤独 提交于 2019-12-01 08:14:37
What is a good way to remove all characters that are out of the range: ordinal(128) from a string in python? I'm using hashlib.sha256 in python 2.7. I'm getting the exception: UnicodeEncodeError: 'ascii' codec can't encode character u'\u200e' in position 13: ordinal not in range(128) I assume this means that some funky character found its way into the string that I am trying to hash. Thanks! new_safe_str = some_string.encode('ascii','ignore') I think would work or you could do a list comprehension "".join([ch for ch in orig_string if ord(ch)<= 128]) [edit] however as others have said it may be