python实现文件快照加密保护的方法
本文实例讲述了python实现文件快照加密保护的方法。分享给大家供大家参考。具体如下:
这段代码可以对指定的目录进行扫描,包含子目录,对指定扩展名的文件进行SHA-1加密后存储在cvs文件,以防止文件被篡改
调用方法:python snapper.py > todayCheck.csv
# Hello, this is a script written in Python. See http://www.pyhon.org # # Snapper 1.2p # # This script will walk a directory (and its subdirectories) and compute # SHA (Secure Hash Algorithm) for specific files (according to their # extensions) and ouput a CSV file (suited for loading into a spreadsheet # editor,a database or simply comparing with diff or ExamDiff.). # # You can redirect the output of this script to a file. # eg. python snapper.py > todayCheck.csv # # This script can be usefull to check system files tampering. # # This script is public domain. Feel free to reuse it. # The author is: # Sebastien SAUVAGE # <sebsauvage at sebsauvage dot net> # http://sebsauvage.net # # More quick & dirty scripts are available at http://sebsauvage.net/python/ # # Directory to scan and extensions are hardcoded below: directoryStart = r'c:\windows' extensionList=['.exe','.dll','.ini','.ocx','.cpl','.vxd','.drv','.vbx','.com','.bat','.src', '.sys','.386','.acm','.ax', '.bpl','.bin','.cab','.olb','.mpd','.pdr','.jar'] import os,string,sha,stat,sys def snapper ( directoryStart , extensionList ) : os.path.walk( directoryStart, snapper_callback, extensionList ) def snapper_callback ( extensionList , directory, files ) : sys.stderr.write('Scanning '+directory+'\n') for fileName in files: if os.path.isfile( os.path.join(directory,fileName) ) : if string.lower(os.path.splitext(fileName)[1]) in extensionList : filelist.append(fileSHA ( os.path.join(directory,fileName) )) def fileSHA ( filepath ) : sys.stderr.write(' Reading '+os.path.split(filepath)[1]+'\n') file = open(filepath,'rb') digest = sha.new() data = file.read(65536) while len(data) != 0: digest.update(data) data = file.read(65536) file.close() return '"'+filepath+'",'+str(os.stat(filepath)[6])+',"'+digest.hexdigest()+'"' sys.stderr.write('Snapper 1.1p - http://sebsauvage.net/python/\n') filelist = [] snapper( directoryStart , extensionList ) sys.stderr.write('Sorting...\n') filelist.sort() filelist.insert(0, '"File path","File size","SHA"' ) sys.stderr.write('Printing...\n') for line in filelist: print line sys.stderr.write('All done.\n')
希望本文所述对大家的Python程序设计有所帮助。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



There is no built-in sum function in C language, so it needs to be written by yourself. Sum can be achieved by traversing the array and accumulating elements: Loop version: Sum is calculated using for loop and array length. Pointer version: Use pointers to point to array elements, and efficient summing is achieved through self-increment pointers. Dynamically allocate array version: Dynamically allocate arrays and manage memory yourself, ensuring that allocated memory is freed to prevent memory leaks.

Although distinct and distinct are related to distinction, they are used differently: distinct (adjective) describes the uniqueness of things themselves and is used to emphasize differences between things; distinct (verb) represents the distinction behavior or ability, and is used to describe the discrimination process. In programming, distinct is often used to represent the uniqueness of elements in a collection, such as deduplication operations; distinct is reflected in the design of algorithms or functions, such as distinguishing odd and even numbers. When optimizing, the distinct operation should select the appropriate algorithm and data structure, while the distinct operation should optimize the distinction between logical efficiency and pay attention to writing clear and readable code.

There is no absolute salary for Python and JavaScript developers, depending on skills and industry needs. 1. Python may be paid more in data science and machine learning. 2. JavaScript has great demand in front-end and full-stack development, and its salary is also considerable. 3. Influencing factors include experience, geographical location, company size and specific skills.

!x Understanding !x is a logical non-operator in C language. It booleans the value of x, that is, true changes to false, false changes to true. But be aware that truth and falsehood in C are represented by numerical values rather than boolean types, non-zero is regarded as true, and only 0 is regarded as false. Therefore, !x deals with negative numbers the same as positive numbers and is considered true.

There is no built-in sum function in C for sum, but it can be implemented by: using a loop to accumulate elements one by one; using a pointer to access and accumulate elements one by one; for large data volumes, consider parallel calculations.

The H5 page needs to be maintained continuously, because of factors such as code vulnerabilities, browser compatibility, performance optimization, security updates and user experience improvements. Effective maintenance methods include establishing a complete testing system, using version control tools, regularly monitoring page performance, collecting user feedback and formulating maintenance plans.

Copying and pasting the code is not impossible, but it should be treated with caution. Dependencies such as environment, libraries, versions, etc. in the code may not match the current project, resulting in errors or unpredictable results. Be sure to ensure the context is consistent, including file paths, dependent libraries, and Python versions. Additionally, when copying and pasting the code for a specific library, you may need to install the library and its dependencies. Common errors include path errors, version conflicts, and inconsistent code styles. Performance optimization needs to be redesigned or refactored according to the original purpose and constraints of the code. It is crucial to understand and debug copied code, and do not copy and paste blindly.

How to obtain dynamic data of 58.com work page while crawling? When crawling a work page of 58.com using crawler tools, you may encounter this...
