Automatic weak password vulnerability detection method based on parallel binary tree and system

Abstract

The invention discloses an automatic weak password vulnerability detection method based on a parallel binary tree, which comprises the following steps of acquiring an ip address and a port number of a to-be-detected target object, crawling user name password data from a database by utilizing a python script according to the ip address and the port number of the to-be-detected target object, according to the number of repeated items of each piece of user name password data in the database, sorting all the user name password data from low to high so as to obtain a weak password pair dictionary file, and constructing a complete binary tree according to the obtained weak password pair dictionary file, and performing weak password scanning on the generated binary tree by using a random access parallel machine (PRAM) to obtain a connection detection result. The technical problem that the working time of a detector is increased due to the fact that the detector needs to manually collect the user name dictionary file and the password dictionary file on the internet in an existing weak password vulnerability detection method can be solved, and the technical problem that the efficiency of the method is low due to the fact that the scanning rate is too low can be solved.

Description

technical field [0001] The invention belongs to the technical field of network information security, and more specifically relates to a method and system for automatically detecting weak password vulnerabilities based on a parallel binary tree. Background technique [0002] Today, with the rapid development of network technology, a large amount of data is exposed on the Internet, resulting in many large-scale data leakage incidents. Therefore, people gradually shift their focus to network security, and weak password vulnerabilities that are closely related to network security have also begun. Attract people's attention. [0003] Weak passwords are easy to be guessed or cracked by others. Using weak passwords is similar to putting the house keys under the mat at the door of the house. This behavior is very dangerous. Therefore, it is very necessary to detect whether there is a weak password vulnerability. [0004] Existing methods for detecting weak password vulnerabilities...

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Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a method and system for automatic detection of weak password vulnerabilities based on parallel binary trees. Username dictionary files and password dictionary files lead to technical problems such as increased working hours of inspectors, low detection efficiency, and low efficiency of the method due to the low rate of scanning user name dictionary files and password dictionary files

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