Microsoft Safety Scanner is a scan tool designed to find and remove malware from Windows computers. Simply download it and run a scan to find malware and try to reverse changes made by identified threats.
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Movavi sits in the sweet spot between price and functionality. It combines a broad set of tools with an easy-to-use interface and has the benefit of being both a quick capture tool and a fully-featured editor.
GuestReclaim reclaims dead space from NTFS volumes hosted on a thin provisioned SCSI disk. The tool can also reclaim space from full disks and partitions, thereby wiping off the file systems on it. As the tool deals with active data, please take all precautionary measures understanding the SCSI UNMAP framework and backing up important data.
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Decrypt files, crack passwords, and build reports with a single solution. Recover passwords from over 100+ applications. Decrypt a computer drive encrypted by the latest version of McAfee Drive Encryption and features L01 export support, which eases the workflow of users when data must be used within multiple tools.
Abstract:The damage investigation and inspection methods for infrastructures performed in small-scale (type III) facilities usually involve a visual examination by an inspector using surveying tools (e.g., cracking, crack microscope, etc.) in the field. These methods can interfere with the subjectivity of the inspector, which may reduce the objectivity and reliability of the record. Therefore, a new image analysis technique is needed to automatically detect cracks and analyze the characteristics of the cracks objectively. In this study, an image analysis technique using deep learning is developed to detect cracks and analyze characteristics (e.g., length, and width) in images for small-scale facilities. Three stages of image processing pipeline are proposed to obtain crack detection and its characteristics. In the first and second stages, two-dimensional convolutional neural networks are used for crack image detection (e.g., classification and segmentation). Based on convolution neural network for the detection, hierarchical feature learning architecture is applied into our deep learning network. After deep learning-based detection, in the third stage, thinning and tracking algorithms are applied to analyze length and width of crack in the image. The performance of the proposed method was tested using various crack images with label and the results showed good performance of crack detection and its measurement.Keywords: concrete crack; concrete structure; artificial neural network; convolution neural network
In order to hack a password, we have to try a lot of passwords to get the right one. When an attacker uses thousands or millions of words or character combinations to crack a password there is no surety that any one of those millions of combinations will work or not. This collection of a different combination of characters is called a wordlist. And in order to crack a password or a hash, we need to have a good wordlist which could break the password. So to do so we have a tool in kali Linux called crunch
Kali Linux has built into it a tool called "crunch" that enables us to create a custom password-cracking wordlist that we can use with such tools like Hashcat, Cain and Abel, John the Ripper, Aircrack-ng, and others. This custom wordlist might be able to save us hours or days in password cracking if we can craft it properly.
When cracking passwords, there are multiple methods of cracking unknown passwords. These include dictionary, rainbow table, brute force and others. If we know that parameters of the password or know something about the target and their possible passwords (birthday, pet names, spouse, etc.), crunch can be a very useful tool for generating specific wordlists to be used in a dictionary-like attack. 2ff7e9595c
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