Network Security

QuickHash – enables hashing of files, text, folders, and physical disks

QuickHash is a graphical interface data hashing tool.

It enables the rapid selection and hashing of data such as text, a single file, multiple files in folders, comparing files, comparing folders of files, lists of text line-by-line, disks and logical partitions, file copying with hashing, a myriad of right-click menu options and all of this on all three major operating systems.

This is free and open source software.

Features include:

  • Supports the following hash algorithms:
    • MD5.
    • SHA1.
    • SHA-3 (256 bit).
    • SHA256.
    • SHA512.
    • xxHash.
    • Blake2B (256 bit).
    • Blake3.
    • CRC32.
  • Simple tabbed interface.
  • Recursive hashing, or hashing and copying to reconstructed directory directory and re-hashing in destination directory.
  • Ability to hash segments of text or dynamic hashing as you type into the text field
  • Ability to hash files of text line-by-line – useful for those needing to hash lists of e-mail addresses for Google Adwords etc
  • Ability to hash disks in Windows and Linux (using root or sudo), e.g. /dev/hda or /dev/hda1 or /dev/sde or /dev/sde1 (not avail in macOS).
  • Simple recursive hashing of all files in a selected directory and its sub-directories with tabulated results as CSV or HTML.
  • MD5/SHA1/SHA256/SHA512/xxHash/Blake2b/Blake3, CRC32 algorithms available.
  • Forensic images in the Expert Witness Format (E01 Images) supported.
  • Base64 decoding.
  • Enables digital forensic practitioners or IT security staff to hash files at times when files have been extracted out from forensic software before or after transportation to non-forensic staff
  • Usually faster than mainstream hashing Windows tools.
  • Results can be exported to CSV text file, or a HTML web file, or copied to clipboard, or all of those.
  • Drag and Drop available for individual files.
  • Full PDF manual with screenshots and explanation of all features.
  • Cross-platform support – runs under Linux, macOS, and Windows.

Support: GitHub Code Repository
Developer: Ted Smith
License: GNU General Public License v2.0

QuickHash in action
Click image for full size

QuickHash is written in Pascal. Learn Pascal with our recommended free books and free tutorials.

Return to Data Hashing GUI Tools

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