Public Data Resource

National Software Reference Library (NSRL) Reference Data Set (RDS) - NIST Special Database 28

Contact: Douglas R. White..
Identifier: doi:10.18434/M3695G
Version: 1.0... First Released: 2021-11-08 Revised: 2021-11-08
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Description

The National Software Reference Library (NSRL) collects software from various sources and incorporates file profiles computed from this software into a Reference Data Set (RDS) of information. The RDS can be used by law enforcement, government, and industry organizations to review files on a computer by matching file profiles in the RDS. This alleviates much of the effort involved in determining which files are important as evidence on computers or file systems that have been seized as part of criminal investigations. The RDS is a collection of digital signatures of known, traceable software applications. There are application hash values in the hash set which may be considered malicious, i.e. steganography tools and hacking scripts. There are no hash values of illicit data, i.e. child abuse images.
Research Topics: Forensics: Digital evidence    
Subject Keywords: computer crimes, computer forensics, crimes, cyber crimes, Defense Computer Forensics Laboratory, Federal Bureau of Investigation, file profiles, finger print software, fingerprints, graphics, hash keeper, hashes, investigations, KFF, known file filters, law enforcement, National Institute of Justice, National Software Reference Library, OLES, profiles, reference data set, softwares, US Customs Services    

Data Access

These data are public. Access rights statement:
This is a paid resource. It is an annual subscription with quarterly releases and can be ordered online at https://www.nist.gov/srd/nist-special-database-28
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About This Dataset

Version: 1.0... First Released: 2021-11-08 Revised: 2021-11-08
Cite this dataset
Douglas R. White (2021), National Software Reference Library (NSRL) Reference Data Set (RDS) - NIST Special Database 28, National Institute of Standards and Technology, https://doi.org/10.18434/M3695G (Accessed 2022-12-03)
Repository Metadata
Machine-readable descriptions of this dataset are available in the following formats:
NERDm
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