Search Results for "forensic"

Just carved a bunch of bytes and have no idea what they could be? Maybe ANNFiD can help. ANNFiD uses neural network to identify byte patterns. It can be trained and has a GUI to help in the process. The tool is still on a very early stage, but could improve exponentially with the help of the developer community

Nicknamed as the "Smartphone Version of Backtrack", Revenssis Penetration Suite is a set of all the useful types of tools used in Computer and Web Application security. Tools available in it include: Web App scanners, Encode/Decode & Hashing tools, Vulnerability Research Lab, Forensics Lab, plus the must-have utilities (Shell, SSH, DNS/WHOIS Lookup, Traceroute, Port Scanner, Spam DB Lookup, Netstat... etc). All these fitting in an application approx. 10MB (post installation).

...If you'd like to help support our development, or take over the development please let us know. Explore the internal file structure of your iphone (or of a seized phone in the case of forensic teams) using either the iphone's own backup files or (for jail broken iphones) ssh. Viewing of plist, sqlite, and hex are supported. IOS 5 is now supported iOS 6 only partially works at the moment (some features fail or are missing). Unfortunately paid work means we can't fix this right now, but would welcome anyone else submitting patches.

XML carver which can carve damaged or non-standard XML out of any file. It rebuilds the XML tree, along with giving the offsets for all the carved XML data. This tool was developed for the DFRWS 2010 Forensics Challenge.

This tool will anonymize images by destroying the Photo Response Non Uniformity (PRNU) pattern. It can also remove or forge the PRNU patterns, without having a (negative) impact on the quality.

FragMend is a GUI tool that allows a forensic investigator to classify and view sectors of raw or unallocated data. The sectors can then be ordered and grouped into files.

Zeitline is a Java/Swing tool that allows a computer forensic investigator to import events from various sources of a computing system or network and then order and classify them into one or more timelines of events.

Time-stamp of a created file can be modified by attacker. This project is meant to track File timestamp values , using NTFS data structures rather than trusting the original time stamp modified by attacker.