Search Results for "forensic audio analysis"
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Showing 2 open source projects for "forensic audio analysis"
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RouteGenie NEMT softwareRouteGenie NEMT software is a modern system built to automate all non-emergency medical transportation processes including routing, scheduling, dispatching, and billing. It helps manage everyday challenges like vehicle breakdowns, traffic problems, cancelations, driver call-offs, will calls, no shows, add-on trips, on-demand trips, and more.
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Reliable Phone Service for Your Home or BusinessCalling made modern. Your business number. Your employees' phones. Our amazing features. A dial menu spoken by our voice actors. Callers press numbers to make purchases, hear MP3s, connect to specific staff, and more. Make and answer calls using your number on multiple phones without the caller ever knowing. Employees hear secret in-house menus, transfer calls, and send voicemails to their email, all from their dialpad. These business features require no new software or hardware. Your dialpad come to life. Porting your business or personal number at the press of a button. Select from our menu of modern voice features for your business or personal line. We'll activate these features on your current phone for you. No work (or learning) required from you. We'll be here to transform your number whenever your desires change.
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Dshell
Dshell is a network forensic analysis framework
An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). -
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Dr0p1t-Framework
A framework that create an advanced stealthy dropper
...The framework includes features such as antivirus evasion, privilege escalation, and system persistence, enabling it to maintain access on compromised systems. It also incorporates techniques to avoid forensic analysis, such as self-deletion and cleaning traces after execution. The generated executables are optimized to be small and efficient, improving their ability to bypass security controls.
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