Showing 3 open source projects for "adobe malware"

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    Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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    Outbound sales software

    Unified cloud-based platform for dialing, emailing, appointment scheduling, lead management and much more.

    Adversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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  • 1
    Whonix

    Whonix

    Whonix is an Anonymous Operating System.

    THIS IS NOT WHONIX'S HOMEPAGE. Please go to: https://www.whonix.org/ (This is only Whonix's sourceforge must-have project page.) Whonix is an operating system focused on anonymity, privacy and security. It's based on the Tor anonymity network, Debian GNU/Linux and security by isolation. DNS leaks are impossible, and not even malware with root privileges can find out the user's real IP. Whonix consists of two parts: One solely runs Tor and acts as a gateway, which we call...
    Downloads: 0 This Week
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  • 2

    Install_Safe_Adobe_Flash_Player

    Safe Adobe Flash for Mac

    Mac's seem relatively safe from malware and viruses except when it comes to java and flash. This is a more secure version of flash for your mac. If this is marked as malicious by your browser it is most likely because it has a .dmg extension. Download and enjoy!
    Downloads: 0 This Week
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  • 3
    Malware Classifier

    Malware Classifier

    Perform quick, easy classification of binaries for malware analysis.

    Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” ...
    Downloads: 0 This Week
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