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Watching the watchers. IoT vulnerabilities exposed by AI.

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Content provided by N2K Networks Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks Inc. and N2K Networks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

This week, we are joined by Andrew Morris, Founder and CTO of GreyNoise, to discuss their work on "GreyNoise Intelligence Discovers Zero-Day Vulnerabilities in Live Streaming Cameras with the Help of AI." GreyNoise discovered two critical zero-day vulnerabilities in IoT-connected live streaming cameras, used in sensitive environments like healthcare and industrial operations, by leveraging its AI-powered detection system, Sift.

The vulnerabilities, CVE-2024-8956 (insufficient authentication) and CVE-2024-8957 (OS command injection), could allow attackers to take full control of affected devices, manipulate video feeds, or integrate them into botnets for broader attacks. This breakthrough underscores the transformative role of AI in identifying threats that traditional systems might miss, highlighting the urgent need for robust cybersecurity measures in the expanding IoT landscape.

The research can be found here:

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

374 episoade

Artwork
iconDistribuie
 
Manage episode 455394379 series 2881647
Content provided by N2K Networks Inc. and N2K Networks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by N2K Networks Inc. and N2K Networks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

This week, we are joined by Andrew Morris, Founder and CTO of GreyNoise, to discuss their work on "GreyNoise Intelligence Discovers Zero-Day Vulnerabilities in Live Streaming Cameras with the Help of AI." GreyNoise discovered two critical zero-day vulnerabilities in IoT-connected live streaming cameras, used in sensitive environments like healthcare and industrial operations, by leveraging its AI-powered detection system, Sift.

The vulnerabilities, CVE-2024-8956 (insufficient authentication) and CVE-2024-8957 (OS command injection), could allow attackers to take full control of affected devices, manipulate video feeds, or integrate them into botnets for broader attacks. This breakthrough underscores the transformative role of AI in identifying threats that traditional systems might miss, highlighting the urgent need for robust cybersecurity measures in the expanding IoT landscape.

The research can be found here:

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

374 episoade

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