“. their investigation led to the discovery of two previously unknown zero - day vulnerabilities in live streaming cameras — highlighting how ai can transform the speed and accuracy of cybersecurity research. “ this isn ’ t about the specific software or how many people use it — i…”
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T1498Network Denial of Service
34%
“for denial - of - service attacks. attacks like this are not new — in 2021, live feeds of 150, 000 cameras inside schools, hospitals, and more were exposed. vulnerable iot devices are prime targets for attackers looking to add compromised devices to a botnet, like the infamous mi…”
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T1584.005Botnet
33%
“ai - driven anomaly detection and human - led investigation is essential in today ’ s fast - paced cybersecurity landscape, where attackers are constantly evolving their tactics. without sift ’ s machine learning capabilities, these vulnerabilities might have remained hidden. the…”
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T1190Exploit Public-Facing Application
31%
“greynoise intelligence discovers zero - day vulnerabilities in live streaming cameras with the help of ai greynoise has discovered previously undisclosed zero - day vulnerabilities in iot - connected live streaming cameras, leveraging ai to catch an attack before it could escalat…”
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Summary
GreyNoise has discovered previously undisclosed zero-day vulnerabilities in IoT-connected live streaming cameras, leveraging AI to catch an attack before it could escalate. This marks one of the first instances where threat detection has been augmented by AI to discover zero-day vulnerabilities.