GreyNoise Credits AI for Spotting Exploit Attempts on IoT Livestream Cams

Cybersecurity firm GreyNoise Intelligence is crediting an AI-powered tool for capturing attempts to exploit critical vulnerabilities in live streaming IoT cameras widely deployed at healthcare, industrial operations and government facilities. 

GreyNoise said it detected two distinct vulnerabilities — CVE-2024-8956 and CVE-2024-8957 — after an exploit attempt on its Sift automated threat-hunting honeypot system. An internal AI technology flagged the unusual activity which allows GreyNoise researchers discovered the zero-day vulnerabilities. 

The most severe of the two vulnerabilities (CVE-2024-8956) carries a CVSS score of 9.1 out of 10 and allows an attacker to access sensitive information like usernames, MD5 password hashes, and configuration data. 

See more: https://www.securityweek.com/greynoise-credits-ai-for-spotting-exploit-attempts-on-iot-livestream-cams/

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