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Storm⚡️Watch - 10/3/23

An episode of the Storm Watch by GreyNoise Intelligence podcast, hosted by GreyNoise Intelligence, titled "Storm⚡️Watch - 10/3/23" was published on October 3, 2023 and runs 67 minutes.

October 3, 2023 ·67m · Storm Watch by GreyNoise Intelligence

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Welcome to Storm Watch by GreyNoise Intelligence, where the hosts discuss the latest cybersecurity topics and news. In this episode, the hosts are joined by special guest Emily Austin, a security researcher at Censys.

Censys is a company that scans the entire IPV4 space, providing fast internet-wide scan data for researchers, threat hunters, and others who need to understand the internet landscape. They also offer an attack surface management platform to help organizations identify and protect their assets. Emily is a senior researcher and leads the research team at Censys, focusing on new vulnerabilities and internet measurement analytics.

During the podcast, the hosts discuss the challenges of analyzing scan data and the importance of being informed about potential threats. They also touch on the topic of threat hunting and the debate between the terms "threat hunting" and "thrunting." Emily then does a deep dive on the WS_FTP exposure situation.

The hosts mention the upcoming nationwide test of the emergency alert system by FEMA, which will send alerts to cell phones, radios, and televisions. They emphasize the importance of being aware of this test and the potential for disruptions.

The conversation then shifts to the recent libwebp debacle, which has made every Chromium instance vulnerable. The hosts express concern about the lack of attention this issue is receiving and the confusion caused by the changing CVEs.

Along with other cyber news, the show announces a new GreyNoise Early Access Program (EAP) feature: Sift. Sift lets users with GreyNoise accounts access the same early attack triage tools the internal GreyNoise Detection Engineering team uses. GreyNoise Labs is releasing it now to get feedback from customers and the community to help make Sift as useful as possible when applied to the PCAP data coming from the GreyNoise Early Access Program new sensors.

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