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mnemonic security podcast - Infostealers
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Infostealers

mnemonic security podcast

11/04/24

36m

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In this new episode of the mnemonic security podcast, Robby Peralta is joined by Leonid Rozenberg, a cybersecurity expert and dark web researcher at Hudson Rock, to discuss infostealers. Rozenberg provides a brief history of infostealers, which began with Zeus in 2007, a malware initially designed to steal only banking information. Today, infostealers have evolved to capture all types of personal and sensitive data, including passwords, cookies, and cryptocurrency information. Infostealer malware can be bought on the dark web as a turnkey solution, or "mass malware as a service," for as little as $99 per month.

Rozenberg emphasises the importance of cybersecurity education and debunks common misconceptions about antivirus protection, complex passwords, and multi-factor authentication. He also highlights the ongoing threat of infostealers and their adaptability in bypassing security measures.

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Previous Episode

Joe Slowik, ATT&CK CTI Lead at MITRE, joins the latest episode of the mnemonic security podcast to share his insights on the complexities of securing critical infrastructure. With a background in cyber threat intelligence, incident response, and detection engineering, Joe discusses with Robby the challenge of defining and prioritising what's truly "critical" in a landscape where every sector claims importance.

They explore the difficulty in distributing security investments across industries and the growing need for organisations of all sizes to adopt a mindset of self-defence. Joe also addresses the potential consequences of large-scale cyberattacks, such as those by Volt Typhoon, emphasising the need for coordinated incident response and leadership during crisis scenarios. He concludes with a strong call for resilience and highlights the vital role CEOs play in ensuring organisational preparedness.

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Next Episode

undefined - Deviation Detection
Deviation Detection

November 18, 2024

40m

In this episode, Robby is joined by Maximilian Heinemeyer, Chief Product Officer at Darktrace.

The conversation focuses on Max's perspective on detection engineering and the use of machine learning. He shares his opinion on the limitations of traditional, signature/behaviour-based detection methods and the challenges organisations face when building complex detection engineering systems.

Max contrasts these traditional approaches with the unsupervised machine learning techniques used by Darktrace, and describes the "aha moments" he experienced when seeing this technology work in its early days.

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