Sat.Oct 12, 2019

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FIN7 Hackers group is back with a new loader and a new RAT

Security Affairs

FireEye Mandiant discovered that the FIN7 hacking group added new tools to its cyber arsenal, including a module to target remote administration software of ATM vendor. Security experts at FireEye Mandiant discovered that the FIN7 hacking group has added new tools to its arsenal, including a new loader and a module that hooks into the legitimate remote administration software used by the ATM maker NCR Corporation.

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Weekly Update 160

Troy Hunt

Australia! Geez it's nice to sit amongst the gum trees and listen to the birds, even if it's right in the middle of some fairly miserable weather. I'll continue to be here for the foreseeable future too, at least in one state or another. But being back here hasn't stopped me talking about European laws being handled by a local American website nor commentating on the (now well and truly over) debate about the usefulness of visual identity indicators in browsers.

Privacy 54
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Leafly Cannabis information platform suffered a data leak

Security Affairs

Leafly, a cannabis information platform, suffered a data leak that exposed the personal information of some of its customers. Leafly , the world’s leading cannabis resource, informed its customers via email that has suffered a data leak. On September 30, the company discovered that customer. The company discovered on September 30 that a secondary database was exposing customer information from July 2, 2016.

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Reflections on IAPP’s Privacy.Security.Risk. Conference 2019

Information Governance Perspectives

By Rafael Moscatel, Certified Information Privacy Manager (CIPM) HEY BOSS, LOOKS LIKE PRIVACY IS KIND OF A BIG DEAL NOW IAPP’s Privacy.Security.Risk Conference 2019 took place in Las Vegas over four days at the end of September and was attended by more than 2000 attendees hailing from all over the United States as well as a Continue reading.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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An iTunes Bug Let Hackers Spread Ransomware

WIRED Threat Level

FBI overreach, hacker payback, and more of the week's top security news.