Sun.Aug 23, 2020

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A Google Drive weakness could allow attackers to serve malware

Security Affairs

A bug in Google Drive could be exploited by threat actors to distribute malicious files disguised as legitimate documents or images. An unpatched weakness in Google Drive could be exploited by threat actors to distribute weaponized files disguised as legitimate documents or images. enabling bad actors to perform spear-phishing attacks comparatively with a high success rate.

Phishing 132
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A New Botnet Is Covertly Targeting Millions of Servers

WIRED Threat Level

FritzFrog has been used to try and infiltrate government agencies, banks, telecom companies, and universities across the US and Europe.

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Transparent Tribe APT hit 1000+ victims in 27 countries in the last 12 months

Security Affairs

The Transparent Tribe cyber-espionage group continues to improve its arsenal while targets Military and Government entities. The Transparent Tribe APT group is carrying out an ongoing cyberespionage campaign aimed at military and diplomatic targets worldwide. The group upgraded its Crimson RAT by adding a management console and implementing a USB worming capability that allows it to propagate from machines within an infected network.

Military 119
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Security Affairs newsletter Round 278

Security Affairs

A new round of the weekly SecurityAffairs newsletter arrived! Every week the best security articles from Security Affairs free for you in your email box. Ritz hotel diners were victims of a sophisticated scam Sodinokibi ransomware gang stole 1TB of data from Brown-Forman Texas man sentenced to 57 months for the hacking of a major tech firm in New York CISA warns of phishing attacks delivering KONNI RAT Technology giant Konica Minolta hit by a ransomware attack Thousands of Canadian government ac

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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.