Sat.Nov 30, 2019

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The latest variant of the new Ginp Android Trojan borrows code from Anubis

Security Affairs

Security experts discovered an Android banking Trojan, dubbed Ginp, that steals both login credentials and credit card data. Security experts at ThreatFabric discovered an Android banking Trojan, dubbed Ginp, that steals both login credentials and credit card data. Ginp was first spotted in October by Kaspersky while targeting Spain and UK, but researchers believe it has been active around since June.

Access 103
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The 25 Most Dangerous Software Vulnerabilities

WIRED Threat Level

DMV privacy, a password ruling, and more of the week's top security news.

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The Gavle Goat is up

Adam Shostack

For 51 years, the gallant people of Gavle, Sweden, have been putting up a straw goat, and arsonists have been burning it. Apparently, they didn’t have Twitter back then, and needed alternate ways to get into flame wars. Previously: Gavle Goat at Shostack & Friends.

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Client Portal: The Best Way to Collaborate Online | Onehub

OneHub

Technology has revolutionized the way companies operate. Thanks to the internet and collaboration tools, employees are more engaged and have replaced the competitive rat race with team culture. Millennials have embraced teamwork over solo projects and tend to encourage collaboration efforts between team members, management, and clients. If you’re noticing a shift within your day-to-day practices and company culture, take a moment to learn about client portals, the best way to collaborate online.

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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.