Sat.Feb 29, 2020

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Crooks are attempting to take over tens of thousands of WordPress sites

Security Affairs

Threat actors are launching a hacking campaign aimed at taking over tens of thousands of WordPress sites by exploiting critical vulnerabilities. One of the issues exploited in the attacks is a zero-day vulnerability that affects several plugins and that could allow hackers to create admin accounts and take over the sites. Researchers at NinTechNet reported an ongoing campaign, observed in the past hours, that is actively exploiting a zero-day flaw in the WordPress Flexible Checkout Fields for W

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Clearview AI's Massive Client List Got Hacked

WIRED Threat Level

Clever malware, student surveillance, and more of the week's top security news.

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Sodinokibi Ransomware gang threatens to disclose data from Kenneth Cole fashion firm

Security Affairs

Not only Maze ransomware gang, the operators behind Sodinokibi Ransomware allegedly leaked the data of Kenneth Cole Productions. The operators behind Sodinokibi Ransomware have published the download links to archives containing data allegedly stolen from the US firm Kenneth Cole Productions. The news was first reported by the Under the Breach research group.

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US Railroad firm RailWorks discloses a data breach after a ransomware attack

Security Affairs

RailWorks Corporation, one of the leading railroad track and transit system providers in North America, disclosed a ransomware attack. RailWorks Corporation, one of the leading providers of rail infrastructure solutions in North America, disclosed a ransomware attack. The security breach may have also exposed personally identifiable information (i.e.

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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.