Sat.Dec 25, 2021

article thumbnail

Omicron-themed phishing attacks spread Dridex and taunt with funeral helpline

Security Affairs

A gang behind a recent Dridex Omicron campaign is moking the victims taunting them with a COVID-19 funeral assistance helpline number. Crooks behind a recent Dridex campaign is moking the researchers and victims taunting them with a COVID-19 funeral assistance helpline number. The phishing messages use weaponized Word or Excel attachments to install the Dridex banking Trojan.

Phishing 126
article thumbnail

Merry Christmas from IG GURU

IG Guru

The post Merry Christmas from IG GURU appeared first on IG GURU.

79
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

New Rook Ransomware borrows code from Babuk

Security Affairs

Recently launched ransomware operation, named Rook, made headlines for its announcement claiming a desperate need a lot of money. A new ransomware operation named Rook appeared in the threat landscape, it was first reported by researcher Zach Allen and caught the attention of the experts for its blatant announcement that claims a desperate need to make “a lot of money” by breaching corporate networks.

article thumbnail

‘Spider-Man: No Way Home’ used to spread a cryptominer

Security Affairs

Threat actors attempted to take advantage of the interest in the new ‘ Spider-Man: No Way Home’ movie to spread a Monero Cryptominer. Threat actors are attempting to capitalize the interest in the release of Spider-Man: No Way Home movie and use it as bait to spread a Monero cryptominer. ReasonLabs researchers spotted a Russian torrent website spreading the Monero cryptominer masqueraded as the Spider-Man: No Way Home movie.

Mining 86
article thumbnail

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.