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Update: UnitedHealth Admits Patient Data was ‘Taken’ in Mega Attack
UnitedHealth Group has publicly acknowledged that data was "taken" in the cyberattack on its Change Healthcare unit and said it has started analyzing the types of sensitive personal, financial, and health information potentially compromised.
Exposing a New BOLA Vulnerability in Grafana
This vulnerability, assigned as CVE-2024-1313 with a CVSS score of 6.5, allows low-privileged Grafana users to delete dashboard snapshots belonging to other organizations using the snapshot's keys, impacting the integrity of the system.
PyPI Halts Sign-Ups Amid Surge of Malicious Package Uploads Targeting Developers
The maintainers of the Python Package Index (PyPI) repository briefly suspended new user sign-ups following an influx of malicious projects uploaded as part of a typosquatting campaign. It said "new project creation and new user registration" was temporarily halted to...
Finland Blames Chinese Hacking Group APT31 for Parliament Cyber Attack
The Police of Finland (aka Poliisi) has formally accused a Chinese nation-state actor tracked as APT31 for orchestrating a cyber attack targeting the country's Parliament in 2020. The intrusion, per the authorities, is said to have occurred between fall 2020 and early...
Linux Version of DinodasRAT Spotted in Cyber Attacks Across Several Countries
A Linux version of a multi-platform backdoor called DinodasRAT has been detected in the wild targeting China, Taiwan, Turkey, and Uzbekistan, new findings from Kaspersky reveal. DinodasRAT, also known as XDealer, is a C++-based malware that offers the ability to...
Darcula Phishing Network Leveraging RCS and iMessage to Evade Detection
A sophisticated phishing-as-a-service (PhaaS) platform called Darcula has set its sights on organizations in over 100 countries by leveraging a massive network of more than 20,000 counterfeit domains to help cyber criminals launch attacks at scale. "Using iMessage and...
Hackers Developing Malicious LLMs After WormGPT Falls Flat
Cybercrooks are exploring ways to develop custom, malicious large language models after existing tools such as WormGPT failed to cater to their demands for advanced intrusion capabilities, security researchers said.
Hackers Developing Malicious LLMs After WormGPT Falls Flat
Cybercrooks are exploring ways to develop custom, malicious large language models after existing tools such as WormGPT failed to cater to their demands for advanced intrusion capabilities, security researchers said.
Hackers Developing Malicious LLMs After WormGPT Falls Flat
Cybercrooks are exploring ways to develop custom, malicious large language models after existing tools such as WormGPT failed to cater to their demands for advanced intrusion capabilities, security researchers said.
Hackers Developing Malicious LLMs After WormGPT Falls Flat
Cybercrooks are exploring ways to develop custom, malicious large language models after existing tools such as WormGPT failed to cater to their demands for advanced intrusion capabilities, security researchers said.
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