ESET today announced its upgraded consumer offering, ESET HOME Security, with new features, such as ESET Folder Guard, Multithread Scanning, and Identity Protection featuring Dark Web Monitoring. These enhancements to ESET HOME Security, as an all-in-one solution for consumers, correspond to the increasing number of advanced, automated, and AI-driven threats targeting individuals and address growing concerns about data privacy, ransomware attacks, phishing, and scams.
ESET HOME Security is available across all major operating systems—Windows, macOS, Android, iOS—and covers all typical smart home devices. Improvements have been made to enhance the existing layers of protection, including upgrades to the Link Scanner and Password Manager. Security for Mac users has been improved with a new unified Firewall offering both basic and advanced setup options in the main Graphical User Interface (GUI).
Some of the top new and improved features include:
New Dark Web Monitoring — ESET Identity Protection is now available in Canada, providing users with advanced tools to safeguard their personal information. This feature scours the dark web, black market chat rooms, blogs, and other data sources for the illegal trading and selling of personal data. ESET’s cutting-edge technology delivers prompt alerts, enabling users to take immediate action and mitigate potential identity theft risks.
New ESET Folder Guard — This technology helps protect Windows users’ valuable data from malicious apps and threats, such as ransomware, worms, and wipers (malware that can damage users’ data). Users can create a list of protected folders — files in these folders can’t be modified or deleted by untrusted applications.
New Multithread Scanning — Improves scanning performance for multi-core processor devices using Windows by distributing scanning requests among available CPU cores. There can be as many scanning threads as the machine has processor cores.
Improved Gamer Mode — This feature is for users who demand uninterrupted usage of their software without pop-up windows and want to minimize CPU usage. The improved version allows users to create a list of apps automatically starting gamer mode. For cautious players, there is also a new option to display interactive alerts while gamer mode is running.
This robust all-in-one security product is an ideal solution for all who have concerns beyond general cybersecurity, and it includes privacy protection, identity protection, performance optimization, device protection, and smart home protection. Because in a world of advanced cyberthreats, quality matters.
More information about the consumer offering and subscription tiers can be found here.
AI repository Hugging Face loaded with malicious files to steal info
Posted in Commentary with tags Hacked on October 23, 2024 by itnerdOODA Loop reports today that “Hackers Have Uploaded Thousands Of Malicious Files To Hugging Face Repository” based on input from Protect AI.
The OODA Loop story reads in part: “The old Trojan horse computer viruses that tried to sneak malicious code onto your system have evolved for the AI era,” said Ian Swanson, Protect AI’s CEO and founder.
“The Seattle, Washington-based startup found over 3,000 malicious files when it began scanning Hugging Face earlier this year. Some of these bad actors are even setting up fake Hugging Face profiles to pose as Meta or other technology companies to lure downloads from the unwary, according to Swanson. A scan of Hugging Face uncovered a number of fake accounts posing as companies like Facebook, Visa, SpaceX and Swedish telecoms giant Ericsson. One model, which falsely claimed to be from the genomics testing startup 23AndMe, had been downloaded thousands of times before it was spotted…”
Mali Gorantla, Chief Scientist at AppSOC had this to say:
“It should surprise no one that Hugging Face has become a magnet for malware and bad actors. In the last year, the number of AI models available on Hugging Face has tripled, now topping 1 million. Data scientists and AI developers love experimenting with this vast amount of open-source data to build and train new AI applications. The problem is that most security teams have little visibility into what models or datasets have been downloaded or where they exist. I can’t think of a more obvious place to embed malware, infiltrate corporate defenses, and hide your tracks.”
Security teams need to change their tactics so that they have visibility and are able to uncover this sort of thing. Because this is clearly the next “big thing” that threat actors are engaged in.
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