CyberInsider چهارشنبه ۲۰ آبان ۱۴۰۵ · ۱۳:۱۶

Google DeepMind verified Signal’s encryption down to machine code

Google DeepMind researchers used a new AI framework called AlphaProof Code to mathematically verify key security guarantees in the compiled code behind the Signal Protocol. The proofs cover how the protocol establishes encrypted conversations and protects messages when an attacker temporarily obtains a device’s cryptographic keys. DeepMind researchers announced the results on November 10, saying … The post Google Dee…

Cryptography

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Securelist (Kaspersky) چهارشنبه ۲۰ آبان ۱۴۰۵ · ۱۳:۳۰

Citrus Ransomware: VLESS for traffic, Sn00py for encryption, and LLMs lending a hand

We break down the Citrus Ransomware group's attacks: the attackers' TTPs and tooling, including VLESS traffic tunneling and LLM use, plus their links to Toy Ghouls.

Malware & Threats Vulnerabilities & Zero-Day Ransomware

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CyberInsider چهارشنبه ۲۰ آبان ۱۴۰۵ · ۱۳:۲۷

Firefox lifts usage limits on its built-in free VPN through January

Mozilla has temporarily removed the 50 GB monthly data cap on Firefox’s free built-in VPN, giving eligible desktop and Android users unlimited data through January 31, 2027. The company also published research showing how Firefox’s existing privacy protections make it harder for trackers to recognize individual browsers across websites. The VPN offer began November 10 … The post Firefox lifts usage limits on its buil…

Mobile Development Privacy

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Ubuntu Security Notices چهارشنبه ۲۰ آبان ۱۴۰۵ · ۱۱:۵۷

USN-9040-1: Linux kernel (Low Latency NVIDIA) vulnerabilities

It was discovered that some AMD processors did not properly perform Reverse Map Table (RMP) checks when the IOMMU accessed certain host buffers. A local attacker with hypervisor access could possibly use this to trigger an out-of-bounds condition and compromise the integrity of SEV-SNP guest memory. (CVE-2023-20585) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to c…

Vulnerabilities & Zero-Day IoT & OT Security Mobile Development

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Industrial Cyber چهارشنبه ۲۰ آبان ۱۴۰۵ · ۱۰:۳۴

NIST lays out adversarial machine learning taxonomy to address attacks targeting agentic superintelligence systems

The U.S. National Institute of Standards and Technology has published an initial public draft report that provides a... The post NIST lays out adversarial machine learning taxonomy to address attacks targeting agentic superintelligence systems appeared first on Industrial Cyber.

Malware & Threats Vulnerabilities & Zero-Day Phishing

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