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ACRStealer Malware Exploiting Google Docs as C2 To Steal Login Credentials
A newly identified malware variant dubbed ACRStealer has been observed leveraging Google Docs as a command-and-control (C2) server to bypass traditional security defenses and harvest sensitive login credentials. This sophisticated attack vector exploits the trusted reputation of Google’s infrastructure to evade detection, marking a significant escalation in credential-theft campaigns. Cybersecurity firm ThreatSec disclosed the campaign […]
The post ACRStealer Malware Exploiting Google Docs as C2 To Steal Login Credentials appeared first on Cyber Security News.
Искусственный интеллект за два дня решил проблему, над которой микробиологи бились десять лет
TSforge: первый успешный взлом системы лицензирования всех версий Windows
Linus Torvalds 回应内核合并 Rust 代码争议
Nederlandse MQ-9 Reapers vliegen nog een jaar boven oostflank NAVO
Apple pulls iCloud end-to-end encryption feature in the UK
Submit #500855: China Sichuan Xunruiyun Software Development Co., Ltd. XunRuiCMS 4.6.3 Remote Code Execution [Duplicate]
Detecting noise in canvas fingerprinting
In a previous blog post, we talked about canvas fingerprinting, a technique commonly used to detect fraudsters and bots.
In this post we'll go deeper on how fraudsters can forge or create fake canvas fingerprints to stay under the radar for typical device fingerprinting techniques. Plus cover some
The post Detecting noise in canvas fingerprinting appeared first on Security Boulevard.
Implementing Cryptography in AI Systems
Interesting research: “How to Securely Implement Cryptography in Deep Neural Networks.”
Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input, to verify that this input is authorized, or to hide a secure watermark in the output). The problem is that cryptographic primitives are typically designed to run on digital computers that use Boolean gates to map sequences of bits to sequences of bits, whereas DNNs are a special type of analog computer that uses linear mappings and ReLUs to map vectors of real numbers to vectors of real numbers. This discrepancy between the discrete and continuous computational models raises the question of what is the best way to implement standard cryptographic primitives as DNNs, and whether DNN implementations of secure cryptosystems remain secure in the new setting, in which an attacker can ask the DNN to process a message whose “bits” are arbitrary real numbers...
The post Implementing Cryptography in AI Systems appeared first on Security Boulevard.
BusinessMan Claims to be Selling the Data of Investing.com
Google намеренно ухудшает качество своей поисковой системы
asm is Allegedly Selling Access to a DNS Controller
CVE-2025-1557 | OFCMS 1.1.3 cross-site request forgery
Darcula 3.0 Tool Automatically Generates Phishing Kit For Any Brand
The darcula phishing group has escalated cybercrime capabilities with its newly unveiled “darcula-suite 3.0,” a phishing-as-a-service (PhaaS) platform enabling criminals to automatically generate counterfeit websites for any brand within minutes. This tool represents a paradigm shift in cybercrime efficiency, leveraging headless browser automation and cloud infrastructure to democratize large-scale phishing operations. Since March 2024, security […]
The post Darcula 3.0 Tool Automatically Generates Phishing Kit For Any Brand appeared first on Cyber Security News.
Submit #500269: ofcms 1.1.3 CSRF [Accepted]
Angel_Batista Claims to be Selling the Data of Paris Opera
Nieuwe luchtruim-indeling: meer ruimte om te werken aan gevechtsgereedheid
Weekly Threat Landscape Digest – Week 8
This week’s cybersecurity landscape highlights the increasing sophistication of threats and the urgent need for a proactive defense strategy. As […]
The post Weekly Threat Landscape Digest – Week 8 appeared first on HawkEye.