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Irans Largest Messaging App Nazdika Breached Exposing Private Conversations
Akira
Security and privacy concerns challenge public sector’s efforts to modernize
For most public sector organizations, digital transformation is a work in progress, with the complexity of integrating new systems and privacy and security concerns remaining key barriers, according to a report by SolarWinds. Only 6% of respondents report having fully completed their digital transformation journey, while most indicate they are somewhere along the journey, with efforts either well underway (41%) or beginning implementation in some areas with limited progress (42%). “As the public sector navigates … More →
The post Security and privacy concerns challenge public sector’s efforts to modernize appeared first on Help Net Security.
Rust rising: Navigating the ecosystem and adoption challenges
Rust continues to gain traction as a powerful programming language, balancing high performance with memory safety.
The post Rust rising: Navigating the ecosystem and adoption challenges appeared first on Security Boulevard.
DEF CON 32 – Incubated ML Exploits: Backdooring ML Pipelines With Input Handling Bugs
Authors/Presenters: Suha Hussain
Our sincere appreciation to DEF CON, and the Authors/Presenters for publishing their erudite DEF CON 32 content. Originating from the conference’s events located at the Las Vegas Convention Center; and via the organizations YouTube channel.
The post DEF CON 32 – Incubated ML Exploits: Backdooring ML Pipelines With Input Handling Bugs appeared first on Security Boulevard.
SecWiki News 2025-02-21 Review
CISA flags Craft CMS code injection flaw as exploited in attacks
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...
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