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RondoDox Exploits Unpatched XWiki Servers to Pull More Devices Into Its BotnetThe Hacker Newsinfo@thehackernews.com (The Hacker News)

The botnet malware known as RondoDox has been observed targeting unpatched XWiki instances against a critical security flaw that could allow attackers to achieve arbitrary code execution. The vulnerability in question is CVE-2025-24893 (CVSS score: 9.8), an eval injection bug that could allow any guest user to perform arbitrary remote code execution through a request […]

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Five Plead Guilty in U.S. for Helping North Korean IT Workers Infiltrate 136 CompaniesThe Hacker Newsinfo@thehackernews.com (The Hacker News)

The U.S. Department of Justice (DoJ) on Friday announced that five individuals have pleaded guilty to assisting North Korea’s illicit revenue generation schemes by enabling information technology (IT) worker fraud in violation of international sanctions. The five individuals are listed below – Audricus Phagnasay, 24 Jason Salazar, 30 Alexander Paul Travis, 34 Oleksandr Didenko, 28, […]

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Honeypot: FortiWeb CVE-2025-64446 Exploits, (Sat, Nov 15th)SANS Internet Storm Center, InfoCON: green

Like many have reported, we too noticed exploit attempts for CVE-2025-64446 in our honeypots. These are POST requests to this path: With this User Agent String: And this is the data of the POST request: This creates a new admin user (profile: prof_admin). You can find this JSON data back in this PoC.   Didier Stevens […]

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OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits MarkTechPost

OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits MarkTechPost

OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable CircuitsMarkTechPost If neural networks are now making decisions everywhere from code editors to safety systems, how can we actually see the specific circuits inside that drive each behavior? OpenAI has introduced a new mechanistic interpretability research study that trains language models to use sparse internal wiring, so that model behavior can be explained using small, explicit
The post OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits appeared first on MarkTechPost.

 If neural networks are now making decisions everywhere from code editors to safety systems, how can we actually see the specific circuits inside that drive each behavior? OpenAI has introduced a new mechanistic interpretability research study that trains language models to use sparse internal wiring, so that model behavior can be explained using small, explicit
The post OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits appeared first on MarkTechPost. Read More  

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I Measured Neural Network Training Every 5 Steps for 10,000 Iterations Towards Data Science

I Measured Neural Network Training Every 5 Steps for 10,000 IterationsTowards Data Science Image by Pixabay.com
The post I Measured Neural Network Training Every 5 Steps for 10,000 Iterations appeared first on Towards Data Science.

 Image by Pixabay.com
The post I Measured Neural Network Training Every 5 Steps for 10,000 Iterations appeared first on Towards Data Science. Read More  

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Comparing the Top 6 Agent-Native Rails for the Agentic Internet: MCP, A2A, AP2, ACP, x402, and Kite MarkTechPost

Comparing the Top 6 Agent-Native Rails for the Agentic Internet: MCP, A2A, AP2, ACP, x402, and KiteMarkTechPost As AI agents move from single-app copilots to autonomous systems that browse, transact, and coordinate with each other, a new infrastructure layer is emerging underneath them. This article compares six key “agent-native rails” — MCP, A2A, AP2, ACP, x402, and Kite — focusing on how they standardize tool access, inter-agent communication, payment authorization, and settlement,
The post Comparing the Top 6 Agent-Native Rails for the Agentic Internet: MCP, A2A, AP2, ACP, x402, and Kite appeared first on MarkTechPost.

 As AI agents move from single-app copilots to autonomous systems that browse, transact, and coordinate with each other, a new infrastructure layer is emerging underneath them. This article compares six key “agent-native rails” — MCP, A2A, AP2, ACP, x402, and Kite — focusing on how they standardize tool access, inter-agent communication, payment authorization, and settlement,
The post Comparing the Top 6 Agent-Native Rails for the Agentic Internet: MCP, A2A, AP2, ACP, x402, and Kite appeared first on MarkTechPost. Read More