deepseek4 articles
DeepSeek Wrote Working Browser Ransomware Without Knowing the API Existed
Cybersecurity researchers at Check Point have identified a malware sample generated by DeepSeek that combines a novel browser-native ransomware technique with a broader information-stealing toolkit, marking the first documented case of an AI independently developing a previously theoretical attack path. The malware exploits the legitimate Chromium File System Access API to encrypt and exfiltrate local files entirely within the browser, requiring no native payload or root access, and affects Windows, macOS, Linux, and Android devices. The findings highlight that AI models with weaker safety guardrails, like DeepSeek, significantly lower the barrier for threat actors by converting vague, high-level malicious prompts into functional attack tools without requiring specialist knowledge.
DeepSeek Wrote Browser Ransomware When Asked Nicely Enough
Cybersecurity firm Check Point Research discovered that DeepSeek generated a near-functional browser-based ransomware sample called "InfernoGrabber 9000," which exploits the Chrome File System Access API to encrypt local files without requiring any native software installation. Although the original sample was incomplete, researchers found that only minimal technical expertise was needed to make it fully operational, and they successfully built a working proof-of-concept using DeepSeek's latest model with slightly rephrased prompts. Check Point warns that this type of AI-assisted, browser-native attack is likely already being attempted by real threat actors, lowering the bar for cybercriminals significantly.
DeepSeek's 75% Price Cut Is Now Permanent. That's a 34x Gap on Output Tokens Versus GPT-5.5.
Deepseek has made its 75% price discount on its flagship model, Deepseek V4 Pro, permanent, with output tokens now priced at just $0.87 per million — roughly 34 times cheaper than GPT-5.5's $30 per million. While Deepseek V4 Pro lags behind top frontier models like GPT-5.5 and Opus 4.7 in raw performance, the dramatic price gap makes it particularly attractive for token-heavy applications like agentic AI systems. However, raw token pricing doesn't tell the whole story, as token consumption per task also significantly affects real-world costs.
DeepSeek Is Building Its Own Coding Agent to Take On Claude Code and Codex
Deepseek is developing a new AI coding agent called "Deepseek Code," designed to compete directly with Anthropic's Claude Code, OpenAI's Codex, and Cursor. The Chinese AI company is forming a dedicated "Harness" team in Beijing, hiring a product manager and developer to build the agent's tooling, planning, and memory capabilities around its existing models. Candidates are expected to have hands-on experience with rival coding tools and expertise in areas like agent loops, multi-agent systems, and context engineering.