tag—Deepseek

A Chinese threat actor operating under the aliases “knaithe” and “KnYuan” used multiple LLMs to automate cyberattacks against internet-facing systems with limited human intervention. Researchers at Palo Alto Networks’ Unit 42 uncovered the operation after the threat actor’s AI agent misconfigured a file server, inadvertently exposing the entire infrastructure. “This visibility enabled us to understand their full tool set, how the attackers orchestrated multiple AI platforms and gave us a peek into their targeting,” Unit

A Chinese-speaking threat actor is using the DeepSeek AI model and the open-source Hermes Agent to conduct autonomous cyberattacks on exposed servers with limited human involvement.

Palo Alto Networks' Unit 42 says a Chinese-speaking threat actor used DeepSeek through the open-source Hermes Agent framework to launch attacks autonomously. After an initial Telegram instruction, the agent found internet-facing systems and selected public exploits. The researchers recovered no further operator input in the session. The operator, tracked through the aliases knaithe and KnYuan,

Cybersecurity researchers have flagged a new malware artifact generated using DeepSeek that constructed a novel attack path combining "unrealistic browser-malware concepts with a real browser capability" to turn it into a working ransomware technique that runs entirely inside the browser on both Windows and Android devices. "This is the first documented case where a frontier AI model

Cybersecurity researchers have flagged a new malware artifact generated using DeepSeek that constructed a novel attack path combining "unrealistic browser-malware concepts with a real browser capability" to turn it into a working ransomware technique that runs entirely inside the browser on both Windows and Android devices. "This is the first documented case where a frontier AI model

Cybersecurity researchers have flagged a "coordinated malware campaign" on the JetBrains Marketplace that has published no less than 15 malicious plugins capable of exfiltrating artificial intelligence (AI) provider keys. "Every plugin poses as an AI coding assistant built on DeepSeek and other large language models, offering chat, commit messages, code review, bug finding, and unit tests,"

There is a character that keeps appearing in enterprise security departments, and most CISOs know exactly who that is. It doesn’t build. It doesn’t enable. Its entire function is to say "No." No to ChatGPT. No to DeepSeek. No to the file-sharing tool the product team swears by. For years, this looked like security. But in 2026, "Doctor No" is no longer just a management headache &

Anthropic on Monday said it identified "industrial-scale campaigns" mounted by three artificial intelligence (AI) companies, DeepSeek, Moonshot AI, and MiniMax, to illegally extract Claude's capabilities to improve their own models. The distillation attacks generated over 16 million exchanges with its large language model (LLM) through about 24,000 fraudulent accounts in violation of its terms

As AI copilots and assistants become embedded in daily work, security teams are still focused on protecting the models themselves. But recent incidents suggest the bigger risk lies elsewhere: in the workflows that surround those models. Two Chrome extensions posing as AI helpers were recently caught stealing ChatGPT and DeepSeek chat data from over 900,000 users. Separately, researchers

Cybersecurity researchers have discovered two new malicious extensions on the Chrome Web Store that are designed to exfiltrate OpenAI ChatGPT and DeepSeek conversations alongside browsing data to servers under the attackers' control. The names of the extensions, which collectively have over 900,000 users, are below - Chat GPT for Chrome with GPT-5, Claude Sonnet & DeepSeek AI (ID: