Latest cybersecurity reporting from selected sources.

Cybersecurity researchers have disclosed details of a previously unreported Internet-of-Things (IoT) botnet framework dubbed TuxBot v3 Evolution that shows signs of being developed with assistance from a large language model (LLM), albeit with not so successful results

Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution

System Translates Detection Rules Across Security PlatformsResearchers developed an AI framework that converts threat detection rules between major SIEM platforms including Splunk, Microsoft Sentinel and QRadar. The system uses LLMs and automated validation steps to preserve detection logic during migrations that often require months of manual work.

Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and conversation history

Cybersecurity researchers have disclosed details of a suspected artificial intelligence (AI)-generated malware codenamed Slopoly put to use by a financially motivated threat actor named Hive0163

Check Point Identifies VoidLink Framework First 'Advanced' AI-Generated ThreatA single developer built a Linux malware framework in less than a week using artificial intelligence, said security researchers. Check Point researchers say this is a case of AI-generated malware reaching operational maturity at a pace that challenges assumptions about development timelines.

Researchers say the advanced framework was built almost entirely by agents, marking a significant evolution in the use of AI to develop wholly original malware.

The recently discovered sophisticated Linux malware framework known as VoidLink is assessed to have been developed by a single person with assistance from an artificial intelligence (AI) model

Researchers utilized prompts and large language models to develop an open-source AI framework capable of generating both vulnerability exploits and patches.

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang

'More Research' Needed, Says GoogleGoogle DeepMind expanded its risk framework to cover scenarios where artificial intelligence models might manipulate people or resist shutdown, marking the company's most explicit warning yet about potential misalignment. DeepMind frames many of these scenarios as a malfunction.

HexStrike-AI Connects LLMs to Over 150 Existing Security ToolsA red-team framework released for penetration testing has become a weapon in the wild, repurposed by hackers to accelerate exploitation of newly disclosed Citrix vulnerabilities. Check Point Research observed chatter suggesting n-day attacks may unfold in minutes, shrinking defender response time.

As the field of artificial intelligence (AI) continues to evolve at a rapid pace, new research has found how techniques that render the Model Context Protocol (MCP) susceptible to prompt injection attacks could be used to develop security tooling or identify malicious tools, according to a new report from Tenable

Cybersecurity researchers are calling attention to a new phishing campaign that employs the ClickFix technique to deliver an open-source command-and-control (C2) framework called Havoc

Cybersecurity researchers have disclosed six security flaws in the Ollama artificial intelligence (AI) framework that could be exploited by a malicious actor to perform various actions, including denial-of-service, model poisoning, and model theft

The framework aims to improve automated vulnerability discovery approaches

Google has developed a new framework called Project Naptime that it says enables a large language model (LLM) to carry out vulnerability research with an aim to improve automated discovery approaches

Project Zero Framework Aims to Boost AI Bug Detection SkillsGoogle's team of zero-day hunters say artificial intelligence can lead to improved automated threat identification and analysis. Researchers say that a framework allows LLMs to mimic the iterative, hypothesis-driven approach of human security experts.

Thousands of AI Workloads Compromised Amid CVE Vulnerability DisputeAn active attack campaign dubbed ShadowRay is targeting the widely used Ray open-source artificial intelligence scaling framework. It stems from a vulnerability that researchers say is a flaw but that Ray's developers say is a deliberate design choice.

LeftoverLocals Affects Apple, AMD and Qualcomm DevicesResearchers uncovered a critical vulnerability in graphic processing units of popular devices that could allow attackers to access data from large language models. They dubbed the vulnerability LeftoverLocals and said it affects the GPU frameworks of Apple, AMD and Qualcomm devices.