-
CVE-2026-10646 – Use-After-Return in Zephyr BSD-Sockets contains design weakness (30-6-2026)
Preface: Zephyr’s BSD-sockets are a networking API rather than a feature of a specific off-the-shelf industrial robot. Zephyr RTOS is used across embedded robotics in custom, edge-computing, and modular ROS 2 networks. Background: Zephyr’s BSD Sockets API is a compact, optimized subset designed specifically for resource-constrained Real-Time Operating Systems (RTOS), unlike the complete, full-featured POSIX…
-
CVE-2026-53311: A memory handling vulnerability in the FUSE subsystem of the Linux Kernel. (2026-06-29)
Preface: KMSAN (Kernel Memory Sanitizer) was developed by Google. It is a dynamic error detector for the Linux kernel that finds uninitialized memory accesses. Background: The main feature of fuse_dentry_revalidate() in Linux is to verify and refresh the validity of a directory entry (dentry) and its associated inode in the kernel’s cache before they are…
-
CVE-2026-52966: A design flaw in the Linux kernel direct rendering manager (DRM). Don’t underestimate it! (26th Jun 2026)
Preface: Syzbot is an automated testing system operated by Google that continuously tests the Linux kernel to discover hidden bugs, crashes, and security vulnerabilities. It runs a public Syzbot control panel that lists all active bugs, helps developers track fix progress, and sends crash reports directly to Linux community mailing lists. Background: Linux kernel’s Direct…
-
CVE-2026-55447: A critical security vulnerability in the AI workflow platform Langflow versions prior to 1.9.2 (25th June 2026)
Preface: AI models do not use Langflow to generate or write code for you. When a large language model (like ChatGPT, Claude, Gemini, or specialized coding assistants) writes code in response to your prompts, it uses its own internal neural network, parameters, and training data. The relationship between AI and Langflow is actually the exact…
-
CVE-2026-56412: Use After Free occurs in libexpat before 2.8.2 (24th June 2026)
Preface: The primary machine learning tools and libraries that rely on libexpat include: OpenCV, GDAL / OGR, Apple Core ML Tools, Apache Spark / PySpark, ROS / ROS 2 (Robot Operating System) and Python AI Ecosystem. Background: Primary machine learning (ML) tools and libraries rely on libexpat because it serves as the underlying engine for…
-
CVE-2026-12773: A weakness has been identified in BerriAI litellm up to 1.59.8. (23rd Jun 2026)
Preface: LiteLLM is widely deployed by AI platforms because it provides a free, open-source proxy that unifies access to over 100 LLMs (like OpenAI, Anthropic, and local models) under a single OpenAI-compatible API format. It simplifies multi-model integration while enabling enterprise-grade cost tracking, spend limits, and rate limiting. Background: LiteLLM (BerriAI) uses user_api_key_auth[.]py to handle…
-
CVE-2026-45617: Design weakness of LiquidJS
Publication date of this article: June 22, 2026 Preface: Liquid[.]js (LiquidJS) is not a machine learning framework or artificial intelligence library; it is a JavaScript implementation of the Liquid template language. Liquid was originally created by Shopify for loading dynamic content on store pages. However, due to its widespread use in building web interfaces and…
-
CVE-2026-48797: Reflex WebSocket Unauthenticated Training Vulnerability (19th June 2026)
Preface: Backpropagation is not used by a single specific robot, but rather by deep learning architectures and neural network controllers powering many modern autonomous systems. It is the foundational training algorithm used for everything from autonomous wheeled robots and robotic arms to industrial mobile robots. Background: Backpropagate is a Python library for fine-tuning large language…
-
CVE-2026-24252: NVIDIA NeMo for Linux contains a vulnerability where an attacker may cause OS command injection (18th June 2026)
Preface: NVIDIA NeMo is a widely adopted, end-to-end framework for building, customizing, and deploying generative AI models (LLMs) and conversational AI agents. It is primarily used to tailor open-source models—such as Llama, Mistral, and Google Gemma—using proprietary enterprise data. Ollama, Mistral, and Google Gemma represent a powerful ecosystem for running local, open-weight Large Language Models…
-
Retrospective – Design weaknesses of fantastic IoT 4.0. 17th Jun 2026
Preface: On March 31, 2026, a researcher affiliated with Positive Technologies posted that he had “extracted the Global Wrapping Key from an instance of Intel Gemini Lake Platform.” While researchers have identified foundational design weaknesses and supply chain risks in Secure Boot and key handling, there are no known instances of Intel KEK design flaws…