AI Sec Watch

This research proposes a new framework for side-channel analysis (SCA, a type of attack that exploits physical information like power consumption or timing to break cryptography) by combining multiple different leakage models (ways of measuring how a cryptographic device leaks secrets) using ensemble learning (combining many weaker models into one stronger one). The framework improves how well attackers can recover secret keys by using deep learning with complementary information from different measurement approaches, and the authors prove mathematically that their ensemble model gets closer to the true secret distribution.

A WordPress plugin called AI Autotagger with OpenAI has a security flaw called time-based blind SQL injection (a technique where attackers sneak extra database commands into legitimate queries by exploiting how the software processes user input) in versions up to 3.40.1. Attackers with contributor-level access or higher can use this flaw to steal sensitive data from the database, slow down the website, or extract information through time-delay tricks.

Langflow versions up to 1.6.9 have a chained vulnerability that allows attackers to take over user accounts and run arbitrary code on the system. The flaw combines two misconfigurations: overly permissive CORS settings (CORS, or cross-origin resource sharing, allows webpages from different domains to access each other) that accept requests from any origin with credentials, and refresh token cookies (a token used to get new access credentials) set to SameSite=None, which allows a malicious webpage to steal valid tokens and impersonate a victim.

Graph Neural Networks (GNNs, machine learning models that work with interconnected data) perform poorly at detecting anomalies in graphs because of high Class Homophily Variance (CHV), meaning some node types cluster together while others scatter. The researchers propose HEAug, a new GNN model that creates additional connections between nodes that are similar in features but not originally linked, and adjusts its training process to avoid generating unwanted connections.

A WordPress plugin called 'The Bread & Butter' has a security flaw called CSRF (cross-site request forgery, where an attacker tricks someone into performing an unwanted action on a website) in versions up to 7.10.1321. The flaw exists in the image upload function because it lacks proper nonce validation (a security token that verifies a request is legitimate), allowing attackers to upload malicious files that could lead to RCE (remote code execution, where an attacker runs commands on the website) if they can trick an admin into clicking a malicious link.

The AI industry is gradually accepting LLM (large language model) outputs as reliable without questioning them, similar to how NASA ignored warning signs before the Challenger disaster. This 'normalization of deviance' (accepting behavior that deviates from proper standards as normal) is particularly risky in agentic systems (AI systems that can take independent actions without human approval at each step), where unchecked LLM decisions could cause serious problems.

Anthropic Sandbox Runtime is a tool that restricts what processes can access on a computer's filesystem (file storage) and network without needing containers (isolated computing environments). Before version 0.0.16, a bug prevented the network sandbox from working correctly when no allowed domains were specified, which could let code inside the sandbox make network requests it shouldn't be able to make.

Version 0.14.10 of llama-index-core added a mock function calling LLM (a simulated language model that can pretend to execute functions), while related packages fixed typos and added new integrations like Airweave tool support for advanced search capabilities. This is a routine software release with feature additions and bug fixes.

NVIDIA Triton Server for Linux has a vulnerability where attackers can bypass input validation (improper validation of specified quantity in input) by sending malformed data. This flaw could allow an attacker to cause a denial of service attack (making a system unavailable to legitimate users).