An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

Vulnerability detection is crucial to protect software security. Nowadays, deep learning DL is the most promising technique to automate this detection task, leveraging its superior ability to extract patterns and representations within extensive code volumes. Despite its promise, DL-based...

AMD Processors 安全漏洞

AMD Processors are a series of processors developed by American semiconductor company AMD. There is a security vulnerability in AMD Processors, which stems from type confusion. This vulnerability may allow attackers to send malformed parameters to external global memory interconnection trusted...

GoodVibe: Security-By-Vibe for LLM-Based Code Generation

Large language models LLMs are increasingly used for code generation in fast, informal development workflows, often referred to as vibe coding, where speed and convenience are prioritized, and security requirements are rarely made explicit. In this setting, models frequently produce functionally...

Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language Models

Jailbreaking large language models LLMs has emerged as a critical security challenge with the widespread deployment of conversational AI systems. Adversarial users exploit these models through carefully crafted prompts to elicit restricted or unsafe outputs, a phenomenon commonly referred to as...

Vulnerabilities in Partial TEE-Shielded LLM Inference with Precomputed Noise

The deployment of large language models LLMs on third-party devices requires new ways to protect model intellectual property. While Trusted Execution Environments TEEs offer a promising solution, their performance limits can lead to a critical compromise: using a precomputed, static secret basis ...

TRACE: Timely Retrieval and Alignment for Cybersecurity Knowledge Graph Construction and Expansion

The rapid evolution of cyber threats has highlighted significant gaps in security knowledge integration. Cybersecurity Knowledge Graphs CKGs relying on structured data inherently exhibit hysteresis, as the timely incorporation of rapidly evolving unstructured data remains limited, potentially...

Keras 安全漏洞

Keras is an open-source deep learning framework with multiple backends. Versions of Keras 3.13.1 and earlier contain security vulnerabilities. These vulnerabilities stem from defects in the model loading mechanism HDF5 integration, which could allow remote attackers to read local files through...

CVE-2026-26013

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.getnumtokensfrommessages method fetches arbitrary imageurl values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Reque...

CVE-2026-26013 LangChain affected by SSRF via image_url token counting in ChatOpenAI.get_num_tokens_from_messages

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.getnumtokensfrommessages method fetches arbitrary imageurl values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Reque...

CVE-2026-26013 LangChain affected by SSRF via image_url token counting in ChatOpenAI.get_num_tokens_from_messages

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.getnumtokensfrommessages method fetches arbitrary imageurl values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Reque...

The Role of Learning in Attacking Intrusion Detection Systems

Recent work on network attacks have demonstrated that ML-based network intrusion detection systems NIDS can be evaded with adversarial perturbations. However, these attacks rely on complex optimizations that have large computational overheads, making them impractical in many real-world settings. ...

A one-prompt attack that breaks LLM safety alignment

Large language models LLMs and diffusion models now power a wide range of applications, from document assistance to text-to-image generation, and users increasingly expect these systems to be safety-aligned by default. Yet safety alignment is only as robust as its weakest failure mode. Despite...

AI chat app leak exposes 300 million messages tied to 25 million users

An independent security researcher uncovered a major data breach affecting Chat & Ask AI, one of the most popular AI chat apps on Google Play and Apple App Store, with more than 50 million users. The researcher claims to have accessed 300 million messages from over 25 million users due to an...

The Myth of “Known APIs”: Why Inventory-First Security Models Are Already Obsolete

You probably think the security mantra “you can’t protect what you don’t know about” is an inarguable truth. But you would be wrong. It doesn’t hold water in today’s threat landscape. Of course, it sounds reasonable. Before you secure APIs, you must first discover, inventory, and document them...

CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection

Phishing attacks represents one of the primary attack methods which is used by cyber attackers. In many cases, attackers use deceptive emails along with malicious attachments to trick users into giving away sensitive information or installing malware while compromising entire systems. The...

RECUR: Resource Exhaustion Attack Via Recursive-Entropy Guided Counterfactual Utilization and Reflection

Large Reasoning Models LRMs employ reasoning to address complex tasks. Such explicit reasoning requires extended context lengths, resulting in substantially higher resource consumption. Prior work has shown that adversarially crafted inputs can trigger redundant reasoning processes, exposing LRMs...

Aegis: Towards Governance, Integrity, and Security of AI Voice Agents

With the rapid advancement and adoption of Audio Large Language Models ALLMs, voice agents are now being deployed in high-stakes domains such as banking, customer service, and IT support. However, their vulnerabilities to adversarial misuse still remain unexplored. While prior work has examined...

OESA-2026-1330 assimp security update

Assimp is a library to load and process geometric scenes from various data formats. Assimp aims to provide a full asset conversion pipeline for use in game engines and real-time rendering systems of any kind, but is not limited to this purpose. Security Fixes: A vulnerability was found in Open...

CVE-2026-2056

A security vulnerability has been detected in D-Link DIR-605L and DIR-619L 2.06B01/2.13B01. The impacted element is an unknown function of the file /wanconnectionstatus.asp of the component DHCP Connection Status Handler. The manipulation leads to information disclosure. Remote exploitation of th...

CVE-2026-2054

The CVE-2026-2054 entry applies to D-Link DIR-605L and DIR-619L routers (versions 2.06B01 and 2.13B01). The flaw is in an unknown function of the Wifi Setting Handler, where manipulation can disclose information and may be triggered remotely. Public exploit exists, and these devices are no longer...