Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps

We introduce the Cyber Defense Benchmark, a benchmark for measuring how well large language model LLM agents perform the core SOC analyst task of threat hunting: given a database of raw Windows event logs with no guided questions or hints, identify the exact timestamps of malicious events. The...

Towards Leveraging LLMs to Generate Abstract Penetration Test Cases from Software Architecture

Software architecture models capture early design decisions that strongly influence system quality attributes, including security. However, architecture-level security assessment and feedback are often absent in practice, allowing security weaknesses to propagate into later phases of the software...

GHSA-QV8J-HGPC-VRQ8 Google Cloud Vertex AI SDK affected by Stored Cross-Site Scripting (XSS)

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

Google Cloud Vertex AI SDK affected by Stored Cross-Site Scripting (XSS)

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

CVE-2026-2472

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

CVE-2026-2472

CVE-2026-2472 concerns Google Cloud Vertex AI SDK (google-cloud-aiplatform). The vulnerability resides in the _genai/_evals_visualization component and affects versions from 1.98.0 up to, but not including, 1.131.0. It enables a stored XSS where an unauthenticated remote attacker can inject scrip...

CVE-2026-2472

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

CVE-2026-2472 Stored Cross-Site Scripting (XSS) in Vertex AI Python SDK Visualization

Stored Cross-Site Scripting XSS in the genai/evalsvisualization component of Google Cloud Vertex AI SDK google-cloud-aiplatform versions from 1.98.0 up to but not including 1.131.0 allows an unauthenticated remote attacker to execute arbitrary JavaScript in a victim's Jupyter or Colab environment...

PT-2026-21290

Name of the Vulnerable Software and Affected Versions Google Cloud Vertex AI SDK google-cloud-aiplatform versions 1.98.0 through 1.130.9 Description A Stored Cross-Site Scripting XSS issue exists in the genai/ evals visualization component of Google Cloud Vertex AI SDK. This allows an...

PlaciPy 安全漏洞

PlaciPy is an open-source employment management system developed by Praskla Technology. It aims to simplify the employment processes for students, trainers, and managers in educational institutions. Version 1.0.0 of PlaciPy contains a security vulnerability. This vulnerability stems from the...

A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs

Loop vulnerabilities are one major risky construct in software development. They can easily lead to infinite loops or executions, exhaust resources, or introduce logical errors that degrade performance and compromise security. The problem are often undetected by traditional static analyzers becau...

QLCoder: A Query Synthesizer for Static Analysis of Security Vulnerabilities

Static analysis tools provide a powerful means to detect security vulnerabilities by specifying queries that encode vulnerable code patterns. However, writing such queries is challenging and requires diverse expertise in security and program analysis. To address this challenge, we present QLCoder...

WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents

Multiple prompt injection attacks have been proposed against web agents. At the same time, various methods have been developed to detect general prompt injection attacks, but none have been systematically evaluated for web agents. In this work, we bridge this gap by presenting the first...

SAFER-D: a Self-Adaptive Security Framework for Distributed Computing Architectures

The rise of the Internet of Things and Cyber-Physical Systems has introduced new challenges on ensuring secure and robust communication. The growing number of connected devices increases network complexity, leading to higher latency and traffic. Distributed computing architectures DCAs have gaine...

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks

The integration of large language models LLMs into a wide range of applications has highlighted the critical role of well-crafted system prompts, which require extensive testing and domain expertise. These prompts enhance task performance but may also encode sensitive information and filtering...

CVE-2024-1738

CVE-2024-1738 affects lunary-ai/lunary, specifically the /api/evaluations route (evaluations.get). The root cause is missing project ID verification in the SQL query, enabling unauthorized users to retrieve any organization’s evaluation results by simply knowing the evaluation ID, potentially exp...

PT-2024-18263 · Unknown · Lunary-Ai/Lunary

Name of the Vulnerable Software and Affected Versions: lunary-ai/lunary affected versions not specified Description: An incorrect authorization issue exists in the lunary-ai/lunary repository, specifically within the evaluations.get route in the evaluations API endpoint "/api/evaluations". This...