CVE-2026-32622

SQLBot is an intelligent data query system based on a large language model and RAG. Versions 1.5.0 and below contain a Stored Prompt Injection vulnerability that chains three flaws: a missing permission check on the Excel upload API allowing any authenticated user to upload malicious terminology,...

CVE-2026-32622 SQLBot: Remote Code Execution via Terminology Poisoning

SQLBot is an intelligent data query system based on a large language model and RAG. Versions 1.5.0 and below contain a Stored Prompt Injection vulnerability that chains three flaws: a missing permission check on the Excel upload API allowing any authenticated user to upload malicious terminology,...

CVE-2026-32622

SQLBot (versions ≤ 1.5.x) exposes a Stored Prompt Injection vulnerability consisting of three chained flaws: (1) missing permission check on the Excel upload API allowing any authenticated user to upload malicious terminology, (2) unsanitized storage of terminology descriptions containing dangero...

PT-2026-26096

Name of the Vulnerable Software and Affected Versions CKAN MCP Server versions prior to 0.4.85 Description The software allows making HTTP requests to arbitrary endpoints without restriction because it lacks URL validation on the base url parameter. This issue affects the ckan package search,...

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks remains largely underexplored. Prior segmentation backdoor studies transfer threat settings from existing image classification tasks, focusing...

KLA90920 Multiple vulnerabilities in Microsoft Open Source Software

Multiple vulnerabilities were found in Microsoft Open Source Software. Malicious users can exploit these vulnerabilities to execute arbitrary code, bypass security restrictions. Below is a complete list of vulnerabilities: 1. A remote code execution vulnerability can be exploited remotely to...

SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement

The application of large language models to code generation has evolved from one-shot generation to iterative refinement, yet the evolution of security throughout iteration remains insufficiently understood. Through comparative experiments on three mainstream LLMs, this paper reveals the iterativ...

EUVD-2026-9988

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, the URL ingest pipeline accepted user-controlled remote URLs with incomplete destination restrictions. Although private/local host checks existed, missing...

SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations

Network protocols are the foundation of modern communication, yet their implementations often contain semantic vulnerabilities stemming from inadequate understanding of specification semantics. Existing gray-box and black-box testing approaches lack semantic modeling of protocols, making it...

Microsoft Semantic Kernel Code Injection Vulnerability

Microsoft Semantic Kernel is a large model orchestration framework from Microsoft Corporation, USA. A code injection vulnerability exists in Microsoft Semantic Kernel versions prior to 1.39.4. The vulnerability stems from the InMemoryVectorStore filtering feature failing to properly filter specia...

PT-2026-23642

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Prior to version 1.6.3-alpha, some endpoints returned raw exception strings to clients. Additionally, login token material was exposed in UI/rendered responses and token rotation output. This...

Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers

Modern infrastructures rely on software systems that remain vulnerable to cyberattacks. These attacks frequently exploit vulnerabilities documented in repositories such as MITRE's Common Vulnerabilities and Exposures CVE. However, Cyber Threat Intelligence resources, including MITRE ATT&CK and CV...

Exploit for CVE-2026-26030

Microsoft Semantic Kernel BPassed to VectorStore query/filte...

Predicting Known Vulnerabilities from Attack News: A Transformer-Based Approach

Identifying the vulnerabilities exploited during cyberattacks is essential for enabling timely responses and effective mitigation in software security. This paper directly examines the process of predicting software vulnerabilities, specifically Common Vulnerabilities and Exposures CVEs, from...

PT-2026-21331

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below, use non-atomic and insufficiently synchronized local JSON persistence flows, potentially causing concurrent operations to lose updates or corrupt local state...

CVE-2026-26030

Semantic Kernel, Microsoft's semantic kernel Python SDK, has a remote code execution vulnerability in versions prior to 1.39.4, specifically within the InMemoryVectorStore filter functionality. The problem has been fixed in version python-1.39.4. Users should upgrade this version or higher. As a...

Arbitrary Code Injection

Overview semantic-kernel is a Semantic Kernel Python SDK Affected versions of this package are vulnerable to Arbitrary Code Injection via the InMemoryVectorStore filter functionality due to lack of filtering for dangerous dunder attributes. An attacker can escape the sandbox and execute arbitrary...

GHSA-XJW9-4GW8-4RQX Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution

Impact: An RCE vulnerability has been identified in Microsoft Semantic Kernel Python SDK, specifically within the InMemoryVectorStore filter functionality. Patches: The problem has been fixed in python-1.39.4. Users should upgrade this version or higher. Workarounds: Avoid using InMemoryVectorSto...

Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution

Impact: An RCE vulnerability has been identified in Microsoft Semantic Kernel Python SDK, specifically within the InMemoryVectorStore filter functionality. Patches: The problem has been fixed in python-1.39.4. Users should upgrade this version or higher. Workarounds: Avoid using InMemoryVectorSto...

PYSEC-2026-163

Semantic Kernel, Microsoft's semantic kernel Python SDK, has a remote code execution vulnerability in versions prior to 1.39.4, specifically within the InMemoryVectorStore filter functionality. The problem has been fixed in version python-1.39.4. Users should upgrade this version or higher. As a...