CVE-2025-4386 Medtronic MyCareLink Patient Monitor Hardware Debug Port

Medtronic MyCareLink Patient Monitor has an internal serial interface, which allows an attacker with physical access to access a login prompt via a UART terminal.​...

CVE-2025-4386

CVE-2025-4386 concerns the Medtronic MyCareLink Patient Monitor, which exposes an internal serial interface that can be accessed by an attacker with physical access to reach a UART login prompt. The CVSSv3.1 vector (AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) yields a base score of 6.8 (MEDIUM). The att...

CVE-2025-4386: Improper Physical Access Control

Medtronic MyCareLink Patient Monitor has an internal serial interface, which allows an attacker with physical access to access a login prompt via a UART terminal.​...

Demystifying and Detecting Agentic Workflow Injection Vulnerabilities in GitHub Actions

GitHub Actions is increasingly used to deploy LLM-based agents for repository-centric tasks such as issue triage, pull-request review, code modification, and release assistance. These agentic workflows extend traditional CI/CD automation with agentic capabilities but also create a new injection...

Google Fixes CVSS 10 Gemini CLI Vulnerability Enabling GitHub Issue-Based RCE

Google patches a CVSS 10 Gemini CLI vulnerability that allowed hackers to use prompt injection and privilege escalation for a full supply chain compromise...

Exploit for CVE-2026-33324

CVE-2026-33324 Overview SQLBot, a sophisticated Text-to-S...

SecureMCP: A Policy-Enforced LLM Data Access Framework for AIoT Systems Via Model Context Protocol

The deployment of Large Language Model LLM-generated SQL queries in Artificial Intelligence of Things AIoT systems introduces critical security risks, as prompt injection attacks can manipulate LLMs into producing unauthorized queries that expose sensitive data or execute destructive operations...

CVE-2026-40068

In versions 2.1.63 through 2.1.83 of Claude Code, the folder trust determination logic used the git worktree commondir file without validating its contents. An attacker could craft a malicious repository with a commondir file pointing to a path the victim had previously trusted, causing Claude Co...

CVE-2026-33324

SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and th...

CVE-2026-33324 SQLBot prompt injection allows arbitrary SQL execution and remote code execution

SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and th...

EUVD-2026-27446

SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and th...

CVE-2026-33324

SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and th...

CVE-2026-33324 SQLBot prompt injection allows arbitrary SQL execution and remote code execution

SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and th...

CVE-2026-33324

SQLBot’s Text-to-SQL prompt injection vulnerability affects versions 1.7.0 and earlier, where the user’s question is concatenated into the LLM prompt and the resulting SQL is executed without validation. An authenticated attacker can craft a malicious query to coerce the LLM into generating and r...

ARGUS: Defending LLM Agents against Context-Aware Prompt Injection

The rise of Large Language Model LLM agents, augmented with tool use, skills, and external knowledge, has introduced new security risks. Among them, prompt injection attacks, where adversaries embed malicious instructions into the agent workflow, have emerged as the primary threat. However,...

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts

Smart contracts on blockchains are prone to diverse security vulnerabilities that can lead to significant financial losses due to their immutable nature. Existing detection approaches often lack flexibility across vulnerability types and rely heavily on manually crafted expert rules. In this pape...

The Infinite Mutation Engine? Measuring Polymorphism in LLM-Generated Offensive Code

Malware authors have traditionally relied on polymorphic techniques to produce variants in the same malware family, complicating signature-based detection. Integrating generative AI into offensive toolchains enables attackers to synthesize structurally diverse payloads with identical behavior,...

SQLBot SQL注入漏洞

SQLBot is an intelligent data querying system developed by DataEase, based on large models and RAG techniques. Versions of SQLBot 1.7.0 and earlier contained a SQL injection vulnerability. This vulnerability stemmed from the Text2SQL chat interface, where the user-provided question parameter was...

PT-2026-41408

Summary The agent-facing gateway tool protects config.apply and config.patch with a model-to-operator trust boundary. That guard used a hand-maintained denylist of protected config paths. The config schema outgrew that denylist, leaving sensitive subtrees writable through model-driven gateway...

PT-2026-37219

Name of the Vulnerable Software and Affected Versions SQLBot versions prior to 1.7.1 Description The Text2SQL chat interface is susceptible to prompt injection. The question parameter is concatenated into the Large Language Model LLM prompt without filtering or escaping, and the resulting SQL is...