Logic-to-Code Execution via Indirect Prompt Injection

This document explores a critical architectural vulnerability in Large Language Model LLM implementations, specifically within Command Line Interface CLI tools and automated agentic workflows. The research demonstrates how the absence of separation between the control plane instructions and the...

AgentVisor: Defending LLM Agents against Prompt Injection Via Semantic Virtualization

Large Language Model LLM agents are increasingly used to automate complex workflows, but integrating untrusted external data with privileged execution exposes them to severe security risks, particularly direct and indirect prompt injection. Existing defenses face significant challenges in balanci...

Evaluation of Prompt Injection Defenses in Large Language Models

LLM-powered applications routinely embed secrets in system prompts, yet models can be tricked into revealing them. We built an adaptive attacker that evolves its strategies over hundreds of rounds and tested it against nine defense configurations across more than 20,000 attacks. Every defense tha...

Insufficient Granularity of Access Control

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Insufficient Granularity of Access Control via insufficient access control in the gateway config.patch and config.apply processes. An attacker can modify protected operator settings by...

GHSA-RP7V-4384-HFRP k8sGPT has Prompt Injection through its k8sGPT-Operator

Summary In the auto-remediation pipeline, objecttoexecution.go was deserializing the AI-generated YAML directly into a Deployment object, but there was lack of validation from the original Deployment object. Details This issue was fixed after coordination with Alex Jones. PoC To minimize the...

k8sGPT has Prompt Injection through its k8sGPT-Operator

Summary In the auto-remediation pipeline, objecttoexecution.go was deserializing the AI-generated YAML directly into a Deployment object, but there was lack of validation from the original Deployment object. Details This issue was fixed after coordination with Alex Jones. PoC To minimize the...

CVE-2026-41318

AnythingLLM prior to v1.12.1 is vulnerable to stored DOM-based XSS via an unsafe image rendering rule and unsanitized chart captions in the Chartable component. The vulnerability arises because renderMarkdown(...) output is sanitized in all call sites except Chartable, where LLM-generated caption...

📄 OpenClaw 2026.3.13 MEDIA Protocol File Disclosure

This Python script is a security exploitation tool targeting the OpenClaw system integrated with Discord. It attempts to exfiltrate sensitive files from a victim environment by abusing a MEDIA: prompt injection mechanism...

Anthropic Claude Code < 2.1.64 Sandbox Escape via Symlink Following (CVE-2026-39861)

The version of Anthropic Claude Code installed on the remote host is prior to 2.1.64. It is, therefore, affected by a sandbox escape vulnerability. - Claude Code's sandbox did not prevent sandboxed processes from creating symlinks pointing to locations outside the workspace. When Claude Code...

CVE-2026-41265

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the AirtableAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt...

CVE-2026-41264

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSVAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can...

CVE-2026-41264

Flowise CVE-2026-41264 affects the Flowise CSV Agent node. The flaw is in the run method of the CSV_Agents class, where an LLM-generated Python script is evaluated without proper sandboxing, enabling prompt-injection to cause execution of attacker-controlled commands on the Flowise server. This a...

CVE-2026-41264

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSVAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can...

CVE-2026-41264 Flowise: CSV Agent Prompt Injection Remote Code Execution Vulnerability

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSVAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can...

CVE-2026-41264 Flowise: CSV Agent Prompt Injection Remote Code Execution Vulnerability

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSVAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can...

CVE-2026-41265 Flowise: Airtable_Agent Code Injection Remote Code Execution Vulnerability

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the AirtableAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt...

CVE-2026-41265

CVE-2026-41265 affects Flowise with the Airtable_Agents class, where the run method evaluates an LLM-generated Python script without proper sandboxing. This allows prompt-injection via chatflows to coax the LLM into returning a malicious Python script that executes attacker-controlled commands on...

CVE-2026-41265 Flowise: Airtable_Agent Code Injection Remote Code Execution Vulnerability

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the AirtableAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt...

EUVD-2026-25294

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the AirtableAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt...

CVE-2026-41265 Flowise: Airtable_Agent Code Injection Remote Code Execution Vulnerability

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the AirtableAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt...