Flowise: Airtable_Agent Code Injection Remote Code Execution Vulnerability

PraisonAI Vulnerable to OS Command Injection

PraisonAI before 4.6.78 contains a prompt injection defense bypass vulnerability where the injection defense only blocks threats classified as CRITICAL, requiring three or more detector families to match simultaneously. Attackers

PraisonAI MCP `tools/call` path-traversal => RCE via Python `.pth` injection

husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code

Flowise: Remote code execution vulnerability in AirtableAgent.ts caused by lack

enabled, channel metadata (topic/description) can be incorporated into the model's system prompt. Prompt injection is a documented risk for LLM-driven systems. This issue increases the injection surface

PraisonAI versions before 4.6.78 contain a prompt injection defense misconfiguration where the block threshold defaults to CRITICAL severity, allowing HIGH-level threats to pass through unblocked. Attackers can submit single

Prompt injection vulnerability in 1millionbot Millie chatbot that occurs when a user manages to evade chat restrictions using Boolean prompt injection techniques (formulating a question in such a way that

OpenClaude Sandbox Bypass via Model-Controlled `dangerouslyDisableSandbox` Input

JSONalyzeQueryEngine` in the run-llama/llama_index repository allows for SQL injection via prompt injection. This can lead to arbitrary file creation and Denial-of-Service (DoS) attacks. The vulnerability affects

GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service

server CORS wildcard + auth-off-by-default enables CSRF graph exfiltration and persistent indirect prompt injection

Flowise: APIChain Prompt Injection SSRF in GET/POST API Chains

langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service

PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution (RCE) instead of the intended explanation

DeepSeek TUI: run_tests Tool Enables RCE via Malicious Repository

PraisonAIAgents: Environment Variable Secret Exfiltration via os.path.expandvars() Bypassing shell=False

mcp-atlassian: Arbitrary file read via missing path validation in

requires critical-level approval, read_skill_file has neither protection. An agent influenced by prompt injection can exfiltrate sensitive files without triggering any approval prompt