#web

### Impact Flowise allows developers to inject configuration into the Chainflow during execution through the `overrideConfig` option. This is supported in both the frontend web integration and the backend Prediction API. This has a range of fundamental issues that are a **major** security vulnerability. While this feature is intentional, it should have strong protections added and be disabled by default. These issues include: 1. Remote code execution. While inside a sandbox this allows for 1. Sandbox escape 2. DoS by crashing the server 3. SSRF 2. Prompt Injection, both System and User 1. Full control over LLM prompts 2. Server variable and data exfiltration And many many more such as altering the flow of a conversation, prompt exfiltration via LLM proxying etc. These issues are self-targeted and do not persist to other users but do leave the server and business exposed. All issues are shown with the API but also work with the web embed. ### Workarounds - `overrideC...

## Summary A critical remote OS command injection vulnerability has been identified in the Llama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. ## Affected Version Llama Factory versions **<=0.9.0** are affected by this vulnerability. ## Impact Exploitation of this vulnerability allows attackers to: 1. Execute arbitrary OS commands on the server. 2. Potentially compromise sensitive data or escalate privileges. 3. Deploy malware or create persistent backdoors in the system. This significantly increases the risk of data breaches and operational disruption. ## Root Cause The vulnerability originates from the training process where the `output_dir` value, obtained from the user input, is in...

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