Hand your code to the model for a security audit. It reports vulnerabilities one by one with risk levels and drop-in fix code.
Disclaimer: The content shown on this page is generated by an AI model and is for reference only. It does not constitute any guarantee of results. Actual output and Credits consumption are subject to "Usage Details" in the console.
qwen3.8-max, and it locates each vulnerability one by one, explains why it is dangerous, provides drop-in fix code, and finally ranks a remediation priority list by risk level.
Call chain: qwen3.8-max (paste code → per-vulnerability location + fix code + remediation priority). Pure text reasoning.
Steps: Security audit
Send the code to be audited along with the instruction below to qwen3.8-max:
View actual output · Security audit report (highest-risk RCE entry excerpt, qwen3.8-max)
View actual output · Security audit report (highest-risk RCE entry excerpt, qwen3.8-max)
Notes
- Consumption: This playbook involves text generation (
qwen3.8-max, code security audit). - Actual results: On the sample code, it accurately located command injection (RCE), SQL injection, XSS, and hardcoded secrets/weak credentials, ranked them from highest to lowest risk, and provided drop-in fix code for each.
- Data boundary: Code entering the context means it is sent to the server side. For real secrets, intranet addresses, and customer data, replace the values with placeholders before submitting — the model can still identify issues like "hardcoded credentials here" while preserving the code structure.