hunt-rce

To find RCE vulnerabilities, you map execution contexts where user-controlled input reaches an execution sink, test specific probes, and verify reproduction using output checks or out-of-band callbacks to confirm command execution.

Testing blind RCE requires out-of-band validation using external interaction tools like Collaborator or interactsh to receive callbacks, confirming that injected commands successfully executed on the target server rather than relying on visible output.

Hunting template injection and YAML deserialization vulnerabilities in Kubernetes endpoints involves enumerating cloud-native attack surfaces, mapping unsafe parsing paths, and testing execution sinks with targeted probes to identify command execution conditions.

Yes, the methodology applies to admin consoles and CI/CD workflows by mapping execution contexts, enumerating management interfaces, and testing path traversal to execution alongside dependency confusion and SpEL injection vectors.

Documenting reproducible steps when reporting RCE vulnerabilities proves real impact by demonstrating exactly how user-controlled input reaches the execution sink, moving beyond superficial findings to validated command execution.

Yes, hunt-rce covers common bypass strategies for execution sinks, addressing template injection, unsafe deserialization, and path traversal conditions while emphasizing validation gates to avoid misleading or blind reports.