prototype-pollution

To test for prototype pollution, run expert payload probes against JSON bodies and query parameters to assess pollution surfaces. This identifies vulnerable input merging paths and deep-merge routines in both client and server environments.

Payload patterns for prototype pollution target vectors like __proto__ and constructor.prototype in JSON or form data. These structured payloads exploit deep-merge routines to inject user-controlled keys into JavaScript objects.

Yes, you can assess prototype pollution risks in both frontend and server environments. The testing workflows cover input merging paths in JSON, query strings, and deep-merge routines across web servers and client applications.

A gadget chain in prototype pollution vulnerability testing identifies how polluted prototypes enable remote or local code execution. It maps how merged user-controlled keys compromise global state and trigger downstream security impacts.

To remediate prototype pollution vulnerabilities, apply structured remediation strategies and risk prioritization based on the detected pollution surfaces. This guides securing merge routines against __proto__ and constructor.prototype injections.

Yes, prototype pollution testing works with deep-merge routines in JavaScript. It detects pollution vectors by probing how user-controlled keys are merged into objects, exposing global state compromises and code execution risks.