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npm Package Uses Prompt Injection and Token Flooding to Disrupt AI Malware Scanners
A new npm package tests AI malware scanners with prompt injection, safety-triggering comments, context flooding, and obfuscated JavaScript.
@snapcall/widget-sdk
Advanced tools
doc: https://doc.snapcall.io/#widget-api contact: support@snapcall.io
npm install @snapcall/widget-sdk
load the snapcall widget:
import { snapcallAPI } from '@snapcall/widget-sdk';
const bid = ""; // create an account on https://admin.snapcall.io/login to get a button identifier
snapcallAPI.initWidget(bid);
npm install @snapcall/widget-sdk
load the snapcall widget:
<script type="module" src="node_modules/snapcall/index.js"></script>
const bid = ""; // create an account on https://admin.snapcall.io/login to get a button identifier
// snapcall script loaded before
if (snapcallAPI && snapcallAPI.initWidget) {
snapcallAPI.initWidget(bid);
}
else {
// snapcall script loaded after
window.addEventListener('snapcallEvent_init', () => {
snapcallAPI.initWidget(bid);
})
}
FAQs
SDK for building SnapCall experiences
The npm package @snapcall/widget-sdk receives a total of 21 weekly downloads. As such, @snapcall/widget-sdk popularity was classified as not popular.
We found that @snapcall/widget-sdk demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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