0wwafa

To print a GROK chat, paste this code in javascript console:

(function() {
    var a = document.querySelector("body > div > div").children[0].children[1].children[0];
    if (a) {
        const b = window.open("", "_blank", `width=${.85 * window.screen.width},height=${.85 * window.screen.height},left=${.075 * window.screen.width},top=${.045 * window.screen.height}`)
          , e = Array.from(document.styleSheets).map(c => {
            try {
                return Array.from(c.cssRules).map(d => d.cssText).join("\n")
            } catch (d) {

0wwafa

GitHub Search Syntax for Finding API Keys/Secrets/Tokens

As a security professional, it is important to conduct a thorough reconnaissance. With the increasing use of APIs nowadays, it has become paramount to keep access tokens and other API-related secrets secure in order to prevent leaks. However, despite technological advances, human error remains a factor, and many developers still unknowingly hardcode their API secrets into source code and commit them to public repositories. GitHub, being a widely popular platform for public code repositories, may inadvertently host such leaked secrets. To help identify these vulnerabilities, I have created a comprehensive search list using powerful search syntax that enables the search of thousands of leaked keys and secrets in a single search.

Search Syntax:

(path:*.{File_extension1} OR path:*.{File_extension-N}) AND ({Keyname1} OR {Keyname-N}) AND (({Signature/pattern1} OR {Signature/pattern-N}) AND ({PlatformTag1} OR {PlatformTag-N}))

Examples:

**1.

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{
  "version_module": true,
  "title": "Instant Messaging Private API",
  "ownerName": "Google",
  "basePath": "",
  "version": "v1",
  "resources": {
    "group": {
      "methods": {

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#!/bin/sh


if [ $# -eq 0 ]; then
        echo "This script creates self extractable executable"
        echo Usage: $0 TAR.GZ [COMMAND]
        exit;
fi
if [ $# -gt 0 ]; then
        TAR_FILE=$1

0wwafa

Here are the key differences between human thinking and the thinking of a large language model (LLM) like me:

1. Nature of Thought

• Humans: Think through a combination of conscious and subconscious processes, including emotions, intuition, and personal experiences.

• LLMs: Generate responses based on patterns and structures learned from large datasets, without true consciousness, emotions, or personal experiences.

2. Learning Mechanisms

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Go to https://claude.ai/chat/new (or any other chat you had in the past).

Then run this code:

function printClaude() {   // (C) 2024 by ZeroWw. If you use this code, just give me some credit.

    const centralPart = document.getElementsByClassName('mb-1 mt-1')[1].parentElement.parentElement.parentElement.parentElement;

    if (centralPart) {
        // Create a new window for printing

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