pistell

{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "James Pistell",
    "label": "Front End Web Developer",
    "image": "http://jamespistell.com/images/jp_bwsmall.jpg",
    "email": "jamespistell@gmail.com",
    "phone": "(315) 576-5094",
    "url": "http://jamespistell.com",
    "summary": "James hails from Rochester, NY. He earned his degree from the State University of New York College at Brockport. Before starting his niche SaaS application he worked at YPC Media as the Director of MarTech solutions. While his work blended knowledge of digital marketing and programming, his non-work interests range widely from world history to JavaScript. In his spare time James moonlights as a Captain in the Army National Guard's 91st Cyber Brigade.",

pistell

// import the file system to save results to disk
const fs = require('fs');
// import Nightmare.js to scrape data
const Nightmare = require('nightmare')
// import vo to control the flow
const vo = require('vo')
// chalk just prints out nice things in the terminal. Useful for finding errors
const chalk = require('chalk')
// globally declare var for FileSystem's write stream
let stream;

pistell

grep -i "xmlrpc\.php" other_vhosts_access.log.1 | awk '{print $2 " " $8}' | sort | uniq -c | sort -n | tail > hack_attempts.txt

1. cd into your apache logs directory (ex- /var/log/apache2)
2. Run the grep command
   This will search the file "other_vhosts_access_log.1" for the string "xmlrpc.php
   Awk will then print out column 2 (the incoming connection) and column 8 (the file accessed)
   Sorts by unique IPs then numbers them by attempts
   Data is output to hack_attempts.txt for analysis
   
Example output::

pistell

jQuery('*:not([id]):not([class])');


//replace askterisk with whatever element you want
//eg- jQuery('img:not([id]):not([class])');
//will find all <img> tags with no class or ID

pistell

jQuery('.download').live('click', function(){
	var pdfPage = document.querySelector(".entry-title").innerText.split(" ").slice(0,-2).join(" ");
	_gaq.push(['_trackEvent', 'Download', pdfPage]);
});


//Line 1- Initialize jQuery, select the 'download' class, add a click even listener
//Line 2- pdfPage selects the 'entry-title' div, splits the text by whitespace, removes the last 2 elements, and joins them together
//Line 3- sends an event to Analytics with a category of "download" and an action value of pdfPage

pistell

<?php if (!is_home()) { ?>
    <script type="text/javascript">
        jQuery(document).ready(function() {
            jQuery('.theme-info a').attr('rel','nofollow');
        });
    </script>       
<?php } ?>

<!--
Line 1- Initializes PHP and checks to see if the page is NOT on the home page