I have just been looking at the current state of the payday loans serps in the uk, most of the churn and burn sites that are dominating the top 10 results have stupid urls like "mummy loans" "panda loans" ninja loans" "penguin loans" thats a big f* you to google right there. Most of you will be thinking they're using Sape, a more detailed inspection reveals otherwise. If you look at their back links they suddenly go from 0 BL's to 300k plus in a matter of days. All links are present on high quality real and unrelated sites. I doubt someone registered with sape and placed that many links in such a short space of time. What is actually going on here is the use of custom made and highly sophisticated tools that scan the internet for known and some unknown web/server vulnerabilities. w3 Super Cache, Oracle, SQL injection, Apache tomcat remote, freebsd ftpd, freebsd telnetd, (many web servers use freebsd) are just a few of the easy to exploit remote vulnerabilities available to even low skilled individuals. Its not hard to write an automated tool to use nmap to scan for open ports, then use the scripting facility built into nmap to test for individual vulnerabilities on the list of IP's generated from the initial scan. Using this method its possible to penetrate and insert links to a given url in a very short space of time. I've scanned some of the servers and my initial tests show them to be vulnerable to publicly available exploits. What does that have to do with blackhat seo? Obviously this is akin to spitting in Google's face as there is currently nothing they can do about this, when you, make a mockery of Google in this way I fully expect them to lash out in retaliation, and that's going to cause untold collateral damage. You have to understand these idiots are only going to make it harder for all of us to rank. An algorithmic fix for this involves devaluing all links and using different ranking factors entirely. Its not surprising Google have invested in D-waves quantum computers and are having a crack and massively improving machine learning to detect black-hat spam. Thats a long way off and until then Google are losing and they are losing in a big way.