Markizano.NET

In recent trials, I have encountered a need to update the configuration for Apache to conform to PCI compliance. More information on Apache's configuration with SSL can be found here . The configuration you can use to have PCI-compliant SSL for Apache is: SSLProtocol -ALL +SSLv3 +TLSv1 SSLCipherSuite HIGH:MEDIUM:+TLSv1:!SSLv2:+SSLv3:!ADH Breakdown: "HIGH:MEDIUM": This will enable Apache for the seven strongest algorithms used for encryption. "+TLSv1": Enable TLS version 1 encryption. "!SSLv2": Disable the weaker SSL version 2 encryption. "+SSLv3": Enable the stronger SSL version 3 encryption. "!ADH": Disable the ADH versions of encryption, which are weaker algorithms.

In recent research, I've discovered a few things about malware signature generation (MSG) and the whole model that surrounds it. Most of this is just speculation, which would explain the lack of citations. However, I would like to expand on what we have and create a smarter product. As I understand it, MSG is based on just understanding exploits that have been created and basically blacklisting and whitelisting code that has already been written. The problem is there is an infinite number of ways a task can be completed, so having a complete and inclusive list (or even a list up to date with the most recent hacks) is nearly impossible. With the plethora of technologies involved in a single web page request, that probability of having a fully inclusive list of exploits is even more stark. Last week, I had a theory that if one were to compile source code to bytecode or binary, then you could inspect the result of that to determine if similar plaintext code would have the same binary

In recent work, I've encountered a task where we are identifying malware based on a signature that is a snippet of code that performs the malicious activity. These are usually JavaScript- or PHP-based exploits that disable any local protections and transfer whatever data or payload to or from the client for further exploitation. The question is how to identify these snippets of code so we can take action to have it removed. I think it would not be the most efficient way to copy/paste the code into a database and check to see if you ever find that snippet again because the variable names could be changed, lines of code could be shifted around or even a different character set in the files would pretty much invalidate the signature on the last one found just like it. One higher priority question to me is: Will compiling PHP and JavaScript to bytecode, and generating signatures for the binary results be a more effective way of identifying malware than identifying copy/pasted snippets