Akamai mPulse is a real user monitoring solution, providing detailed information about the user experiences delivered by your web applications. mPulse can be configured within your Akamai property to automatically start collecting data from your customer visits. This initial setup will gather the data required to use advanced features in Adaptive Acceleration such as Script Manager, Automatic Server Push, and Automatic Preconnect.
This post is part of a series about Offensive BPF that I’m working on to learn how BPFs use will impact offensive security, malware, and detection engineering.
Click the “ebpf” tag to see all relevant posts.
One of the issues I ran into when trying out sslsniff-bpfcc was that it did not work with Firefox or Chrome traffic.
This post is about me learning how to hook user space APIs with bpftrace using uprobes.
Breaking news: we just completed an 850-user pilot with Akamai MFA. In this blog, the first in a series, I?ll explain why we switched to Akamai MFA, how we ran our pilot, and employee feedback so far. Check back for my next blog, when we?re midway through our global deployment.
A burglar checks for open windows. Neglecting to lock just one is like leaving the door wide open. In the same way, cyber attackers look for the easiest user accounts to take over ? whether that?s network access credentials, email, on-premise applications, or cloud/SaaS applications. If they?re lucky, they can also use the stolen credentials to breach other systems, an action known as lateral movement.
Today you are in for a special treat. Did you know that an adversary can hide a smaller image within a larger one?
This video demonstrates how a small image becomes magically visible when the computer resizes the large image, and also how to mitigate the vulnerability.
This is possible when vulnerable code uses insecure interpolation.
If you like this one check out the overall Machine Learning Attack Series.