We have seen a sustained rate in many nodes  inside AS13489 and AS27989 nodes of  about 25 Mbps. Some very old SQL servers have been compromised, but the Internet speed has been compromised and navigation it's very slow.

Have you seen something like this today on your AS? Let us know!

Manuel Humberto Santander Peláez
SANS Internet Storm Center - Handler
Twitter:@manuelsantander
Web:http://manuel.santander.name
e-mail: msantand at isc dot sans dot org

Chris Cosentino, the Bay Area’s "Offal Chef" at Incanto in San Francisco and PIGG at Umamicatessen in Los Angeles, opted for the most intimidating choice of all -- giant squid. "When it comes to underutilized fish, I wish the public wasn't so afraid of different shapes and sizes outside of the standard fillet," he said.

"I think the giant squid is a perfect example of an undervalued ocean creature. Everyone isn't afraid of squid but the size and flavor of the giant squid scares people because it has a very intense flavor but it is quite delicious."

I am surprised he has tasted giant squid?

As usual, you can also use this squid post to talk about the security stories in the news that I haven't covered.

Abstract: Some decisions, such as predicting the winner of a baseball game, are challenging in part because outcomes are probabilistic. When making such decisions, one view is that humans stochastically and selectively retrieve a small set of relevant memories that provides evidence for competing options. We show that optimal performance at test is impossible when retrieving information in this fashion, no matter how extensive training is, because limited retrieval introduces noise into the decision process that cannot be overcome. One implication is that people should be more accurate in predicting future events when trained on idealized rather than on the actual distributions of items. In other words, we predict the best way to convey information to people is to present it in a distorted, idealized form. Idealization of training distributions is predicted to reduce the harmful noise induced by immutable bottlenecks in people’s memory retrieval processes. In contrast, machine learning systems that selectively weight (i.e., retrieve) all training examples at test should not benefit from idealization. These conjectures are strongly supported by several studies and supporting analyses. Unlike machine systems, people’s test performance on a target distribution is higher when they are trained on an idealized version of the distribution rather than on the actual target distribution. Optimal machine classifiers modified to selectively and stochastically sample from memory match the pattern of human performance. These results suggest firm limits on human rationality and have broad implications for how to train humans tasked with important classification decisions, such as radiologists, baggage screeners, intelligence analysts, and gamblers.

A lot of fundamental social problems can be modeled as a disconnection between people who believe (correctly or incorrectly) that they are playing a non-iterated game (in the game theory sense of the word), and people who believe that (correctly or incorrectly) that they are playing an iterated game.

For instance, mechanisms such as reputation mechanisms, ostracism, shaming, etc., are all predicated on the idea that the person you're shaming will reappear and have further interactions with the group. Legal punishment is only useful if you can catch the person, and if the cost of the punishment is more than the benefit of the crime.

If it is possible to act as if the game you are playing is a one-shot game (for instance, you have a very large population to hide in, you don't need to ever interact with people again, or you can be anonymous), your optimal strategies are going to be different than if you will have to play the game many times, and live with the legal or social consequences of your actions. If you can make enough money as CEO to retire immediately, you may choose to do so, even if you're so terrible at running the company that no one will ever hire you again.

Social cohesion can be thought of as a manifestation of how "iterated" people feel their interactions are, how likely they are to interact with the same people again and again and have to deal with long term consequences of locally optimal choices, or whether they feel they can "opt out" of consequences of interacting with some set of people in a poor way.

1.1 - Mach-O Address Space
1.2 - VirtualBox ELF64 Core Dumps
1.3 - VMware Snapshot and Saved State Analysis
1.4 - New HPAK Address Space
1.5 - ARM Address Space (Volatility and Andriod / Mobile)
2.1 - RSA Private Keys and Certificates
2.2 - Unloaded Windows Kernel Modules

Cheers,
Adrien de Beaupré
Intru-shun.ca Inc.
My SANS Teaching Schedule