Hackers captured a Flock camera and got a look (alternate link) at the software:

While much of the automatic license plate reader’s (ALPR) most sensitive storage remained encrypted and inaccessible, the joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist’s saddlebag.

If you’re wondering how the hackers got by disk encryption, one of the unencrypted partitions contained the key for an encrypted partition. That’s pretty bad security engineering.

Researchers have reverse-engineered a piece of malware named Fast16. It’s almost certainly state-sponsored, probably US in origin, and was deployed against Iran years before Stuxnet:

“…the Fast16 malware was designed to carry out the most subtle form of sabotage ever seen in an in-the-wild malware tool: By automatically spreading across networks and then silently manipulating computation processes in certain software applications that perform high-precision mathematical calculations and simulate physical phenomena, Fast16 can alter the results of those programs to cause failures that range from faulty research results to catastrophic damage to real-world equipment.”

Another news article.

Lots of interesting details at the links.

Last month I gave a workshop for a group of 20-25 enthusiastic women, all either starting in infosec, or with an interest to start in this field.

For that purpose, I had created a full workshop: slides or a presentation introducing the concepts of Malware Analysis, Threat Intelligence and Reverse Engineering.

The idea was to convey these topics in a clear and approachable manner, both theory and in practice; for the latter, I had set up a custom VM, with Labs, including my own created applications, some with simple obfuscation.

All participants were very enthusiastic, and I hope to have sparkled most, if not some of them to pursue a career in this field. For this exact same reason, I am now releasing the presentation to the public - the VM and recordings however will not be published, as I created these solely for CWF.

You may however download the LAB material from Github below:
https://github.com/bartblaze/MaTiRe

Without any further ado, you may find the slides below, on SlideShare:


Any feedback is always appreciated.

I would also like to thank Nathalie for putting me in touch with Rosanna, the organiser of the CyberWayFinder program. And of course, my gratitude to all the attendees for making it!

Mind the disclaimer for the slides. License: CC Attribution-NonCommercial-NoDerivs License