On the heels of leaking personal and
confidential data from the U.S. Democratic National Committee (DNC), the World
Anti-Doping Agency (WADA) database, and countless other cyber-attacks, the Russian
hacking group ‘Fancy Bear’ has turned its focus on the disruption of the BBC’s
UK election coverage, as well as various British government websites. In these attempted attacks, cyber experts at Britain’s
GCHQ were able to thwart the cyber-attack before it began. This information is being provided for your
situational awareness.
Publication
date: 25
September 2016
Handling
requirements: Traffic
light protocol (TLP) GREEN
Attribution/Threat
Actors: Fancy Bears’ Hack Team
Actor Type: Adversary capabilities have been assessed as Tier V*
Potential Targets: USA
/ International
Past Reporting: Red
Sky Alliance: DOC-2590, DOC-4007, DOC-4311
*State actors who create vulnerabilities through an active program to “influence” commercial products and services during design, development or manufacturing, or with the ability to impact products while in the supply chain to enable exploitation of networks and systems of interest.
The full attribution report has been published in its entirety in the Red Sky Alliance portal. For more information please contact the lab directly at 844-4-WAPACK, 603-606-1246, or feedback@wapacklabs.com.
About Wapack Labs
Wapack Labs, located in New Boston, NH is a Cyber Threat Analysis and Intelligence organization supporting the Red Sky Alliance, the FS-ISAC and individual organizations by offering expert level targeted intelligence analysis answering some of the hardest questions in Cyber. Wapack Labs’ engineers, researchers and analysts use deep analysis techniques and visualization to design and deliver transformational cyber-security analysis tools that fuse open source and proprietary information. The intelligence derived from these tools and techniques serve as the foundation of Wapack Labs’ information reporting to the cyber-security teams of its customers and industry partners located around the world.
