Attacks/Breaches
2/5/2014
12:31 PM
Dark Reading
Dark Reading
Products and Releases
Connect Directly
RSS
E-Mail
50%
50%

Akamai Upgrades Kona Site Defender WAF

Combination of data from Akamai Intelligent Platform and new testing framework improves security and reduces false positive attack alerts

CAMBRIDGE, Mass., Feb. 4, 2014 /PRNewswire/ -- Organizations face great risk from increasingly frequent and continually evolving attempts to render web properties unavailable or steal intellectual property and personally identifiable information. Akamai Technologies, Inc. (NASDAQ: AKAM), the leading provider of cloud services for delivering, optimizing and securing online content and business applications, today announced that several improvements to its Kona Site Defender web security solutions have been shown to result in dramatic improvements to WAF accuracy. Customers using Akamai's new default Web Application Firewall (WAF) rules configuration experienced, on average, 96% accuracy based on measurements that use the Matthews Correlation Coefficient (MCC) scoring. The accuracy levels demonstrated by Akamai's out-of-the-box WAF configuration, represented by a reduction in reported false positives and false negatives, help customers better identify and block attacks while at the same time allowing legitimate traffic to pass.

(Logo: http://photos.prnewswire.com/prnh/20100225/AKAMAILOGO )

As part of an initiative to provide its customers with WAF technology designed to be as accurate as possible, Akamai developed a custom-built, closed loop test framework for processing a vast amount of attack traffic data collected from the Akamai Intelligent Platform(TM). The ability to analyze attacks as they happen "in the wild" (representing an average throughput of 1.5 TB of data and over 10 billion WAF events per day) allowed the security engineering team to craft an improved rule set that detects and blocks more attack vectors without impacting legitimate user traffic. Further, Kona Site Defender's WAF now includes protections designed to detect and block some of the newer, popular attack methods that other WAFs do not detect without extensive tuning, such as PHP Injections and Remote File Inclusions.

"Our goal was to advance the state of the art in WAF accuracy testing frameworks used to create and tune WAF rules and ensure that ours could take advantage of both the sheer amount of data and the intelligence afforded by Akamai's global computing platform," said Ory Segal, principal security architect and threat research team manager, Akamai. "Through our efforts to develop Akamai's new advanced testing framework and combine it with our industry-leading data, we believe Akamai is the only company able to offer a WAF solution that takes advantage of data-driven continuous improvement to optimize accuracy and maximize threat coverage."

Akamai initiated its testing framework program by reviewing the rule combinations that were involved in generating the most false positive scenarios and analyzed their causes, in order to uncover recurring problems. This research allowed the team to modify and improve attack detection logic that was either inaccurate or that regularly resulted in false positives. Armed with these insights, Akamai improved the existing rule accuracy and coverage as well as developed new rules made available to customers.

Part of the Company's Kona Site Defender web security solutions, the Kona WAF is a highly scalable edge defense service architected to detect and mitigate potential application layer attacks such as Distributed Denial of Service (DDoS) attacks and SQL injection attacks in HTTP and HTTPS traffic as they pass through Akamai's Intelligent Platform in their attempt to reach customer data centers.

The Kona WAF is designed to scale instantly to preserve performance and filter attack traffic close to the source of the attack, protecting customer infrastructure and keeping web applications up and running.

About Akamai

Akamai® is the leading provider of cloud services for delivering, optimizing and securing online content and business applications. At the core of the Company's solutions is the Akamai Intelligent Platform(TM) providing extensive reach, coupled with unmatched reliability, security, visibility and expertise. Akamai removes the complexities of connecting the increasingly mobile world, supporting

24/7 consumer demand, and enabling enterprises to securely leverage the cloud.

To learn more about how Akamai is accelerating the pace of innovation in a hyperconnected world, please visit www.akamai.com or blogs.akamai.com, and follow @Akamai on Twitter.

Comment  | 
Print  | 
More Insights
Register for Dark Reading Newsletters
White Papers
Cartoon
Current Issue
Flash Poll
Video
Slideshows
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2013-5467
Published: 2014-08-29
Monitoring Agent for UNIX Logs 6.2.0 through FP03, 6.2.1 through FP04, 6.2.2 through FP09, and 6.2.3 through FP04 and Monitoring Server (ms) and Shared Libraries (ax) 6.2.0 through FP03, 6.2.1 through FP04, 6.2.2 through FP08, 6.2.3 through FP01, and 6.3.0 through FP01 in IBM Tivoli Monitoring (ITM)...

CVE-2014-0600
Published: 2014-08-29
FileUploadServlet in the Administration service in Novell GroupWise 2014 before SP1 allows remote attackers to read or write to arbitrary files via the poLibMaintenanceFileSave parameter, aka ZDI-CAN-2287.

CVE-2014-0888
Published: 2014-08-29
IBM Worklight Foundation 5.x and 6.x before 6.2.0.0, as used in Worklight and Mobile Foundation, allows remote authenticated users to bypass the application-authenticity feature via unspecified vectors.

CVE-2014-0897
Published: 2014-08-29
The Configuration Patterns component in IBM Flex System Manager (FSM) 1.2.0.x, 1.2.1.x, 1.3.0.x, and 1.3.1.x uses a weak algorithm in an encryption step during Chassis Management Module (CMM) account creation, which makes it easier for remote authenticated users to defeat cryptographic protection me...

CVE-2014-3024
Published: 2014-08-29
Cross-site request forgery (CSRF) vulnerability in IBM Maximo Asset Management 7.1 through 7.1.1.12 and 7.5 through 7.5.0.6 and Maximo Asset Management 7.5.0 through 7.5.0.3 and 7.5.1 through 7.5.1.2 for SmartCloud Control Desk allows remote authenticated users to hijack the authentication of arbitr...

Best of the Web
Dark Reading Radio
Archived Dark Reading Radio
This episode of Dark Reading Radio looks at infosec security from the big enterprise POV with interviews featuring Ron Plesco, Cyber Investigations, Intelligence & Analytics at KPMG; and Chris Inglis & Chris Bell of Securonix.