Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Vulnerabilities / Threats

3/19/2013
06:26 PM
Dark Reading
Dark Reading
Products and Releases
50%
50%

Prolexic Releases DNS Reflection Attack White Paper

DrDoS technique exploits security weaknesses in the Domain Name System (DNS) Internet protocol

HOLLYWOOD, FL – (March 19, 2013) – Prolexic, the global leader in Distributed Denial of Service (DDoS) protection services, announced today that it has released the first of several white papers about Distributed Reflection Denial of Service (DrDoS) attacks. DrDoS attacks, an attack method which has been used for more than a decade, have recently surged in popularity across a broad range of industries.

In this white paper, prepared by the Prolexic Security Engineering and Response Team (PLXsert) discusses and analyzes DNS Reflection attacks. The DNS Reflection DrDoS technique exploits security weaknesses in the Domain Name System (DNS) Internet protocol, an important Internet feature that allows the public to type in human-friendly domain names instead of numerical IP addresses to access websites.

In this type of attack, a cyberattacker leverages zombie computers in a botnet to send domain name requests to DNS servers in a way that causes DNS servers to send a flood of responses to a targeted domain. This kind of DrDoS attack can overwhelm and slow response times – or completely stop legitimate user access – and affects both the DNS servers and the targeted domain.

A DNS Reflection attack is relatively easy for cybercriminals to launch, and takes advantage of security loopholes in the DNS protocol, PLXsert warns. What's more, it is difficult to pinpoint the source of a reflected DDoS attack, offering anonymity to the attacker.

"DNS Reflection DrDoS attacks are an overlooked but dangerous DDoS attack method," said Stuart Scholly, Prolexic President. "Prolexic is releasing this white paper to help make DNS server administrators, IT administrators and business leaders aware of this potential security threat against their networks. In addition, the white paper can help victims understand the technical details of what took place, so they can more quickly mitigate these kinds of DDoS attacks in the future."

The DNS Reflection Attack white paper explains DNS and how an attacker exploits the protocol to cause an outage. The white paper is available free of charge at www.prolexic.com/drdos.

About the Prolexic Security Engineering & Response Team (PLXsert)

PLXsert monitors malicious cyber threats globally and analyzes DDoS attacks using proprietary techniques and equipment. Through data forensics and post attack analysis, PLXsert is able to build a global view of DDoS attacks, which is shared with customers. By identifying the sources and associated attributes of individual attacks, the PLXsert team helps organizations adopt best practices and make more informed, proactive decisions about DDoS threats.

Details of Prolexic's DDoS mitigation activities and insights into the latest tactics, types, targets and origins of global DDoS attacks are provided in quarterly reports published by the company. A complimentary copy of Prolexic's Q4 2012 Global DDoS Attack Report is available at www.prolexic.com/attackreports.

About Prolexic

Prolexic is the world's largest, most trusted Distributed Denial of Service (DDoS) mitigation provider. Able to absorb the largest and most complex attacks ever launched, Prolexic restores mission-critical Internet-facing infrastructures for global enterprises and government agencies within minutes. Ten of the world's largest banks and the leading companies in e-Commerce, SaaS, payment processing, travel/hospitality, gaming and other at-risk industries rely on Prolexic to protect their businesses. Founded in 2003 as the world's first in- the-cloud DDoS mitigation platform, Prolexic is headquartered in Hollywood, Florida and has scrubbing centers located in the Americas, Europe and Asia. To learn more about how Prolexic can stop DDoS attacks and protect your business, please visit www.prolexic.com, follow us on LinkedIn, Facebook and Google+ or follow @Prolexic on Twitter.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...