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.

Comments
Why Businesses Fail to Address DNS Security Exposures
Newest First  |  Oldest First  |  Threaded View
USEC
50%
50%
USEC,
User Rank: Apprentice
10/10/2019 | 11:41:34 AM
Source of Stats
Ronan - can you provide the source of the statistics in the article?
USEC
50%
50%
USEC,
User Rank: Apprentice
10/10/2019 | 11:40:20 AM
Source of stats
Ronan - love this article. I've read it probably 6 times since you posted it. So, thanks!

I wanted to ask for the data for for the statistics you mentioned, namely in the precentages year-over-year growth and of attack base. 

Thanks
RonanDavid
50%
50%
RonanDavid,
User Rank: Author
9/10/2019 | 12:09:10 PM
Re: I do think there needs to be more clarity as to how to address this problem

Thanks for your comment. The main purpose of the article is to shed some light on the DNS as a perfect tool to help increase security for enterprises. As part of the zero-trust approach, DNS can help in segmenting the application access and have a detailed view of the intent of user clients.

DNSSEC is effectively a good way to add integrity control on the DNS information transported. DNS over TLS would bring confidentiality at the transport level, but clients need to be updated first in the operating systems.

Flow analysis with advanced methods like neural networks or clustering is also an approach to look at. We at EfficientIP are investing a lot in these directions to increase our detection ability of bad domains (such as zero-day malicious domains or DGA) and non-conforming behavior of applications.

Trusting the DNS providers is probably not enough in the space of the enterprise. The distributed model of the DNS is not easy to centralize (nor a good option for Internet service continuity). Enterprises have not (and will not) moved all their workloads and data into cloud infrastructures- some require a higher level of control on their resources, some are not trusting providers for data security. Internal enterprise DNS is still a perfect way to increase security with filtering, segmenting the access to application and analyzing user behaviors. Feeding SIEM with events from the DNS, and some logs in special circumstances, provides a good way to enhance security for enterprise assets and data as a whole. This is the main purpose of security in IT.

tdsan
100%
0%
tdsan,
User Rank: Ninja
9/6/2019 | 4:30:22 PM
I do think there needs to be more clarity as to how to address this problem

Having a granular view of users and applications becomes a standard approach, not an exception. Almost all Internet connections are initiated through DNS, meaning DNS sees 95% of traffic going through the network. Analyzing the behavior of each user brings valuable data for detecting potential menaces hidden in the traffic. This surveillance of each client at such a detailed level is key to successful zero-trust strategy. Plus, administrators also should know the status of the network in real time at all times. 

Ok, this is good from a novice standpoint and it explains what we need from a 50K foot view, but how do we really solve the problem. Zero-trust strategy is good but how can you be Zero-Trust when data is coming from the internet that is constantly changing.

For me, there are a few things we did to help address this problem:
  • Implemented IPv6 to run in most if not all of our environment (enable AES256 VPN ESP/AH Connections to your offsite locations)
  • Implement DNSSEC as part of your DNS solution where keys are exchanged
  • Work with companies like Infobox to help address some of your issues
  • Implement ML as part of your cybersecurity strategy at the DNS and network layers

In addition, we need the DNS providers to come up with an IPv6 token based ML solution where the system puts the errant site in a black-list. this would help address 90% of the issues because the sites could be easily identified at all levels of the network because the token or SHA256 hash could be used to create an index (ex of hash - SHA256 F2A3E9E8B019D93818202BDF3AD362F4BAEC7C64589BC635B92E3A8DFD9AD391). This could be the index for Internet sites around the globe and the process can be associated with bad actors who are sending traffic using the 9 primary DNS sites, they could create a blacklist where the actors are stopped before submitting anything to the public.

T


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...