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.

Attacks/Breaches

5/4/2020
09:00 AM
By Rami Mizrahi, VP Software Engineering - Deception, Fidelis Cybersecurity
By Rami Mizrahi, VP Software Engineering - Deception, Fidelis Cybersecurity
Sponsored Article
100%
0%

Deploying Deception in the Enterprise Network

The goal is to have a deception layer that blends into your current environment and adapts itself as the real network changes. Here's how.

The concept of honey pots and deception in IT security has been around for about two decades. The idea is to place a fake asset in your network and then wait for attackers to interact with it. No one is supposed to know about this fake asset, so any access to it is a high-fidelity alert. This is a great idea in theory, but like the saying goes, the devil is in the details. In practice, there are drawbacks that made honey pot deployment not worth the effort. The main challenges:

• Authenticity – how to make the honey pots believable and to look part of the real network
• Attractiveness – how to make them known and attractive to attackers, and
• Scalability – how to scale the deployment and not have it interfere with your regular network.

Organizations can overcome these challenges and deploy an attractive and authentic deception layer as part of its corporate network. SANS’ Implementing Deception Technologies guide provides an overview on how deception technologies can significantly improve an organization’s capabilities to swiftly and accurately detect attackers, while at the same time collect sufficient threat intelligence and attack attribution information to improve response effectiveness.
The goal is to have a deception layer that blends into your current environment and adapts itself as the real network changes. For that, you first need to understand and identify your current environment. Based on your existing assets and network traffic, you can build advanced terrain maps that include breakdown of the assets into subnets, operating systems, roles and services. Once you have this knowledge about your current environment, you can start to deploy the deception layer.

Step 1: Decoys
The decoys are fake assets that you create in the network. Based on your network profile, you deploy decoys that blend into your existing environment, such as workstation decoys on the user networks and server decoys on the server networks. For the relevant networks, you can also deploy IOT decoys for printers, routers, cameras, etc. To make each decoy authentic, it must mimic the real assets in the network. This includes the domain that it registers to, the services it publishes, the port it has open, the file system it reveals, the network traffic it exposes and the network fingerprint.

When deploying decoys, you will need to choose between different interaction levels of the decoys. A low interaction decoy is a very basic decoy that listens to traffic and does not interact with the attacker on the application level, basically a port listener. A high interaction decoy (a.k.a. a REALOs Decoy) can be a full real physical or virtual machine that acts as a decoy server with all its actions monitored. Each of the two interaction levels has both advantages and disadvantages. The middle ground is an emulation-based decoy that acts as a server that emulates the different services of the decoys. An emulated decoy can very easily control the ports that are open, the services running and the data the decoy holds. Our recommendation is to spread many emulated decoys around the network to mimic the different networks and add some RealOS Decoys in strategic points in the network. Based on the organization, you can deploy hundreds or thousands of decoys inside the network, each with a different operating system and role.

Step 2: Breadcrumbs
To make decoys look real and attractive, security teams deploy breadcrumbs, which are pieces of information placed on the real assets that lead the attacker to the decoys. When an attacker is inside your network, they will look for the safest next hop based on the information it has. The breadcrumbs show usage of the decoy services by holding information and credentials for those services. Some examples are recent documents, configuration files, and credentials. Like the decoys, the breadcrumbs should blend into the environment and should be relevant to the asset and the applications it has running on it. Presenting SSH keys on a computer that does not have an SSH client installed make the keys look suspicious and can give the attacker a red flag to not visit that SSH server.

Step 3: Network Deception
Another way to make the decoys attractive and authentic is to generate network deception. This includes different types of traffic that will lure the attacker towards the decoy. The decoys will publish themselves in different ways to make sure they appear in passive network scans that are run by an attacker. Decoys will also interact with the corporate servers, such as the DNS, DHCP or web server, to increase their authenticity. Network deception can catch attackers attempting to run man-in-the-middle attacks and intercept the traffic of victim assets. Advanced network deception can also include injecting the decoys into the ARP cache of the real assets. This can be done on the network level without interfering with regular user activity.

Step 4: Data Deception
One of the advantages of a flexible deception layer is the power to control the data in it. When deploying decoys, you can control the file system and the shared folders the decoys published. You can control the authentication methods to the decoys and the credentials required to access the different services. You can also control the content of different services, such as the web server. Controlling the web server content allows security teams to create decoys that look like the corporate web servers, or specific IOT devices.

Another interesting part of data deception is integration with the Active Directory server. During the recon phase, advance attackers will try to harvest the corporate AD server for any information on the environment. Creating a layer of deception on your Active Directory server can help prevent that by creating fake users who appears to have high privileges, then registering the decoys and its services to AD server as a valid machine with SPNs. To complete the process, the decoys will periodically report login activity by the fake users throughout the day in random times. This ensures the fake entries on the AD server are constantly updated and look real.

To summarize and gain the maximum advantage from deception, your deception layer should be part of your network and not stand out. Since each organization has a different environment, it is important to deploy deception elements that will properly identify your terrain and deploy the deception elements that are relevant to it. As your network changes, your deception layer should also adapt itself. Decoys and breadcrumbs should be constantly updated based on any changes to the real network. This includes updating the content of existing decoys, creating additional decoys in newly identified networks and removing decoys in networks that are no longer used. After such changes happen, it is also important to update the breadcrumbs and the network traffic accordingly.

Read the SANS implementing deception technologies guide to learn how to improve detection at every "layer," and gain insight into active attacks in your environment.

About the Author: Rami Mizrahi, VP Software Engineering – Deception, Fidelis Cybersecurity
Rami Mizrahi is the vice president of research and development for Deception at Fidelis Cybersecurity. He has been leading the Deception R&D team for over six year, since the inception of TopSpin Security and through the acquisition by Fidelis Cybersecurity. Prior to that, he led the WAF development team at Breach Security. Rami has over 20 years of experience in software development, specializing in enterprise security.

 

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
COVID-19: Latest Security News & Commentary
Dark Reading Staff 10/1/2020
9 Tips to Prepare for the Future of Cloud & Network Security
Kelly Sheridan, Staff Editor, Dark Reading,  9/28/2020
Attacker Dwell Time: Ransomware's Most Important Metric
Ricardo Villadiego, Founder and CEO of Lumu,  9/30/2020
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-2019-19393
PUBLISHED: 2020-10-01
The Web application on Rittal CMC PU III 7030.000 V3.00 V3.11.00_2 to V3.15.70_4 devices fails to sanitize user input on the system configurations page. This allows an attacker to backdoor the device with HTML and browser-interpreted content (such as JavaScript or other client-side scripts) as the c...
CVE-2020-16844
PUBLISHED: 2020-10-01
In Istio 1.5.0 though 1.5.8 and Istio 1.6.0 through 1.6.7, when users specify an AuthorizationPolicy resource with DENY actions using wildcard suffixes (e.g. *-some-suffix) for source principals or namespace fields, callers will never be denied access, bypassing the intended policy.
CVE-2020-24620
PUBLISHED: 2020-10-01
Unisys Stealth(core) before 4.0.132 stores Passwords in a Recoverable Format.
CVE-2020-25017
PUBLISHED: 2020-10-01
Envoy through 1.15.0 only considers the first value when multiple header values are present for some HTTP headers. Envoy’s setCopy() header map API does not replace all existing occurences of a non-inline header.
CVE-2020-25018
PUBLISHED: 2020-10-01
Envoy master between 2d69e30 and 3b5acb2 may fail to parse request URL that requires host canonicalization.