Category Archives: Detection in Depth

What is this HoneyPoint Thing Anyway?

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Launched in 2006, initially as a distributed honey pot product, HoneyPoint Security Server (HPSS) has grown well beyond the initial concept. Today HPSS is a platform of components woven into a tightly integrated, fully capable, extremely flexible threat detection product. Organizations around the world are using it as a means of early detection of internal and external attackers, malware outbreaks and signs of users poking around where they shouldn’t be. Mature organizations have leveraged the product as a means of deterring attacks through automated black holing of scanning hosts on their perimeter, embedded detective controls inside their web applications to cut off users violating their terms of service and gather real world threat metrics to feed back into their mature risk management initiatives.

 

In the world of ICS/SCADA, HoneyPoint has found a quickly growing set of fans. HPSS can be deployed in a completely passive way that has no chance of interfering with critical operations, yet still brings incredible detection capability and vision into even the most sensitive of networks. ICS/SCADA environments have traditionally embraced the honeypot ideal, coining the term “canary” for these tools, but never before have they had such an easy to use, distributable, centrally monitored honeypot capability like HoneyPoint brings to the table.

 

Over the next few months, we will be deep diving into each of the HPSS components, but for now, as a high-level overview, here is a quick and dirty explanation of each of them:

 

  • HPSS Console – This is the central “brain” of the product. Designed as an easy to use GUI application, it receives the alerts detected by the sensor components and presents them to the user for analysis. It includes the “plugin” capability which allows for additional reporting and security automation based on the event data detected. The Console provides for “point and click” easy integration with SEIM products for clients who have deeper back-end data aggregation systems in place.
  • HoneyPoint Agent – This is the original HoneyPoint detection capability. Agent creates “fake services” on the network that have no real use other than detection. Since the services aren’t real, any interaction with them is “suspicious at best and malicious at worst”. Agent is capable of emulating a great variety of services and is completely user configurable. Agent runs on Windows, Linux and OS X. 
  • Wasp – Wasp is HoneyPoint’s hybrid client for Windows systems. It offers many of the port dilation features of Agent, but layers on top of that a whitelisting detection mechanism, file change detection for key files and some simple heuristics to identify the most common signs of intrusion. Tiny footprint, immense flexibility, self tuning whitelisting and no interference with operations make it an excellent choice for critical infrastructure use.
  • HoneyPoint Web – This is a completely emulated web environment with a mock up of applications that the organization uses. The entire environment is “fake” and studded with detection mechanisms that capture and measure attacker behavior, intent and capability. It might seem to be a new version of a banking application “accidentally” exposed to the Internet, or a replica of an HMI or maybe a login portal for Sharepoint/VPN or some other mechanism. What it really is is a detection mechanism for the good guys. Completely customized, able to detect the difference between a human attacker and most malware, it offers organizations a deeper, sneakier way to detect illicit behavior and measure the attacker attention various attack surfaces receive.
  • HoneyElements – Embeddable HTML and Javascript objects that can be added to new or existing real web applications, these HoneyPoints extend detection into the layers of the application itself. Integrates well with automated response and attacker black holing defenses to stop attackers and those engaging in undesired behaviors in real time.
  • HoneyBees – These work with Agent to simulate users authenticating to emulated services with plain text credentials. Organizations use this combination of tools to detect sniffing attacks and other attempts to harvest credentials off the wire or from network monitoring systems. 
  • HoneyPoint Trojans – Trojans are “fake” documents, applications or archives that appear to be real, but are actually detection mechanisms. For example, they might appear to be a PDF of some acquisition plans, while in reality they are armed with code to alert the security team when they have been opened or tampered with. Trojans use many of the same tactics as attackers, but instead of infection as a goal, they provide for detection and alerting.
  • HoneyPoint Handler – The Handler is a mechanism for getting external events into the HoneyPoint data ecosystem. Organizations often use the handler to receive events generated by custom nuance detection scripts. For example, a script might routinely check for new files in a directory or new files that contain the call base64decode(). When the script identifies a new file, the script can send an alert to the Handler, which will create a standard HoneyPoint alert from the script’s data and send it to the Console for easy and standardized security event management.
  • HoneyPoint Decoy Appliances – This is a set of hardened Linux powered devices that serve as an appliance for other components, usually Agent and Web. The appliances are available in three physical form factors (a rack mountable server, a mini-desktop, and a field deployable power substation solid state system) and/or a set of virtual appliances for most common virtualization platforms.
  • HoneyPoint Proxy – Lastly, this component is designed to act as an alerting data aggregator to simplify firewall ACLs that might be deployed between DMZ segments, enclaves or other network segments. The proxy can receive events from HoneyPoints and send them on to the Console without the need to expose the Console to each individual HoneyPoint. This makes managing global and highly distributed deployments significantly easier.

 

To learn more about these components and how they can be leveraged to give your organization new, flexible and deep detection capabilities, give us a call. Our engineers would be glad to discuss the technical capabilities and an account executive would be happy to work with you to create a HoneyPoint deployment that meets your needs AND your budget. At MicroSolved, we are passionate about information security and HoneyPoint Security Server is just another that way it shows!

HoneyPoint HoneyBees Help Catch Sniffers

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HoneyPoint has a component called a HoneyBee that can help organizations detect sniffing on their networks. The tool works like this:

  • HoneyBees are configured to talk to HoneyPoint Agents with a set of known credentials for an Agent emulated service
  • HoneyPoint Agent knows where the HoneyBees will be connecting from and those hosts are added to the local ignore list for that Agent
  • HoneyBees randomly create emulated “conversations” with HoneyPoint Agent in plain text, transmitting their credentials across the network for sniffers to pick up
  • The attacker or sniffing malware grabs the credentials through their sniffed traffic
  • The attacker or malware attempts to use those same credentials to authenticate to the HoneyPoint Agent
  • HoneyPoint Agent flags the authentication attempt as tampered traffic and alerts the security team to take action

By properly configuring the setup, this approach makes for a very effective tool to catch sniffing malware and attackers. Backing the credentials up with other detection mechanisms, such as in web applications and on AD forests can extend the approach even further. Our team has helped organizations stand up these kinds of nuance detection schemes across a variety of platforms. 

Even though the approach seems quite simple, it has proven to be quite adept at catching a variety of attacks. Customers continue to tell us that HoneyBees working with HoneyPoint Agent have been key indicators of compromise that have led them to otherwise undetected compromises.

HoneyBees are just another example of some of the ways that people are using the incredible flexibility of HoneyPoint to do nuance detection more easily than ever before. Gaining vision where they never had it has paid off, and HoneyPoints ability to turn vision into intelligence has proven itself over and over again.

To discuss HoneyPoint, HoneyBees or other forms of nuance detection, get in touch with MicroSolved. We would be happy to discuss how we can help your organization get more vision all around your enterprise.

Audio Blog Post: Moving Toward Detection in Depth

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Brent Huston, CEO and Security Evangelist for MicroSolved, Inc., explains how organizations need to move from a focus on prevention to detection.

Joined by MSI’s Account Executive Chris Lay and Marketing Communication Specialist Mary Rose Maguire, Brent maps out how an organization can get detective controls closer to the data and shows that IT departments can have a “payoff” if they pursue nuanced detection.

Click here to listen to the audio post!

Are You Attending the 2012 Central Ohio InfoSec Summit?

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We’re excited to be a part of this year’s 5th Annual 2012 Central Ohio InfoSec Summit! Each year it keeps getting better and better, and this year is no different.

MicroSolved’s CEO and founder, Brent Huston will be presenting “Detection in Depth: Changing the PDR Focus.” Phil Grimes will also present “Attacking Mobile Devices” in the Advanced Technical Track.

There are other great speakers lined up. Included are:

  • Bill Hagestad, author of 21st Century Chinese Cyber Warfare
  • Jay Jacobs, a Principal with Verizon’s RISK Intelligence team, will focus on cyber crime
  • Curtis Levinson, who has served two sitting Presidents of the United States, two Chairman of the Joint Chiefs of Staff and the Chief Justice of the United States, who will be presenting on a balanced approach for survivability and sustainability in the cyber realm

There are more great speakers, plus over thirty vendors who help businesses stay secure. We hope to see you at the event! It promises to be a great time re-connecting with old friends, making new connections, and learning new approaches toward a proactive information security strategy.

See you there!

Discuss Detection in Depth at CMH ISSA Summit

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On May 18th, I will be presenting on detection in depth at the CMH ISSA Summit. I look forward to a good discussion of the ideals, organizational needs, and maturity models. Given all of the focus on re-allocating resources from “prevention only” strategies to an equal spread across the core values of prevention, detection and response, this is likely to be a useful discussion to many organizations.

Come ready with good questions. I will also be available throughout the Summit for break-out discussions, one-on-ones, and small team meetings. Please reach out via email, phone or Twitter to schedule a sit down. Otherwise, feel free to approach me in the halls and we can have an ad-hoc discussion if you want to learn more about specific detection in depth approaches.
 
I speak on Friday, May 18th at 11:15 am. I hope to see you there!

Information Security Is More Than Prevention

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One of the biggest signs that an organization’s information security program is immature is when they have an obsessive focus on prevention and they equate it specifically with security.

The big signs of this issue are knee-jerk reactions to vulnerabilities, a never-ending set of emergency patching situations and continual fire-fighting mode of reactions to “incidents”. The security team (or usually the IT team) is overworked, under-communicates, is highly stressed, and lacks both resources and tools to adequately mature the process. Rarely does the security folks actually LIKE this environment, since it feeds their inner super hero complex.

However, time and time again, organizations that balance prevention efforts with rational detection and practiced, effective response programs perform better against today’s threats. Evidence from vendor reports like Verizon DBIR/Ponemon, law enforcement data, DHS studies, etc. have all supported that balanced program work much better. The current state of the threat easily demonstrates that you can’t prevent everything. Accidents and incidents do happen. 
 
When bad things do come knocking, no matter how much you have patched and scanned, it’s the preparation you have done that matters. It’s whether or not you have additional controls like enclaving in place. Do you have visibility at various layers for detection in depth? Does your team know how to investigate, isolate and mitigate the threats? Will they do so in a timely manner that reduces the impact of the attacker or will they panic, knee-jerk their way through the process, often stumbling and leaving behind footholds of the attacker?
 
How you perform in the future is largely up to you and your team. Raise your vision, embrace a balanced approach to security and step back from fighting fires. It’s a much nicer view from here. 

The Detection in Depth Focus Model & Example

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Furthering the discussion on how detection in depth works, here is an example that folks have been asking me to demonstrate. This is a diagram that shows an asset, in this case PII in a database that is accessed via a PHP web application. The diagram shows the various controls around detection in place to protect the data at the various focus levels for detection. As explained in the maturity model post before, the closer the detection control is to the asset, the higher the signal to noise ratio it should be and the higher the relevance o the data should be to the asset being protected (Huston’s Postulate). 

Hopefully, this diagram helps folks see a working example of how detection in depth can be done and why it is not only important, but increasingly needed if we are going to turn the tide on cyber-crime.
 
As always, thanks for reading and feel free to engage with ideas in comments or seek me out on Twitter (@lbhuston) and let me know what you think. 

Detection in Depth Maturity Model

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I have been discussing the idea of doing detection depth pretty heavily lately. One of the biggest questions I have been getting is about maturity of detection efforts and the effectiveness of various types of controls. Here is a quick diagram I have created to help discuss the various tools and where they fit into the framework of detection capability versus maturity/effectiveness.

The simple truth is this, the higher the signal to noise ratio a detection initiative has, the better the chance of catching the bad event. Detections layered together into various spots work better than single layer controls. In most cases, the closer you get to an asset, the more nuanced and focus (also higher signal to noise ratio) the detection mechanisms should become.
 
That is, for example – a tool like a script detecting new files with “base64decode()” in them on a web server is much higher signal than a generic IDS at the perimeter capturing packets and parsing them against heuristics.
 
When the close controls fire an alert, there better be a clear and present danger. When the distant controls alert, there is likely to be more and more noise as the controls gain distance from the asset. Technology, detection focus and configuration also matter A LOT. 
All of that said, detection only works if you can actually DO something with the data. Alarms that fire and nothing happens are pretty much useless tools. Response is what makes detection in depth a worthwhile, and necessary, investment.