About Brent Huston

I am the CEO of MicroSolved, Inc. and a security evangelist. I have spent the last 20+ years working to make the Internet safer for everyone on a global scale. I believe the Internet has the capability to contribute to the next great leap for mankind, and I want to help make that happen!

State Of Security Podcast Episode 10

Episode 10 is now available! 

This time around, we get to learn from the community, as I ask people to call in with their single biggest infosec lesson from 2015. Deeply personal, amazingly insightful and full of kindness to be shared with the rest of the world – thanks to everyone who participated! 

Comparing 2 Models for DMZ Implementations

I recently had a discussion with another technician about the security of the two most popular DMZ implementation models. That is: 
  • The “3 Legged Model” or “single firewall” – where the DMZ segment(s) are connected via a dedicated interface (or interfaces) and a single firewall implements traffic control rules between all of the network segments (the firewall could be a traditional firewall simply enforcing interface to interface rules or a “next generation” firewall implementing virtualized “zones” or other logical object groupings)
  • The “Layered Model” or “dual firewall”- where the DMZ segment(s) are connected between two sets of firewalls, like a sandwich
 
Both approaches are clearly illustrated above, and explained in detail in the linked wikipedia article, so I won’t repeat that here. 
 
I fully believe that the “3 Legged Model” is a lower risk implementation than the layered model. This outright contradicts what the wikipedia article above states: 
 
     “The most secure approach, according to Stuart Jacobs, [1]is to use two firewalls to create a DMZ.” — wikipedia article above.
 
While the Layered model looks compelling at first blush, and seems to apply the concept of “more firewalls would need to be compromised to lead to internal network access”; I believe that, in fact, it reduces the overall security posture in the real world, and increases risk. Here’s why I feel that way. Two real-world issues that often make things that look great at first blush or that “just work” in the lab environment, have significant disadvantages in the real world are control complexity and entropy. Before we dig too deeply into those issues though, let’s talk about how the two models are similar. (Note that we are assuming that the firewalls themselves are equally hardened and monitored – IE, they have adequate and equal security postures both as an independent system and as a control set, in aggregate.)
 
Reviewing the Similarities
 
In both of the models, traffic from the DMZ segment(s) pass through the firewall(s) and traffic controls are applied. Both result in filtered access to the internal trusted network via an often complex set of rules. Since in both cases, traffic is appropriately filtered, authorization, logging and alerting can adequately occur in both models. 
 
Establishing Differences
 
Now the differences. In the 3 Legged model, the controls are contained in one place (assuming a high availability/failover pair counts as a single set of  synced controls), enforced in one place, managed and monitored in one place. The rule set does not have cascading dependencies on other implementations of firewalls, and if the rule set is well designed and implemented, analysis at a holistic level is less complex.
 
In the Layered model, the controls are contained across two separate instances, each with different goals, roles and enforcement requirements. However, the controls and rule sets are interdependent. The traffic must be controlled through a holistic approach spread across the devices, and failures at either firewall to adequately control traffic or adequately design the rule sets could cause cascading unintended results. The complexity of managing these rules across devices, with different rule sets, capabilities, goals and roles is significantly larger than in a single control instance. Many studies have shown that increased control complexity results in larger amounts of human error, which in turn contributes to higher levels of risk. 
 
Control Complexity Matters
 
Misconfigurations, human errors and outright mistakes are involved in a significant number (~95%) of compromises. How impactful are human mistakes on outright breaches? Well according to the 2015 Verizon DBIR:
 
“As with years past, errors made by internal staff, especially system administrators who were the prime actors in over 60% of incidents, represent a significant volume of breaches and records ,even with our strict definition of what an “error” is.” —DBIR
 
Specifically, misconfiguration of devices were involved in the cause of breaches directly in 3.6% of the breaches studied in the DBIR. That percentage may seem small, but the data set of 79,790 incidents resulting in 2,122 breaches that means a staggering number of 76 breaches of data were the result of misconfigurations.
 
This is exactly why control complexity matters. Since control complexity correlates with misconfiguration and human error directly, when complexity rises, so does risk – conversely, when controls are simplified, complexity falls and risk of misconfiguration and human error is reduced.
 
Not to beat on the wikipedia article and Stuart Jacob’s assertions, but further compounding the complexity of his suggestion is multiple types of firewalls, managed by multiple vendors. Talk about adding complexity, take an interdependent set of rules and spread them across devices, with differing roles and goals and you get complexity. Now make each part of the set a different device type with it’s own features, nuances, rule language, configuration mechanism and managed service vendor, and try to manage both of those vendors in sync to create a holistic implementation of a control function. What you have is a NIGHTMARE of complexity. At an enterprise scale, this implementation approach would scale in complexity, resources required and oversight needs logarthmically as new devices and alternate connections are added. 
 
So, which is less complex, a single implementation, on a single platform, with a unified rule set, managed, monitored and enforced in a single location – OR – a control implemented across multiple devices, with multiple rule sets that require monitoring, management and enforcement in interdependent deployments? I think the choice is obvious and rational.
 
Now Add Entropy
 
Ahh, entropy, our inevitable combatant and the age old foe of order. What can you say about the tendency for all things to break down? You know what I am about to point out though, right? Things that are complex, tend to break down more quickly. This applies to complex organisms, complex structures, complex machinery and complex processes. It also applies to complex controls.
 
In the case of our firewall implementation, both of our models will suffer entropy. Mistakes will be made. Firewall rules will be implemented that allow wider access than is needed. Over time, all controls lose efficiency and effectiveness. Many times this is referred to as “control drift” or “configuration drift”. In our case, the control drift over a single unified rule set would have a score of 1. Changes to the rule set, apply directly to behavior and effectiveness. However, in the case of the Layered model, the firewalls each have a distinct rule set, which will degrade – BUT – they are interdependent on each other – giving an effective score of 2 for each firewall. Thus, you can easily see, that as each firewall’s rule set degrades, the private network’s “view” of the risk increases significantly and at a more rapid pace. Simply put, entropy in the more complex implementation of multiple firewalls will occur faster, and is likely to result in more impact to risk. Again, add the additional complexity of different types of firewalls and distinct vendors for each, and the entropy will simply eat you alive…
 
Let’s Close with Threat Scenarios

Let’s discuss one last point – the actual threat scenarios involved in attacking the private network from the DMZ. In most cases, compromise of a DMZ host will give an attacker a foothold into the environment. From there, they will need to pivot to find a way to compromise internal network resources and establish a presence on the internal network. (Note that I am only focusing on this threat scenario, not the more common phishing/watering hole scenarios that don’t often involve the compromise of a DMZ host, except perhaps for exfiltration paths. But, this is outside our current scope.) If they get lucky, and the DMZ is poorly designed, they may find that their initially compromised host has some form of access to the internal network that they can exploit. But, in most cases, the attacker needs to perform lateral movement to compromise additional hosts, searching for a victim that has the capability to provide a launching point for attacks against the internal network.
 
In these cases, detection is the goal of the security team. Each attacker move and probe, should cause “friction” against the controls, thereby raising the alert and log levels and the amount of unusual activity. Ultimately, this should lead to the detection of the attacker presence and the incident response process engagement.
 
However, let’s say that you are the attacker, trying to find a host that can talk to the internal network from the DMZ in a manner that you can exploit. How likely are you to launch an attack against the firewalls themselves? After all, these are devices that are designed for security and detection. Most attackers, ignore the firewalls as a target, and continue to attempt to evade their detection capabilities. As such, in terms of the threat scenario, additional discreet firewall devices, offer little to no advantage – and the idea that the attacker would need to compromise more devices to gain access loses credibility. They aren’t usually looking to pop the firewall itself. They are looking for a pivot host that they can leverage for access through whatever firewalls are present to exploit internal systems. Thus, in this case, both deployment models are rationally equal in their control integrity and “strength” (for lack of a better term).
 
Wrapping This Up
 
So, we have established that the Layered model is more complex than the 3 Legged model, and that it suffers from higher entropy. We also established that in terms of control integrity against the most common threat scenario, the implementation models are equal. Thus, to implement the Layered model over the 3 Legged model, is to increase risk, both initially, and at a more rapid pace over time for NO increase in capability or control “strength”. This supports my assertion that the 3 Legged model is, in fact, less risky than the Layered model of implementation.
 
As always, feel free to let me know your thoughts on social media. I can be found on Twitter at @lbhuston. Thanks for reading! 

Interesting Talk on Post Quantum Computing Impacts on Crypto

If you want to really get some great understanding of how the future of crypto is impacted by quantum computing, there is a fantastic talk embedded in this link
 
The talk really turns the high level math and theory of most of these discussions into knowledge you can parse and use. Take an hour and listen to it. I think you will find it most rewarding.
 
If you want to talk about your thoughts on the matter, hit us up on Twitter. (@microsolved)

3 Ways Clients are Benefiting from Our TigerTrax Platform Today

OK, so by now most folks know that we spent the last few years building out our own analytics platform, called TigerTrax™. Some folks know that we have been using it as a way to add impressive value to our traditional security offerings for the last couple of years. If you are a traditional assessment client, for example, you are likely seeing more threat data that is pinpoint accurate in your reports or you have been the beneficiary of some of the benefits of our passive technologies based on the platform, perhaps. If your organization hasn’t been briefed yet on our new capabilities and offerings, please let us know and we will book a time to sit down and walk you through what we believe is a game changing new approach to information security!

But, back to the message at hand. TigerTrax is already benefitting our clients in three very specific ways, and I wanted to take a moment to discuss them.

  • First, as I alluded to above, many clients are now leveraging our Targeted Threat Intelligence (TTI) offerings in a variety of ways. TTI engagements come in two flavors, Comprehensive and Baseline. You can think of this as a passive security assessment that identifies threats against your organization based on a variety of meta data analysis, tracks your brand presence across the online world and identifies where it might be present in a vulnerable state, correlates known and unknown attack campaigns against your online presence, and has been hugely successful in finding significant risks against networks/applications and intellectual property. The capability extends to findings across the spectrum of risks, threats and vulnerabilities – yet does the work without sending a single packet to the target network environments! That makes this offering hugely popular and successful in assisting organizations with supply chain, vendor management security validation and M&A research. In fact, some clients are actively using this technique across vendors on a global scale.
  • Second, TigerTrax has enabled MSI to offer security-focused monitoring of key employees and their online behaviors. From professional sports to futures/stock traders and even banking customer support teams – TigerTrax has been adapted to provide code of conduct monitoring, social media forensics and even customized mitigation training in near-real-time for the humans behind the keyboard. With so much attention to what your organization and your employees do online, how their stories spread and the customer interactions they power – this service has been an amazing benefit to customers. In some cases, our social media forensics have made the difference in reputational attacks and even helped defend a client against false legal allegations!
  • Thirdly, TigerTrax has powered the development of MachineTruth™, a powerful new approach to network mapping and asset discovery. By leaning on the power of analytics and machine learning, this offering has been able to organize thousands of machine configurations and millions of lines of log files and a variety of other data source to re-create a visual map of the environment, an inventory of the hosts on the network, an analysis of the relationships between hosts/network segments/devices and perform security baselining “en masse”. All offline. All without deploying any hardware or software on the network. It’s simply amazing for organizations with complex networks (we’ve done all sizes – from single data centers to continent-level networks), helps new CIOs or network managers understand their environment, closes the gap between “common wisdom” of what your engineers think the network is doing and the “machine truth” of what the devices are actually doing, aids risk assessment or acquisition teams in their work and can empower network segmentation efforts like no other offering we have seen.

Those are the 3 key ways that TigerTrax customers are benefiting today. Many many more are on the roadmap, and throughout 2016 we will be bringing new offerings and capability enhancements to our clients – based on the powerful analytics TigerTrax provides. Keep an eye on the blog and our website (which will be updated shortly) for news and information. Better yet, give us a call or touch base via email and schedule a time to sit down and discuss how these new capabilities can best assist you. We look forward to talking with you! 

— info (at) microsolved /dot/ com will get you to an account rep ASAP! Thanks for reading.

Got MS DNS Servers? Get the Patch ASAP!

If you run DNS on Microsoft Windows, pay careful attention to the MS-15-127 patch.

Microsoft rates this patch as critical for most Windows platforms running DNS services.

Remote exploits are possible, including remote code execution. Attackers exploiting this issue could obtain Local System context and privileges.

We are currently aware that reverse engineering of the patch has begun by researchers and exploit development is under way in the underground pertaining to this issue. A working exploit is likely to be made available soon, if it is not already in play, as you read this. 

Old School Google Hacking Still Works…

Did some old school Google hacking last night.

“Filetype:xls & terms” still finds too much bad stuff.

Check for it lately for your organization?

Try other file types too. (doc/ppt/pdf/rtf, etc.)

Information leakage happens today, as it always has. Keeping an eye on it should be a part of your security program.

Ashley Madison Blackmail Campaigns Prowling Again

If you were involved in the Ashley Madison service, or know someone who was, it might be time to discuss the continuing issues of ongoing blackmail campaigns stemming from the breach. This article appeared this week in SC Magazine, reporting on just such a campaign, that has been potentially identified.

Please be aware that this is happening, and can represent a significant threat, especially for organizations associated with critical infrastructure, IP protection and/or government agencies. 

If you, or someone you know, is being harassed or targeted by black mailers, here are some resources:

General council advice.

Contacting the FBI.

WikiHow Advice from the public.

Stay safe out there!

Podcast Episode 9 Available

Check out Episode 9 of the State of Security Podcast, just released!

This episode runs around an hour and features a very personal interview with me in the hot seat and the mic under control of @AdamJLuck. We cover topics like security history, my career, what I think is on the horizon, what my greatest successes and failures have been. He even digs into what I do every day to keep going. Let me know what you think, and as always, thanks for listening!

Next CMHSecLunch is Monday, November 9th

Just a heads up that the next CMHSecLunch is scheduled for Monday, November 9th at Tuttle Mall food court.

As always, the games begin at 11:30am and continue to around 1pm. Admission is FREE and everyone is welcome. Bring a friend!

Come by, hang out, have some food and great conversation. Talk about the threats and issues your team is facing and hear what others in the community have to say on the topic. It’s like hallway conversations at security conferences, without the travel, con-flu and noise.

Check it out and see you there! 

HoneyPoint Security Server Allows Easy, Scalable Deception & Detection

Want to easily build out a scalable, customizable, easily managed, distributed honey pot sensor array? You can do it in less than a couple of hours with our HoneyPoint Security Server platform.

This enterprise ready, mature & dependable solution has been in use around the world since 2006. For more than a decade, customers have been leveraging it to deceive, detect and respond to attackers in and around their networks. With “fake” implementations at the system, application, user and document levels, it is one the most capable tool sets on the market. Running across multiple operating systems (Linux/Windows/OS X), and scattered throughout network and cloud environments, it provides incredible visibility not available anywhere else.

The centralized Console is designed for safe, effective, efficient and easy management of the data provided by the sensors. The Console also features simple integration with ticketing systems, SEIM and other data analytics/management tools.

If you’d like to take it for a spin in our cloud environment, or check out our localized, basic Personal Edition, give us a call, or drop us a line via info (at) microsolved (dot) com. Thanks for reading!