Securosis

Research

Advanced Endpoint and Server Protection: Quick Wins

We have covered the main aspects of the threat management cycle, in terms of the endpoint and server contexts, in our last few posts. Now let’s apply these concepts to a scenario to see how it plays out. In this scenario you work for a high-tech company which provides classified technology to a number of governments, and has a lot of valuable intellectual property. You know you are targeted by state-sponsored adversaries for the classified information and intellectual property on your networks. So you have plenty of senior management support and significant resources to invest in dealing with advanced threats. You bought into reimagined threat management, and have deployed a combination of controls on your endpoints and servers. These include advanced heuristics on valuable endpoints, application control on servers with access to key intellectual property stores, and broad deployment of device activity monitoring technology – all because you know it is a matter of when rather than if you will be compromised. You supplement endpoint and server protections with network-based malware detection and full packet capture. So resources are not an issue and you have controls in place to deal with advanced adversaries. Of course that and $4 will get you a coffee, so you need to build these controls into a strong process to ensure you can react faster and better to the attacks you know are coming. But not every organization can make such extensive investments, so you may not have the full complement of controls at your disposal. The Attack: Take 1 This attack starts as many do, with an adversary sending a phishing email with a malicious MS Office attachment to an employee in the finance department. The employee’s device has an agent that uses advanced heuristics, which identifies the malicious behavior when the file attempts to turn off the traditional AV product and install what looks like a dropper on the device. The agent runs at the kernel level so it manages to block the attack and administrators alerted, and no harm is done… this time. These are the kinds of quick wins you are looking for, and even with proper security awareness training, employees are still very likely to be duped by advanced attackers. So additional layers of defense, beyond the traditional endpoint protection suite, are critical. The Attack: Take 2 The advanced adversary is not going to give up after their blocked initial foray. This time they target the administrative assistant of the CEO. They pull out a big gun, and use a true 0-day to exploit an unknown flaw in the operating system to compromise the device. They deliver the exploit via another phishing email and get the admin to click on the link to a dedicated server never used for anything else. A drive-by download exploits the OS using the 0-day, and from there they escalate privileges on the admin’s device, steal credentials (including the CEO’s logins) and begin reconnaissance within the organization to find the data they were tasked to steal. As the adversary is moving laterally throughout the organization they compromise additional devices and get closer to their goal, a CAD system with schematics and reports on classified technology. As mentioned above, your organization deployed network-based malware detection to look for callbacks, and since a number of devices have used similar patterns of DNS searches (which seem to be driven by a domain-generating algorithm), alarms go off regarding a possible compromise. While you are undertaking the initial validation and triage of this potential attack, the adversaries have found the CAD system and are attempting to penetrate the server and steal the data. But the server has application controls, and will not run any unauthorized executables. So the attack is blocked and the security team is alerted to a bunch of unauthorized activity on that server. This is another quick win – attackers found their target but can’t get the data they want directly. Between the endpoint compromise calling back to the botnet, and attempts on the server, you have definitive proof of an adversary in your midst. At this point the incident response process kicks in. Respond and Contain As we described in our incident response fundamentals series, you start the response process after confirming the attack by escalating the incident based on what’s at risk and the likelihood of data loss. Then you size up the incident by determining the scope of the attack, the attacker’s tactics, and who the attacker is, to get a feel for intent. With that information you can decide what kind of response you need to undertake, and its urgency. Your next step is to contain the attack and make sure you have the potential damage under control. This can take a variety of forms, but normally it involves quarantining the affected device (endpoint or server) and starting the forensics investigation. But in this scenario – working with senior management, general counsel, and external forensic investigators – the decision has been made to leave the compromised devices on the network. You might do this for a couple reasons: You don’t want to tip off the adversary that you know they are there. If they know they have been detected they may burrow in deeper, hiding in nooks and crannies and making it much harder to really get rid of them. Given an advanced attacker is targeting your environment, you can gather a bunch of intelligence about their tactics and techniques by watching them in action. Obviously you start by making sure the affected devices can’t get to sensitive information, but this gives you an opportunity to get to know the adversary. A key part of this watching and waiting approach is continuing to collect detailed telemetry from the devices, and starting to capture full network traffic to and from affected devices. This provides a full picture of exactly what the adversary is doing (if anything) on the devices. Investigate The good news is that the investigation team has access to extensive telemetry from device activity monitoring and network packet capture. Analyzing the first compromised

Share:
Read Post
dinosaur-sidebar

Totally Transparent Research is the embodiment of how we work at Securosis. It’s our core operating philosophy, our research policy, and a specific process. We initially developed it to help maintain objectivity while producing licensed research, but its benefits extend to all aspects of our business.

Going beyond Open Source Research, and a far cry from the traditional syndicated research model, we think it’s the best way to produce independent, objective, quality research.

Here’s how it works:

  • Content is developed ‘live’ on the blog. Primary research is generally released in pieces, as a series of posts, so we can digest and integrate feedback, making the end results much stronger than traditional “ivory tower” research.
  • Comments are enabled for posts. All comments are kept except for spam, personal insults of a clearly inflammatory nature, and completely off-topic content that distracts from the discussion. We welcome comments critical of the work, even if somewhat insulting to the authors. Really.
  • Anyone can comment, and no registration is required. Vendors or consultants with a relevant product or offering must properly identify themselves. While their comments won’t be deleted, the writer/moderator will “call out”, identify, and possibly ridicule vendors who fail to do so.
  • Vendors considering licensing the content are welcome to provide feedback, but it must be posted in the comments - just like everyone else. There is no back channel influence on the research findings or posts.
    Analysts must reply to comments and defend the research position, or agree to modify the content.
  • At the end of the post series, the analyst compiles the posts into a paper, presentation, or other delivery vehicle. Public comments/input factors into the research, where appropriate.
  • If the research is distributed as a paper, significant commenters/contributors are acknowledged in the opening of the report. If they did not post their real names, handles used for comments are listed. Commenters do not retain any rights to the report, but their contributions will be recognized.
  • All primary research will be released under a Creative Commons license. The current license is Non-Commercial, Attribution. The analyst, at their discretion, may add a Derivative Works or Share Alike condition.
  • Securosis primary research does not discuss specific vendors or specific products/offerings, unless used to provide context, contrast or to make a point (which is very very rare).
    Although quotes from published primary research (and published primary research only) may be used in press releases, said quotes may never mention a specific vendor, even if the vendor is mentioned in the source report. Securosis must approve any quote to appear in any vendor marketing collateral.
  • Final primary research will be posted on the blog with open comments.
  • Research will be updated periodically to reflect market realities, based on the discretion of the primary analyst. Updated research will be dated and given a version number.
    For research that cannot be developed using this model, such as complex principles or models that are unsuited for a series of blog posts, the content will be chunked up and posted at or before release of the paper to solicit public feedback, and provide an open venue for comments and criticisms.
  • In rare cases Securosis may write papers outside of the primary research agenda, but only if the end result can be non-biased and valuable to the user community to supplement industry-wide efforts or advances. A “Radically Transparent Research” process will be followed in developing these papers, where absolutely all materials are public at all stages of development, including communications (email, call notes).
    Only the free primary research released on our site can be licensed. We will not accept licensing fees on research we charge users to access.
  • All licensed research will be clearly labeled with the licensees. No licensed research will be released without indicating the sources of licensing fees. Again, there will be no back channel influence. We’re open and transparent about our revenue sources.

In essence, we develop all of our research out in the open, and not only seek public comments, but keep those comments indefinitely as a record of the research creation process. If you believe we are biased or not doing our homework, you can call us out on it and it will be there in the record. Our philosophy involves cracking open the research process, and using our readers to eliminate bias and enhance the quality of the work.

On the back end, here’s how we handle this approach with licensees:

  • Licensees may propose paper topics. The topic may be accepted if it is consistent with the Securosis research agenda and goals, but only if it can be covered without bias and will be valuable to the end user community.
  • Analysts produce research according to their own research agendas, and may offer licensing under the same objectivity requirements.
  • The potential licensee will be provided an outline of our research positions and the potential research product so they can determine if it is likely to meet their objectives.
  • Once the licensee agrees, development of the primary research content begins, following the Totally Transparent Research process as outlined above. At this point, there is no money exchanged.
  • Upon completion of the paper, the licensee will receive a release candidate to determine whether the final result still meets their needs.
  • If the content does not meet their needs, the licensee is not required to pay, and the research will be released without licensing or with alternate licensees.
  • Licensees may host and reuse the content for the length of the license (typically one year). This includes placing the content behind a registration process, posting on white paper networks, or translation into other languages. The research will always be hosted at Securosis for free without registration.

Here is the language we currently place in our research project agreements:

Content will be created independently of LICENSEE with no obligations for payment. Once content is complete, LICENSEE will have a 3 day review period to determine if the content meets corporate objectives. If the content is unsuitable, LICENSEE will not be obligated for any payment and Securosis is free to distribute the whitepaper without branding or with alternate licensees, and will not complete any associated webcasts for the declining LICENSEE. Content licensing, webcasts and payment are contingent on the content being acceptable to LICENSEE. This maintains objectivity while limiting the risk to LICENSEE. Securosis maintains all rights to the content and to include Securosis branding in addition to any licensee branding.

Even this process itself is open to criticism. If you have questions or comments, you can email us or comment on the blog.