Securosis

Research

Assembling a Container Security Program [New Series]

The explosive growth of containers is not surprising – technologies such as Docker address several problems facing developers when they deploy applications. Developers need simple packaging, rapid deployment, reduced environmental dependancies, support for micro-services, and horizontal scalability – all of which containers provide, making them very compelling. Yet this generic model of packaged services, where the environment is designed to treat each container as a “unit of service” sharply reduces transparency and auditability (by design) and gives security pros nightmares. We run more code and run it faster, begging the question, “How can you introduce security without losing the benefits of containers?” IT and Security teams lack visibility into containers, and have trouble validating them – both before placing them into production, and once they are running in production. Their peers on the development team are often disinterested in security, and cannot be bothered with providing reports and metrics. This is essentially the same problem we have for application security in general: the people responsible for the code are not incentivized to make security their problem, and the people who want to know what’s going on lack visibility. In this research we will delve into container technology, its unique value proposition, and how it fits into the application development and management processes. We will offer advice on how to build security into the container build process, how to validate and manage container inventories, and how to protect the container run-time environment. We will discuss applicability, both for pre-deployment testing and run-time security. Our hypothesis is that containers are scaring the hell out of security pros because of their lack of transparency. The burden of securing containers falls across development, operations, and security teams; but not of these audiences are sure how to tackle the problem. This research is intended to aid security practitioners and IT operations teams in selecting tools and approaches for container security. We are not diving into how to secure apps in containers here – instead we are limiting ouselves to build, container management, deployment, and runtime security for the container environment. We will focus on Docker security as the dominant container model today, but will comment on other options as appropriate – particularly Google and Amazon services. We will not go into detail on the Docker platform’s native security offerings, but will mention them as part of an overall strategy. Our working title is “Assembling a Container Security Program”, but that is open for review. Our outline for this series is: Threats and Concerns: We will outline why container security is difficult, with a dive into the concerns of malicious containers, trust between containers and the runtime environment, container mismanagement, and hacking the build environment. We will discuss the areas of responsibility for Security, Development, and Operations. Securing the Build: This post will cover the security of the build environment, where code is assembled and containers are constructed. We will consider vetting the contents of the container, as well as how to validate supporting code libraries. We will also discuss credential management for build servers to help protect against container tampering, code insertion and misuse through assessment tools, build tool configuration, and identity management. We will offer suggestions for Continuous Integration and DevOps environments. Validating the Container: Here we will discuss methods of container management and selection, as well as ways to ensure selection of the correct containers for placement into the environment. We will discuss approaches for container validation and management, as well as good practices for response when vulnerabilities are found. Protect the Runtime Environment: This post will cover protecting the runtime environment from malicious containers. We will discuss the basics of host OS security and container engine security. This topic could encompass an entire research paper itself, so we will only explore the basics, with pointers to container engine and OS platform security controls. And we will discuss use of identity management in cloud environments to restrict container permissions at runtime. Monitoring and Auditing: Here we will discuss the need to verify that containers are behaving as intended; we will break out use of logging, real-time monitoring, and activity auditing for container environments. We will also discuss verification of code behavior – through both sandboxing and API monitoring. Containers are not really new, but container security is still immature. So we are in full research mode with this project, and as always we use an open research model. The community helps make these research papers better – by both questioning our findings and sharing your experiences. We want to hear your questions, concerns, and experiences. Please reach out to us via email or leave comments. Our next post will address concerns we hear from security and IT folks. Share:

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.