Securosis

Research

Comments on Visa’s Tokenization Best Practices

If you are interested in tokenization, check out Visa’s Tokenization Best Practices guide, released this week. The document is a very short four pages. It highlights the basics and is helpful in understanding minimum standards for deployment. That said, I think some simple changes would make the recommendations much better and deployments more secure. From a security standpoint my issues are twofold: I think they fell far short with their recommendations on token generation, and that salting should be implemented differently than they suggest. I also believe that, given how prescriptive the advice is in several sections, Visa should clarify what they mean by encrypting the “Card Data Vault”, but that’s a subject for another day. First things first: let’s dig into the token generation issues. The principle behind tokenization is to substitute a token for a real (sensitive) value, so you cannot reverse engineer the token into PAN data. But when choosing a token creation strategy, you must decide whether you want to be able to retrieve the value or not. If you will want to convert the token back to the original value, use encryption. But if you don’t need to this, there are better ways to secure PAN data than encryption or hashing! My problem with the Visa recommendations is their first suggestion should have been simply to use a random number. If the output is not generated by a mathematical function applied to the input, it cannot be reversed to regenerate the original PAN data. The only way to discover PAN data from a real token is a (reverse) lookup in the token server database. Random tokens are simple to generate, and the size & data type constraints are trivial. This should be the default, as most firms should neither need or want PAN data retrievable from the token. As for encryption, rather than suggest a “strong encryption cipher”, why not take this a step further and recommend a one time pad? This is a perfect application for that kind of substitution cipher. And one time pads are as secure a method as anything else. I’m guessing Visa did not suggest this because a handful of very large payment processors, with distributed operations, actually want to retrieve the PAN data in multiple locations. That means they need encryption, and they need to distribute the keys. As for hashing, I think the method they prescribe is wrong. Remember that a hash is deterministic. You put in A, the hash digests the PAN data, and it produces B. Every time. Without fail. In order to avoid dictionary attacks you salt the input with a number. But the recommendations are ” … hashing of the cardholder data using a fixed but unique salt value per merchant”! If you use a static merchant ID as the salt, you are really not adding much in the way of computational complexity (or trying very hard to stop attacks). Odds are the value will be guessed or gathered at some point, as will the hashing algorithm – which subjects you to precomputed attacks against all the tokens. It seems to me that for PAN data, you can pick any salt you want, so why not make it different for each and every token? The token server can store the random salt with the token, and attacks become much tougher. Finally, Visa did not even discuss format preservation. I am unaware of any tokenization deployment that does not retain the format of the original credit card number/PAN. In many cases they preserve data types as well. Punting on this subject is not really appropriate, as format preservation is what allows token systems to slide into existing operations without entirely reworking the applications and databases. Visa should have stepped up to the plate with format preserving encryption and fully endorsed format-preserving strong cryptography. This was absent fromnot addressed in the Field Level Encryption Best Practices in 2009, and remains conspicuous by its absence. The odds are that if you are saddled with PCI-DSS responsibilities, you will not write your own ‘home-grown’ token servers. So keep in mind that these recommendations are open enough that vendors can easily provide botched implementations and still meet Visa’s guidelines. If you are only interested in getting systems out of scope, then any of these solutions is fine because QSAs will accept them as meeting the guidelines. But if you are going to the trouble of implementing a token server, it’s no more work to select one that offers strong security. 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.