Why hasn’t SHAKEN/STIR made a big dent in the volume of robocalls?

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If you live in the United States you surely get a ton of robocalls. As an aside, for whatever reason, it appears the problem is less severe in other countries.

If you look at these robocalls, one common element is that the phone numbers used are usually made up to look like they are hyper-local calls or simply do not disclose the origin. They do this to increase the chance you pick up the call.

This is possible because the phone system was largely designed on blind trust in telephone operators. As an example of this, you do not need to look further than the caller id metadata. Today the originator and their carrier get to set any phone number they like, as such, you can’t reliably block the call based on caller id or carrier metadata. Back when there was Ma Bell that was probably a rational choice. That said after Bell System was broken up it became far more problematic — the expansion of telephone services made that design assumption a larger issue.

That takes us to STIR/SHAKEN — this blind trust still exists in much of the telephone ecosystem and one area where this manifests today is these robocalls.

STIR/SHAKEN is intended to solve this problem, or at least be a key foundation for solving the problem. By making each telephone operator cryptographically sign the call metadata it becomes possible to hold the originator and their carrier accountable.

While this will not solve the problem of robocalls it does introduce a durable cryptographically verifiable credential that can be used to build databases of a reputation for both originating phone numbers and telephone companies.

In other words, adopting SHAKEN/STIR is about making it possible to fight robocalls, not fighting them directly. To be clear, there may be some ancillary reduction of robocalls due to the increased cost and complexity associated with participating in the STIR/SHAKEN ecosystem but this is at best a speed bump to a motivated attacker.

The good news is that once there is near ubiquitous adoption of this standard, it becomes far more practical for needed reputation systems to built. This in turn will hopefully enable the telephone companies to make a big dent in the problem.

In my opinion, the development and maintenance of these reputation systems is the harder problem of the two parts. I say this because today there is no signal from end-users to indicate that they believe the call was in fact a robocall.

While it is technically possible to look at aggregate user behavior, for example how quickly they hang up, or if they do not answer, to come up with a probability of being a robocall without this positive signal it will be a guess. The same is said for traffic pattern reputation systems, these are essentially a guess without affirmative labeling from the user.

The other problem that exists here is that this behavior data is only available to handset manufacturers and telephone network operators. I also suspect in both cases each party has usage restrictions on what they can do with the data, for example, are they allowed to share the data with other telephone network operators or handset manufacturers?

There are several robocall abatement applications out there that try to address this problem, the ones I have looked at appear to have horrible privacy policies and many are free suggesting their revenue model must be based on leveraging your call history.

Once installed these applications are surely sending this behavioral data to the cloud to analyze it for this specific purpose. The apps I have seen also expose ways to explicitly flag calls as spam or unwanted. This is probably the best you can do as a third party to build such a reputation system,

All of this basically means that you are in essence being asked to give up your privacy, and the privacy of those you communicate with, in exchange to avoid nuisance calls.

For some, this may be a good trade-off but for others, it likely is not.

I would rather see a model where telephone operators were required to share data with each other and do so with data usage constraints. If that was combined with some standardization by platforms like Android and IOS that made it possible for users to flag unwanted calls, and made it so that information could be shared across providers we might see a reliable, privacy-respecting solution to this problem become reality at some point.

User-managed smart cards are an oxymoron

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In an earlier post, I talked about what it is like to get an EV Code Signing Certificate in 2022 but what I didn’t talk about in that post was token management.

The first thing is that most smart cards implement a proprietary card edge, for example, the SafeNet 5110 is probably the most popular PKI-based smart card token. Since this token is totally proprietary you need to install what is called the SafeNet Authentication Client (SAC) before you can do much of anything with this token.

Most CAs will mail you an unprovisioned token, and tell you to install this client which contains amongst other things a PKCS#11 library that can work with it. The most important part of this package is actually the administration client though.

Without this, you can not initialize the token (roughly the equivalent of formatting it), set or change the passwords for using it, unblock it, or delete certificates from it (necessary as they have limited space).

What is important to understand is that these smart cards have their own administration model, in essence, there is a root user (the Security Officer or SO) and a regular user (that’s the person doing the code signing).

To make things easier for the recipient of a token these tokens are shipped with default secrets, at a minimum that involves the SO and user password (often all zeros or some other well-known sequence of numbers). For example, the default SO password for the SafeNet 5100 is a sequence of 48 zeros. 

While the SAC client will generate a random value for the SO password if you want it to, if you do not know what you are doing, it’s actually pretty natural to let it keep re-using the all zeros secret. On the other hand, if you let it assign a random value and do not secure it in some way so it is not lost if you type your password wrong 5 times the token is bricked.

This leaves us with a spectrum of choices that starts with a charade of protection and ends with something that would fail to meet the most basic business continuity expectations.

One might argue that anyone who wants to use a smart card would be savvy enough to know the above and make sure to use the appropriate practices. I personally find that hard to believe. If you do a search on the web right now I bet the only thing you will find is a few screenshots of how to get the token to the point it can have a key generated on it.

There are some providers who have built out remote signing capabilities using proprietary REST APIs and tooling, these are arguably a better choice than using a smart card but they also tend not to work very well or be very reliable. Not exactly what you want in a process that can gate your releases.

In summary, today, even when you manage to get a smart card enrollment to work remotely, there is a very good chance that you are not managing the smart card lifecycle and associate secretes effectively.

Getting an EV Code Signing Certificate in 2022

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The first thing you will need to do is to find a Windows machine, that is because it is only possible to enroll for an EV Code Signing certificate on Windows. The only browser that provides a way to enroll for a certificate with a smart card is Internet Explorer.

Internet explorer was deprecated on June 15, 2022, but the reality is that its market share had dropped to almost nothing long before that. Today .28% of web browser traffic is from IE. 

Edge does have an “IE Mode” that allows you to reload a page with this older version of the browser which still supports this smart card enrollment capability. The thing is that usually IE is only needed for one small part of a flow, for example when ordering an EV certificate you may complete the entire flow in your primary browser and have to start over again in this IE mode to do the actual enrollment.

While IE mode will continue to be supported through 2029. Edge only has about 4.11% of the browser market share today which means at a minimum most users must change browsers before they can get to this deprecated functionality. This pain is all rooted in an older technology known as COM. IE used to let you access COM components on the web, this was done via something known as ActiveX. 

ActiveX was a bad idea that was poorly executed but it did enable ways to break out of the browser sandbox to do interesting things. Unfortunately, those interesting things were also often interesting to attackers. This is why it was deprecated by IE long before IE itself was deprecated.

A limited set of ActiveX components got a stay of execution when that happened, one such component is CertEnroll. This control was allowed listed and has been used by CAs to facilitate certificate lifecycle management of user certificates on the web. Despite the proliferation of individual user/organization certificates (they are used more now than ever) there was no replacement made.

The thing is, even when it worked, it didn’t work well. For example, the CertEnroll component will commonly becomes non-responsive — as a result, the web browser ends up freezing. Recently I did an enrollment and IE hung for 4 minutes. I had two options, kill the browser with task manager or wait and pray it would return.

In summary, 96% of people on the web would need to change their browser and jump through a user experience that was designed in the early 2000s, an experience that was never invested in sufficiently, to get an EV code signing certificate today.

Another problem that exists here is that this is all smoke and mirrors from a security perspective. These EV certificates are required to have their keys stored on a smart card, this is effectively accomplished with some client-side javascript filtering of what middleware is used for the enrollment. This can be trivially bypassed with a few lines of Javascript in the browser console window. Doing this gives you an EV code signing certificate that has keys stored in the software. I have, for example, encountered CA websites that use third-party analytics javascript in their enrollment flows, any of these third parties could exfiltrate the code signing keys and the user wouldn’t notice. And if they did it would be because they would have had a better experience because of the issues I call out above.

YubiKey is the only smart card I know that supports an attestation for X.509 certificate keys that tells the CA that it is managing the key. This would mitigate this issue but there is no way to access this attestation information from the browser. If it were me I would mandate that only the YubiKey token be used for EV code signing certificates and either use a third-party solution like Fortify to interact with these tokens or require the YubiKey console tools be used for the enrollment. This would allow CAs to verify one of these tokens was actually being used to protect these keys.

Code signing is an important tool in protecting the software supply chain. It helps us understand an artifact’s origin, its integrity, and in the best case what quality bars the code meets. It would be fantastic if the scaffolding that enabled it was made so it was both easy and secure to do the right thing.

How to keep bad actors out in open ecosystems

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There is a class of problems in information security that are intractable. This is often because they have conflicting non-negotiable requirements. 

A good example of this is what I like to call the “re-entry” problem. For instance, let’s say you operated a source control service, let’s call it “SourceHub”. To increase adoption you need “SourceHub” to be quick and easy for anyone to join and get up and running. 

But some users are malicious and will do nefarious things with “SourceHub” which means that you may need to kick them off and keep them off of your service in a durable way.

These two requirements are in direct conflict, the first essentially requires anonymous self-service registration and the second requires strong, unique identification.

The requirement of strong unique identification might seem straightforward on the surface but that is far from the case. For example, in my small social circle, there are four “Natallia’s” who are often are at the same gatherings, everyone must qualify which one we are talking to at these events. I also used to own ryanhurst.com but gave it up because of the volume of spam I would get from fans of Ryan Hurst the actor because spam filters would fail to categorize this unique mail as spam due to the nature of its origin.

Some might say this problem gets easier when dealing with businesses but unfortunately, that is not the case. Take for example the concept of legal identity in HTTPS certificates — we know that business names are not globally unique, they are not even unique within a country which often makes the use of these business names as an identifier useless. 

We also know that the financial burden to establish a “legal business” is very low. For example in Kentucky, it costs $40 to open a business. The other argument I often hear is that despite the low cost of establishing the business the time involved is just too much for an attacker to consider.  The problem with this argument is the registration form takes minutes to fill out and if you toss in an extra $40 the turnaround time goes from under 3 weeks to under 2 days — not exactly a big delay when looking at financially incentified attackers.

To put this barrier in the context of a real-world problem let’s look at Authenticode signing certificates. A basic organizationally validated Authenticode code signing certificate costs around $59, With this certificate and that business registration, you can get whatever business name and application name you want to show in the install prompt in Windows.

This sets the bar to re-enter this ecosystem once evicted to around $140 dollars and a few days of waiting.

But what about Authenticode EV code signing? By using an EV code signing certificate you get to start with some Microsoft Smart Screen reputation from the get-go – this certainly helps grease the skids for getting your application installed so users don’t need to see a warning.


But does this reduce the re-entry problem further? Well, the cost for an EV code signing certificate is around $219 which does take the financial burden for the attacker to about $300. That is true at least for the first time – about $50 of that first tome price goes to a smart card like the SafeNet 5110cc or Yubikey 5.  Since the same smart card can be used for multiple certificates that cost goes down to $250 per re-entry. It is fair to say the complication of using a smart card for key management also slows the time it takes to get the first certificate, this gets the timeline from incorporation to having an EV code signing certificate in hand to about 1.5 weeks.

These things do represent a re-entry hurdle, but when you consider that effective Zero Day vulnerabilities can net millions of dollars I would argue not a meaningful one. Especially when you consider the attacker is not going to use their own money anyway.

You can also argue that it offers some rate-limiting value to the acquisition pipeline but since there are so many CAs capable of issuing these certificates you could register many companies, somewhat like Special Purpose Acquisition Companies (SPAC) in the stock market, so that when the right opportunity exists to use these certificates it’s ready and waiting.

This hurdle also comes at the expense of adoption of code signing. This of course begs the question of was all that hassle was worth it?

Usually the argument made here is that since the company registration took place we can at least find the attacker at a later date right? Actually no, very few (if any) of these company registrations verify the address of the applicant.

As I stated, in the beginning, this problem isn’t specific to code signing but in systems like code signing where the use of the credential has been separated from the associated usage of the credential, it becomes much harder to manage this risk.

To keep this code signing example going let’s look at the Apple Store. They do code-signing and use certificates that are quite similar to EV code-signing certificates. What is different is that Apple handles the entire flow of entity verification, binary analysis, manual review of the submission, key management, and signing. They do all of these things while taking into consideration the relationship of each entity and by considering the entire history available to them.  This approach gives them a lot more information than you would have if you did each of these things in isolation from each other. 

While there are no silver bullets when it comes to problems like this getting the abstractions at the right level does give you a lot more to work with when trying to defend from these attacks.

What would it look like to go back to first principles when it comes to root store management in 2022?

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In the early 2000s, Microsoft mandated that all CAs in its root program would need to be audited for conformity to WebTrust For CAs (WebTrust), It was the first root program to do so and I was the root program manager that rolled out that change. 

For those who are interested Web Trust for CAs is an audit that looks back at a period of past behavior to assess conformity to a set of criteria specific to certificate authorities. Only approved auditors are allowed to officially perform these assessments.

The decision to require the WebTrust audit was pretty simple, there was literally no other independent standard that attempted to assess the operational readiness and security of certificate authorities, and as far as such standards went it was more good than it was bad.

The other root programs didn’t have objective criteria, some operated on a pay-to-play model with virtually no requirements, while others simply wanted a management assertion of conformity to a small list of requirements and a contract signed. 

The idea of working with an independent group that had a vested interest in creating a baseline standard for the operation of CAs, that would be able to evolve over time, seemed like a no-brainer given how poor and inconsistent CA practices were at the time.

Nearly two decades later the CA/Browser Forum is where the AICPA and others go to discuss how the audit criteria should evolve over time. It’s objectively a success in that today there is quite a bit of uniformity in the operational practices that CAs have and its existence has led to many improvements to the WebPKI.

With that said, if we go back to first principles today I think I would take a different approach. I would design a root program that was heavily based on technical security controls, and behaviors that can be verified externally continuously.

If we’re going first principles then let’s take a step back at what responsibility a CA has on the internet. A TLS certificate does one thing fundamentally, it binds a domain name to a public key. It does this so that user agents (browsers) can verify that the server on the other end can verify that they are talking to the right server.

This user agent believes this certificate is telling the truth because the browser operators will remove CAs that demonstrate they are not trustworthy. 

Today I would guess 60-70% of the certificates on the web are issued via the ACME (RFC 8555) protocol. this protocol has a handful of methods it allows a requestor to use to prove they control the domain name (for example DNS-01, HTTP-01, and TLS-ALPN-02).

What this means is if ACME is the only way you can get a certificate from a CA, it also means that it is possible to externally test how the CA performs domain control verification. 

There has been another innovation in this space, we now have Certificate Transparency, this is a community of append-only ledgers that in union contain all of the WebPKI certificates. If a certificate does not get logged to the CT ledgers then users with major browsers (Safari, Chrome, Edge, etc) will see an error when the user visits the associated site.

This now gets us a list of all the things, with this list we can programmatically review 100% of the certificate issuance to ensure that they meet the externally visible technical requirements. This already happens today in the WebPKI thanks to the excellent Zlint.

What about how the CAs key material is protected? I love a good HSM too! Well, some HSMs already support attestations about the keys they are protecting, for example, Google Cloud, and Amazon Web Services use Marvel HSMs in their cloud offering and those devices offer hardware attestations about how a given key is protected.

What about the software that makes up the service? Well, some languages make naturally reproducible builds, for example, Go. This means that you could conceptually run CA software on hardware capable of making attestations about what it is running and from that attestation and if that software was open source you could audit the behavior of that software for security and conformity criteria.

You could even go so far as incorporating these attestations into certificate transparency pre-certificates along with how the domain control verification was performed for the “final” certificate so these things could be audited on a per certificate basis.

You could take the additional step of schematizing all of the audit logs that each of these CAs is required to produce and require them to make them public and verifiable via something like an append-only ledger.

We could even go so far as to eliminate the need for revocation checking by adopting very short-lived certificates as a mandate.

Now don’t get me wrong, this isn’t a complete list, and I doubt there is any set of technical controls that would totally eliminate the need for onsite independent visits but I would argue that they could be more frequent or technically deeper if as an industry we could asses much of the conformity of CAs in real-time and track the changes to their infrastructure.

This sounds like a big lift, after all, there is a top of CAs that exist in the WebPKI, the reality is that the large majority of these don’t focus on TLS as demonstrated by the fact that 5 CAs issue 98.59% of all TLS certificates. This means that you wouldn’t need to get many entities to embrace this new model to cover most of the internet.

If you had enough participants this new root program could be very agile for this new root program. After a short period of initial automated testing and a signed letter of conformity from an auditor, you could automate the inclusion processes. Should the continental monitoring find an issue you could automate the reporting to the CA and even automate the distrust of the CA in some cases.

This new WebPKI would need to exist in parallel to the old one for a long time, in particular, the existence of all of the embedded devices without reasonable firmware update would hold back its total adoption as websites need certificates that work everywhere but you can see a path to an agile, continually verified web PKI that leveraged more of these technical controls rather than all of the manual and procedural verification that is involved today.

I want to be clear, the above is a thought exercise, I am not aware of anyone planning on doing anything like the above, but I do think after 20 years it is entirely reasonable to rethink the topic of what the WebPKI looks like and we don’t need to rest on old patterns “just because that’s how it is done” — we have come a long distance in the last couple of decades and it’s worth looking at back these problems now and again.

WebPKI, TLS, cross-signs, device compatibility, and TLS record size.

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Both the Chrome and Mozilla root program have signaled the intent to substantially shorten the time we rely on roots in the WebPKI. I believe this to be a good objective but I am struggling to get my head around the viability and implications of the change.

In this post, I wanted to capture my inner dialog as I try to do just that 🙂

I figure a good place to start when exploring this direction is why this change is a good idea. The simplest answer to this question is probably that root certificates are really just “key bags” — by that I mean they are just a convenient way to distribute asymmetric keys to clients. 

Asymmetric keys have an effective lifetime, this means the security properties they offer start to decay from the moment the key is created. This is because the longer the key exists the more time an attacker has had to guess the corresponding private key from its public key, or worse compromise the private key in some way. For this reason, there are numerous sources of guidance on usage periods for asymmetric keys, for example, NIST guidance from 2020 says that a 2048 key is usable between 2019 and 2030.

There is also the question of ecosystem agility to consider. Alexander Pope once said To Err is Human, to forgive divine. This may actually be the most important quote when looking at computer security. After all, security practitioners know that all systems will have security breaches, this is why mature organizations focus so much on detection and response. I believe the same thing is needed for ecosystem management, the corollary, in this case, is how quickly you can respond to unexpected changes in the ecosystem.

Basically having short-lived root keys is good for security and helps ensure the ecosystem does not become calcified and overly dependent on very old keys continuing to exist by forcing them to change regularly.

With that, all said, if it were easy we would already be doing it! So what are the challenges that make it hard to get to this ideal? One of the hairiest is the topic of the Internet of Things (IOT). Though I would be the first to admit there is no one size fits all answer here, broadly these devices should not use the WebPKI.

In 2022, the market for the Internet of Things is expected to grow 18% to 14.4 billion active connections. It is expected that by 2025, as supply constraints ease and growth further accelerates, there will be approximately 27 billion connected IoT devices. 

IOT-Analytics.com

A big reason for this is that these devices last a very long time compared to their mobile phone and desktop counterparts. They also, unfortunately, tend not to have managed root stores and if they do, they do it as part of firmware updates and have limited attach rates of these updates. To make things worse these devices take crude simplifying assumptions around what cryptographic algorithms are supported and what root CAs will be used by servers in the future.

But for most IoT applications, like those enabling the smart city, the device life cycle is 10 to 20 years or more. For instance, it doesn’t make sense to replace the wireless module in smart streetlights every few years.

Ingenu

A good topical example of the consequences here might be the payment industry making a decision in the 90s to adopt a single WebPKI CA  (a VeriSign-owned and operated root certificate) in payment terminals without having a strategy for updating the device’s root stores.  These terminals communicated to web servers that were processing payments. In short, the servers had to use certificates from this one WebPKI Root CA or no payment terminals could reach them.

This design decision was made during a time when SHA-1 was considered “secure”. The thing is cryptographic attacks are always evolving, and since 2005 SHA-1 has not been considered secure. As a result, browsers moved to prevent the use of this algorithm. 

This meant that one of two things would happen, either browsers would break payment terminals by preventing WebPKI CAs from using this algorithm, or payment terminals’ lack of an update strategy would put the internet at risk by slowing the migration from SHA-1. Unfortunately, the answer was the latter.

In short, when you have no update story for roots and you rely on the WebPKI you are essentially putting both your product and the internet at risk. In this case, while a root and firmware update story should have existed regardless, the payment industry should have had a dedicated private PKI for these use cases.

OK, so what does this have to do with moving to a shorter root validity period in Browser root programs? Well, when a TLS server chooses what certificate to present to a client it doesn’t know much more than the IP address of the client. This means it can’t selectively choose a TLS certificate based on it being an IOT device, a phone running an old version of a browser, or a desktop browser.

This is where the concept of “root ubiquity” and what those in the industry sometimes called “root baking”. Some root programs process requests for new root inclusion very quickly, maybe within a year your root can become a member of their program but that isn’t enough.  You need the very large majority of the devices that rely on that root program to pick up the new root before the devices will trust it.

In the case of Microsoft Windows, the distribution of a root certificate happens via a feature called AutoRoot Update. The uptake for consumer devices of a new root is very high as this is seldom turned off and the URL that is used to serve this update is seldom blocked. Enterprises and data centers are another matter altogether though. While I do not have any data on what the split is, anecdotally I can say it’s still hit or miss if a root has been distributed in this system as a result of this.

Chrome on the other hand uses a configuration management system for all Chrome that also happens to control what roots are trusted. Again while I have no data I can point out anecdotally it appears this works very well and since chrome updates all browsers automatically they tend to have the latest binaries and settings.

Safari on the other hand manages the roots in the firmware/operating system update. This means if a user does not update their devices’ software the roots will never be present even if you are a member of the root program.

These are just a few examples of some of the root programs CAs have to worry about, and the problems they have to consider.  

What this means is the slowest root program in the WebPKI to accept and distribute roots holds back the adoption of new CAs.  

As an aside, It is worth noting that around 59% of all browser traffic (not including IoT devices) is mobile. This includes a lot of developing country traffic where phones are kept longer and replacement models are often still old models with older software and root stores that are not updated. This is before you get to TVs, printers, medical devices, etc that seldom do forced firmware updates and never manage roots independently from firmware.

As a result of the above, these days I generally tell people that it takes 5-7 years post inclusion to get sufficient ubiquity in a root to be able to rely on it for a popular service as a result.

A CA will typically try to address this problem by acquiring what is known as a cross-sign (see Unobtainium), there are two recent examples of this I can point to. One is the cross-sign for Let’s Encrypt and the other is the cross-sign for Google Trust Services. The problem is most CAs don’t want to help other CAs with cross-signs for obvious reasons. Beyond that increasingly there are fewer and fewer of the “old keys” still in use on the web that is baked into the oldest devices meaning there are not a lot of choices for those cross signs even if you can get one.

Let’s assume for the purpose of this (now long) post that you are able to get a cross sign either from a competitor or because you happen to have custody of older key material that was grandfathered into the root program that has the needed ubiquity.

In the simplest case, you get to a situation where you are asking those that use your certificates to include the two CA certificates in their TLS bundle.  At a minimum, we start to pay a performance penalty for doing this.

As an example consider that each certificate is about 1.5KB in size, by adding this new certificate to the bundle every fresh TLS negotiation will carry this tax.  If we assume a typical chain is normally 3 in length that makes our new total 4.5kb in overhead. It’s not a large figure but if you consider a high-traffic site like Amazon it adds up quickly.

How many purchases are made on Amazon daily? On a daily basis, Amazon ships more than 66,000 orders per hour in the US. About 1.6 million packages are shipped on a daily basis.

capitalcounselor.com

If we assume each of Amazon’s orders equates to a single fresh TLS negotiation (it should be many more than that since many servers power the site) that is a daily increase of 3.6GB of traffic. Now Amazon can deal with that with no problem but it would slow down the experience for users, and potentially cost those users without unlimited internet plans some of their allotted bandwidth. There is also the potential of fragmentation as the TLS packets get larger which increases the latency for the user.

Don’t get me wrong, these are not deal breakers but they are taxes that this cross sign approach represents. 

My fear, and to be clear I’ve not completed the thought process yet, the above story creates a situation where CAs need to provide multiple cross signs to support all the various device combinations that are out there in this new world.

If so this scares me for a few reasons, off the top of my head these include:

  1. It is already hard enough to get a single cross sign doing so multiple times will be that much harder,
  2. It will put new entrants at a disadvantage because they will not have legacy key material to rely on nor the high capital requirements to secure cross signs if commercial terms can even be reached allowing them to get one,
  3. We have spent the last decade making TLS the default and we are close to being able to declare victory on this journey if TLS becomes less reliable we may lose ground on this journey,
  4. It is a sort of regressive taxation on people with older and slower devices that are likely already slow and paying for data on a usage basis.
  5. The additional data required will have a negative impact on Time to First Paint (TTFP) in that this extra data has to be exchanged regardless.

Mom always said don’t complain if you don’t have a proposal to make things better, so I figure I should try to propose some alternatives. Before I do though I want to reiterate that this post isn’t a complaint, instead it’s just a representation of my inner dialog on this topic. 

OK, so what might be a better path for us getting to this world of shorter-lived roots? I guess I see a few problems that lead to the above constraints

  1. Even in the browser ecosystem, we need to see root lists updated dynamically,
  2. Inclusion into a root store should take months for your initial inclusion and later updates should happen in weeks,
  3. Browsers should publish data to help CAs understand how ubiquitous their root distributions are so they can assess if cross signs are even necessary,
  4. There needs to be some kind of public guidance to IoT devices on what they should be doing for the usage of certificates in their devices and this needs to include root management strategies.
  5. IOT devices need to stop using the WebPKI, it is increasingly the Desktop and Browser PKI and anything else will get squashed like a bug in the future if they are not careful 🙂
  6. There should be a Capability and Maturity Model for root programs and associated update mechanisms that can be used to drive change in the existing programs 
  7. CAs should stop using one issuing hierarchy for all cases and divide up the hierarchies into as narrow of slices as possible to reduce the need for one root to be trusted in all scenarios.
  8. Root programs should allow and go so far as to encourage CAs to have more than the 3 (typical) roots they allow now to support CAs in doing that segmentation 
  9. WebPKI root programs should operate two root programs, the legacy one with all of its challenges and the new one focused on agility, automation, and very narrow use cases. Then they should use the existence of that program to drive others to the adoption of those narrower use cases.
  10. And I guess finally we have a chance with the Post Quantium TLS discussions to look at creating an entirely new WebPKI (possibly without X.509!) that is more agile and narrow from the get-go.

Why crawling is not an adequate measurement methodology for the WebPKI

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The answer is simple — It’s an incomplete view of the use of the WebPKI.

There are a number of different methodologies a web crawler-based approach might take in measuring the size of the WebPKI. The most naive approach would be to simply scan all IPv4 address space and log all of the certificates you see during this scan.

The problem is that this only shows a small fraction of the certificates that are out there. When you connect to an IP address and the associated web server doesn’t know what host you are trying to connect to it will return its “default” website and use the associated certificate.

That same IP address may literally be responsible for serving millions of sites based on the client’s indicated hostname. With this IP-based enumeration approach at best you would get one certificate from that host, at worse you wouldn’t even get that because some servers are not configured with a default site. This is just one problem with this approach there are many more.

Though most WebPKI market share reports do not document their methodology anecdotally it appears most work on this crawler approach and at least historically some have taken periodic drops from CAs to make their view “more complete”.

Today though the only way to measure CA market share that should be used is by relying on the pre-certificate counts in Certificate Transparency logs.

How to measure the WebPKI ecosystem

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The web is dependent on there being a robust, secure, and scalable set of CAs being able to provide TLS certificates. It is unhealthy for there to be a single provider because if for any reason they have an operational or security issue they could become unavailable leaving the web in a world of hurt.

Beyond that in the name of TLS reliability TLS certificate consumers should be relying on multiple CAs for their certificates. For example, to reduce exposure to outages your certificate lifecycle management solution should support failover from one CA to the next. 

Another example of why you should use multiple CAs is to help ensure relying on party agility to changes in CAs, for example, if a CA changes which root key material they use you may lose (or gain) device compatibility, or if an issuing CA changes and someone is pinning you might break them. By to ensure device compatibility long term one should use multiple CAs to help ensure the relying party ecosystem you support is agile to these changes.

For this to work though you need to have an ecosystem of CAs you can use interchangeably, ACME (RFC 8555) helps here substantially because it provides a normalized way to interact with CAs to get these certificates. That is only helpful if there are multiple CAs that implement the protocol and if those CAs are able to scale to meet the needs of those who rely on them.

This is particularly important when you look at SaaS-like offerings the larger ones will often demand millions of certificates that need to be able to be revoked and re-issued in less than 24 hours in some cases so the scalability of the CA becomes particularly important.

Assessing the scalability of a CA is hard but one of the closest proxies you have is their overall market share.

In the US, according to the Google Transparency Report, 97% of all web traffic is protected with TLS. To put that in context there were 366.8 million registered domain names as of 2022.

Certificates can represent more than one domain name so depending on what you are measuring certificate count may not be the best metric to asses CA market share. With that said in the context of scalability, it’s probably a good metric.

What are some ways to evaluate the CA impact and market share?

  • How many certificates are issued by the CA and are unexpired.
  • How many domains are contained within the unexpired certificates issued by a CA.
  • What percentage of web traffic would be covered by the certificates issued by a CA.
  • What percentage of certificates issued by the CA are unexpired and actively in use.

Each of these answers different questions, and they progressively get harder to measure as you go down the list. The easiest by far is how many certificates are issued and still unexpired. This is because all CAs log what is called a pre-certificate to the Certificate Transparency ecosystem before issuance.

NOTE: Publication of a pre-certificate is not required by the rules of the ecosystem however not doing so would mean that users relying on that certificate would get an error.

While the existence of a pre-certificate doesn’t promise the certificate is in use it does signal that someone who controlled that domain wanted to use a certificate for that domain. They wouldn’t have bothered going to the trouble of doing that if there was not an intent to use the certificate in some way.

The easiest way to look at this data is to use the excellent https://crt.sh/cert-populations report. While it does go down from time to time it also provides very fresh views into the un-expired pre-certificate count.

NOTE: Since not all CAs publish what is referred to as the “final certificate” you can safely ignore the Certificate count data on this report.

So what does this data look like (As of July 29th, 2022)?

CertificatesPrecertificates
ALLUnexpiredALLUnexpired% of Unexpired Population
Internet Security Research Group2,834,892,521264,685,3352,553,476,280228,023,48050.18%
Sectigo109,399,9847,245,014373,669,758106,119,71323.35%
DigiCert560,740,35744,640,273497,448,38945,475,97210.01%
GoDaddy6,371,9601,874,81252,669,26031,293,3046.89%
Google Trust Services LLC17,28417828,112,66215,443,3063.40%
Amazon13,540,55698,980104,887,85914,757,6503.25%
GlobalSign nv-sa16,729,66393723,636,7786,893,7281.52%
Actalis55233,236,4931,691,7440.37%
Asseco Data Systems S.A. (previously Unizeto Certum)6,298,4726209,375,7421,571,8520.35%
Start Commercial (StartCom) Ltd.1,495,580982,866,004883,0220.19%
?1,241,4632143,924,285567,4800.12%
Entrust739,9015242,304,521554,4310.12%
SECOM Trust Systems CO., LTD.156,234-112,217,668242,8150.05%
WoSign CA Limited88,6607250,823110,1010.02%
Certainly LLC31,361205240,103101,5330.02%
Buypass186,2002702,127,22898,8350.02%
QuoVadis53,636432236,06397,4540.02%
SecureTrust311,226227301,19778,4890.02%
Microsoft Corporation Core Services Engineering & Operations ( “Microsoft CSEO”)216,44873,560212,90574,6970.02%
Deutsche Telekom Security GmbH57,57032147,94949,5560.01%
JPRS15,7383482,64236,5120.01%
SwissSign AG237,88668,27283,50426,9750.01%
Government of Spain, Fábrica Nacional de Moneda y Timbre (FNMT)86,87223,86657,20623,7720.01%

What you will see is the top 5 CAs out of 233 issue 98.59% of all TLS certificates. While I would like to see this distribution be more normalized to ensure that the ecosystem is not overly dependent on any one entity as far as health goes it does show there are several large providers out there that support the Web who have demonstrated they can scale to meet large certificate consumption needs.

One thing you will notice in this data is that the variability in the pre-certificate “ALL” and “Unexpired” count is quite large in some cases. This is because some CAs like Let’s Encrypt and Google Trust Services either predominantly, or exclusively issue shorter-lived certificates. This results in the certificate count in “All” being much higher than the “Unexpired” case.

So what can we take away from this data? I think there are four key takeaways:

  1. Support of certificate issuance via ACME has made shorter-lived certificates viable and they now represent the large majority of certificates on the web.
  2. Support of ACME has helped grow the percentage of the web that is encrypted from about half of the web to nearly 100% of the web.
  3. 2.15% of CAs issue 98.59% of all TLS certificates on the web.

Cryptographic controls and feature trade-offs

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In an earlier post, I discussed how the use of cryptographic controls can help enable those building privacy governance programs to both deliver on their objectives of meeting their privacy obligations and enabling them to do so in an enforceable and misuse-resistant manner.

As I was discussing this post with someone they brought up the topic of feature trade-offs one must take when utilizing cryptographic controls. The canonical example I hear seems to be bots/assistance in end-to-end protected messaging apps. The thesis goes that in e2e chats these features are not possible, the reality is that they are, it just is harder to do.

This is why I said in that earlier post “More work is needed to make it so the smaller organizations can adopt these patterns”. This is because the boilerplate to enable these scenarios is largely missing.

Alec Muffet talks a bit about this specific scenario in his recent talk about his IETF draft.

To be clear, my reference to cryptographic controls in that post is not limited to end-to-end encryption. There are many ways such cryptographic controls can be applied, depending on objectives and constraints. For example, a useful tool for mitigating insider threats of abused data is limiting access to real user data and auditing access via append-only ledgers.

In many respects, the points are more about moving beyond procedural and manual controls to technical controls that are both strong and demonstrable.

Evolution of privacy governance and how cryptographic controls can help

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Unfortunately, most organizations do not have a formal strategy for privacy, and those that do usually design and manage them similarly to their existing compliance programs.

This is not ideal for several reasons which I will try to explore in this post but more importantly, I want to explore how the adoption of End-To-End encryption and Client-Side encryption is changing this compliance-focused model of privacy to one backed by proper technical controls based on modern cryptographic patterns. 

If we look at compliance programs they usually evolve from something ad-hock and largely aspirational (usually greatly overselling what they deliver) and over time move to a more structured process-oriented approach that is backed with some minimum level of technical controls to ensure each process is followed. 

What is usually missing in this compliance journey is an assessment of sufficiency beyond “I completed the audit gauntlet without a finding”. This is because compliance is largely focused on one objective — proving conformance to third-party expectations rather than achieving a set of contextually relevant security or privacy objectives – This is the root of why you hear security professionals say “Compliance is not Security”.

If you watch tech news as I do, you have surely seen news articles calling the cybersecurity market “the new lemon market “, and while I do agree this is largely true I also believe there is a larger underlying issue — an overreliance on compliance programs to achieve security and privacy objectives.

To be clear, the point here is not that compliance programs for privacy are not necessary, instead, what I am saying is they need to be structured differently than general-purpose compliance programs, as the objectives are different. These differences lend themself to misuse resistant design and the use of cryptographic controls as an excellent way to achieve those objectives.

Misuse resistance is a concept from cryptography where we design algorithms to make implementation failures harder. This is in recognition of the fact that almost all cryptographic attacks are caused by implementation flaws and not fundamental breaks in the cryptographic algorithms themselves. 

Similarly, in the case of privacy, most companies will not say “we intend to share your data with anyone who asks”. Instead, they talk of their intent to keep your information confidential — the problem is that in the long run everyone experiences some sort of failure and those failures can make it impossible to live up to that intent.

So back to this compliance-focused approach to privacy — it is problematic in several cases, including:

  • Where insiders [1,2,3] are abusing their position within an organization,
  • When configuration mistakes result in leakage of sensitive data [4,5,6], 
  • When service providers fail to live up to customers’ expectations on data handling [7,8], 
  • When technical controls around data segmentation fail [9],
  • and of course when service providers fail to live up to their marketing promises for government access requests for your sensitive information [10,11].

If we move to a model where we approach these problems using engineering principles rather than process and manual controls we end can end up in a world where the data and access to it are inherently misused resistant and hopefully verifiable.

This is exactly what we see in the design patterns that have been adopted by Signal, namely they gather only the minimal level of data to deliver the service, and the data they do gather they encrypt in such a way to limit what they can do with it.

They are not the only ones though can see the similar approaches from Android and how they handle encrypted backups as well as in Apple in how they handle device pin recovery. 

Another great example is how payment providers like Stripe leverage client-side encryption to reduce exposure of payment details to intermediaries or how Square uses client-side encryption in the Cash App to limit adversaries’ access to the data.

While today these patterns are only being applied by the largest and most technically advanced organizations the reality is that as Alexander Pope once said “to err is human” and if we are to truly solve for privacy and security we have to move to models that rely less on humans doing the right thing and for privacy, this means extensive use of cryptographic patterns like those outlined above.

It could be argued that of the reasons we do not see these patterns applied more is security the nihilist’s argument that client-side encryption and cryptographic transparency are exercises of re-arranging deck chairs on a sinking ship.

While there is some truth to that argument you can both limit the amount of trust you have to place in these providers (limiting the amount of trust delegated is the essence of security after all!) and make elements of what the provider does verifiable which again furthers this misuse resistant objective.

If that is the case then why is it that only the largest providers do this today? I would argue it’s just too darn hard right now. For example, when you start applying client-side encryption and cryptographic controls to systems there is still a substantial lift, especially when compared to the blind trust paradigm most systems operate within.

There are a few reasons, but one of the largest in the case of client-side encryption is that you end up having to build the associated key management frameworks yourself and that takes time, and expertise that many projects simply do not have access to.

With that said just like modern systems have moved from self-hosted monoliths to microservices that are globally scaled thanks to solutions like Kubernetes which in turn gives them node to node compartmentalization and other by default security controls, I believe we will see a similar move for sensitive data handling where these cryptographic controls and usage policies become a key tool in the developer’s toolbox.

More work is needed to make it so the smaller organizations can adopt these patterns but, unquestionably, this is where we end up long term. When we do get here, to borrow an over-used marketing term, we end up what might be called Zero Trust Data Protection in today’s market.