Category Archives: misc

Miscellaneous bits that don’t fit elsewhere

Ron was wrong, Whit is right – Weak keys in the internet

Today, Maxime Augier gave a great talk about the state of security of the internet PKI infrastructure. The corresponding paper written by Lenstra, Hughes, Augier, Bos, Kleinjung, and Wachter was uploaded to eprint.iacr.org archive a few weeks ago. In a nutshell, they found out that some RSA keys, that is often used in the SSL/TLS protocol to secure internet traffic, are generated by bad pseudo random number generators and can be easily recovered, thous providing no security at all.

The RSA cryptosystem

RSA is one of the oldest and most famous asymmetric encrytion schmes. The key generation for RSA can be summarized as follows:

For a given bitlength l (for example l = 1024 or l = 2048 bits), choose randomly two prime numbers p and q of of bitlength l/2. Choose a number 1 < e < (p-1)*(q-1), that has no divisor in common with (p-1)*(q-1). Many people choose e = 2^{16+1} here for performance reasons, but other choices are valid as well. Now, the number n = p*q and e form the public key, while d = e^{-1} \bmod (p-1)*(q-1) is the private key. Sometimes, the numbers p and q are stored with the private key, because they can be used to accelerated decryption.

To encrypt a message m, one just computes c = m^e \bmod n, and to decrypt a message, one computes m = c^d \bmod n. However, we don’t need that for the rest of this text can safely ignore that.

How random do these numbers need to be?

When generating cartographic keys, we need to distinguish between just random numbers and cryptographically secure random numbers. Many computers cannot generate real random numbers, so they generate random numbers in software. For many applications like computer games and for example simmulations of experiments, we only need number that seem to be random. Functions like “rand()” from the standard c library provide such numbers and the generation of these numbers is often initialized from the current system time only.

For cryptographic applications, we need cryptographically secure random numbers. These are numbers that a generated in a way, that there is no efficient algorithm, that distinguish them from real random numbers. Generating such random numbers on a computer can be very hard. In fact, there have been a lot of breaches of devices and programs, that used a bad random number generator for cryptographic applications.

What has been found out?

From my point of view, the paper contains two noteably results:

Many keys are shared by several certificates

6 185 228 X.509 certificates have been collected by the researchers. About 4.3% of them contained an RSA public key, that was also used in another certificate. There could be several reasons for this:

  • After a certificate has expired, another certificate is issued, that contains the same public key. From my point of view, there is nothing wrong with doing that.
  • A company changes their name or is taken over by another company. To reflect that change, a new certificate is issued, that contains another company name, but still uses the same key. I don’t see any problems here either.
  • A product comes with a pre-installed key, and the consumer has to request an certificate for that key. The same key is shipped to several customers. From my point of view, this is really a bad idea
  • Or there might be really a bad random number generator in some key generation routines, that two entities that are not related come up with the same RSA public (and private) key. This is a security nightmare.

Some keys share a common divisor

This is definitely not supposed to happen. If two RSA keys are generated, that share a common divisor by the same or by different key generation routines, the private key for both public keys can be easily determined, and the key generation routine is deeply flawed.

What are the consequences?

For those, who use an RSA public key, that shares a modulus with another different RSA public key, their key provides no protection at all. All implementations, that generated these keys definitely need to be updated and the certificates using the weak keys need to be revoked.

Which devices and vendors are affected?

Because disclosing the list of affected devices and vendors would compromise the security of these systems immediately, and allow everyone to recover their secret RSA keys, this has not been disclosed.

GMR-1 cipher specifications are now public

A reference implementation of the GMR-1 cipher has now been released. You can download the sourcecode from http://cgit.osmocom.org/cgit/osmo-gmr/tree/src/l1/a5.c.

Here are the most important facts in a nutshell:

  • 4 Linear Feedback Shift registers in Fibonacci configuration.
  • 81 bits of state
  • Registers 1, 2, and 3 of length 19, 22, and 23 bits control the output
  • Register 4 of length 17 bits controls the clocking of registers 1, 2, and 3, and does not contribute to the output
  • Clocking control is a simple majority clocking, so that registers are clocked 0 or 1 times
  • The output combiner is a quadratic function

So in fact, this cipher looks like a A5/2 clone from GSM.

Message from your host: Resurrection

The last post on this blog has been almost a year ago. A lot has changed in my life since. I have long thought about whether I should shut down this blog or resurrect it.

Finally, somewhen this weekend I have decided on resurrecting it after attending the Seminar on Symmetric Cryptography in Dagstuhl last week. A couple of things will change, I will probably relocate to a new server, but everything should be running smoothly again by the end of the week.

Expect new content soon.

PolyBoRi has been released

Michael Brickenstein and Alexander Dreyer have released the first beta version of PolyBoRi (version 0.1). Congratulations! If you haven’t heard of it yet, here’s the blurb: 

“The core of PolyBoRi is a C++ library, which provides high-level data types for Boolean polynomials and monomials, exponent vectors, as well as for the underlying polynomial rings and subsets of the powerset of the Boolean variables. As a unique approach, binary decision diagrams are used as internal storage type for polynomial structures. On top of this C++-library we provide a Python interface. This allows parsing of complex polynomial systems, as well as sophisticated and extendable strategies for Gröbner base computation. PolyBoRi features a powerful reference implementation for Gröbner basis computation.”

 I expect great things from PolyBori for the field of algebraic cryptanalysis. If you are interested in polynomial system solving, please also make sure to read the paper by the authors on the techniques used in PolyBori in the electronic proceedings of MEGA 2007.