Network Working Group C. Cremers
Internet-Draft L. Garratt
Intended status: Informational University of Oxford
Expires: September 12, 2019 S. Smyshlyaev
CryptoPro
N. Sullivan
Cloudflare
C. Wood
Apple Inc.
March 11, 2019
Randomness Improvements for Security Protocols
draft-irtf-cfrg-randomness-improvements-04
Abstract
Randomness is a crucial ingredient for TLS and related security
protocols. Weak or predictable "cryptographically-strong"
pseudorandom number generators (CSPRNGs) can be abused or exploited
for malicious purposes. The Dual EC random number backdoor and
Debian bugs are relevant examples of this problem. An initial
entropy source that seeds a CSPRNG might be weak or broken as well,
which can also lead to critical and systemic security problems. This
document describes a way for security protocol participants to
augment their CSPRNGs using long-term private keys. This improves
randomness from broken or otherwise subverted CSPRNGs.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
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This Internet-Draft will expire on September 12, 2019.
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Copyright Notice
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Randomness Wrapper . . . . . . . . . . . . . . . . . . . . . 3
3. Tag Generation . . . . . . . . . . . . . . . . . . . . . . . 5
4. Application to TLS . . . . . . . . . . . . . . . . . . . . . 5
5. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 5
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 6
7. Security Considerations . . . . . . . . . . . . . . . . . . . 6
8. Comparison to RFC 6979 . . . . . . . . . . . . . . . . . . . 7
9. Normative References . . . . . . . . . . . . . . . . . . . . 7
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 8
1. Introduction
Randomness is a crucial ingredient for TLS and related transport
security protocols. TLS in particular uses random number generators
(generally speaking, CSPRNGs) to generate several values: session
IDs, ephemeral key shares, and ClientHello and ServerHello random
values. CSPRNG failures such as the Debian bug described in
[DebianBug] can lead to insecure TLS connections. CSPRNGs may also
be intentionally weakened to cause harm [DualEC]. Initial entropy
sources can also be weak or broken, and that would lead to insecurity
of all CSPRNG instances seeded with them. In such cases where
CSPRNGs are poorly implemented or insecure, an adversary may be able
to predict its output and recover secret Diffie-Hellman key shares
that protect the connection.
This document proposes an improvement to randomness generation in
security protocols inspired by the "NAXOS trick" [NAXOS].
Specifically, instead of using raw randomness where needed, e.g., in
generating ephemeral key shares, a party's long-term private key is
mixed into the entropy pool. In the NAXOS key exchange protocol, raw
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random value x is replaced by H(x, sk), where sk is the sender's
private key. Unfortunately, as private keys are often isolated in
HSMs, direct access to compute H(x, sk) is impossible. An alternate
yet functionally equivalent construction is needed.
The approach described herein replaces the NAXOS hash with a keyed
hash, or pseudorandom function (PRF), where the key is derived from a
raw random value and a private key signature. Implementations SHOULD
apply this technique when indirect access to a private key is
available and CSPRNG randomness guarantees are dubious, or to provide
stronger guarantees about possible future issues with the randomness.
Roughly, the security properties provided by the proposed
construction are as follows:
1. If the CSPRNG works fine, that is, in a certain adversary model
the CSPRNG output is indistinguishable from a truly random
sequence, then the output of the proposed construction is also
indistinguishable from a truly random sequence in that adversary
model.
2. An adversary Adv with full control of a (potentially broken)
CSPRNG and able to observe all outputs of the proposed
construction, does not obtain any non-negligible advantage in
leaking the private key, modulo side channel attacks.
3. If the CSPRNG is broken or controlled by adversary Adv, the
output of the proposed construction remains indistinguishable
from random provided the private key remains unknown to Adv.
2. Randomness Wrapper
Let x be the output of a CSPRNG. When properly instantiated, x
should be indistinguishable from a random string of x bytes.
However, as previously discussed, this is not always true. To
mitigate this problem, we propose an approach for wrapping the CSPRNG
output with a construction that mixes secret data into a value that
may be lacking randomness.
Let G(n) be an algorithm that generates n random bytes, i.e., the
output of a CSPRNG. Define an augmented CSPRNG G' as follows. Let
Sig(sk, m) be a function that computes a signature of message m given
private key sk. Let H be a cryptographic hash function that produces
output of length M. Let Extract(salt, IKM) be a randomness
extraction function, e.g., HKDF-Extract [RFC5869], which accepts a
salt and input keying material (IKM) parameter and produces a
pseudorandom key of length L suitable for cryptographic use. Let
Expand(k, info, n) be a variable-length output PRF, e.g., HKDF-Expand
[RFC5869], that takes as input a pseudorandom key k of length L, info
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string, and output length n, and produces output of n bytes.
Finally, let tag1 be a fixed, context-dependent string, and let tag2
be a dynamically changing string.
The construction works as follows. Instead of using G(n) when
randomness is needed, use G'(n), where
G'(n) = Expand(Extract(G(L), H(Sig(sk, tag1))), tag2, n)
Functionally, this expands n random bytes from a key derived from the
CSPRNG output and signature over a fixed string (tag1). See
Section 3 for details about how "tag1" and "tag2" should be generated
and used per invocation of the randomness wrapper. Expand()
generates a string that is computationally indistinguishable from a
truly random string of n bytes. Thus, the security of this
construction depends upon the secrecy of H(Sig(sk, tag1)) and G(n).
If the signature is leaked, then security of G'(n) reduces to the
scenario wherein randomness is expanded directly from G(n).
If a private key sk is stored and used inside an HSM, then the
signature calculation is implemented inside it, while all other
operations (including calculation of a hash function, Extract and
Expand functions) can be implemented either inside or outside the
HSM.
Sig(sk, tag1) should only be computed once for the lifetime of the
randomness wrapper, and MUST NOT be used or exposed beyond its role
in this computation. To achieve this, tag1 may have the format that
is not supported (or explicitly forbidden) by other applications
using sk.
Sig MUST be a deterministic signature function, e.g., deterministic
ECDSA [RFC6979], or use an independent (and completely reliable)
entropy source, e.g., if Sig is implemented in an HSM with its own
internal trusted entropy source for signature generation.
In systems where signature computations are expensive, Sig(sk, tag1)
may be cached. In that case the relative cost of using G'(n) instead
of G(n) tends to be negligible with respect to cryptographic
operations in protocols such as TLS. A description of the
performance experiments and their results can be found in the
appendix of [SecAnalysis].
Moreover, the values of G'(n) may be precomputed and pooled. This is
possible since the construction depends solely upon the CSPRNG output
and private key.
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3. Tag Generation
Both tags SHOULD be generated such that they never collide with
another contender or owner of the private key. This can happen if,
for example, one HSM with a private key is used from several servers,
or if virtual machines are cloned.
To mitigate collisions, tag strings SHOULD be constructed as follows:
o tag1: Constant string bound to a specific device and protocol in
use. This allows caching of Sig(sk, tag1). Device specific
information may include, for example, a MAC address. To provide
security in the cases of usage of CSPRNGs in virtual environments,
it is RECOMMENDED to incorporate all available information
specific to the process that would ensure the uniqueness of each
tag1 value among different instances of virtual machines
(including ones that were cloned or recovered from snapshots). It
is needed to address the problem of CSPRNG state cloning (see
[RY2010]). See Section 4 for example protocol information that
can be used in the context of TLS 1.3.
o tag2: Non-constant string that includes a timestamp or counter.
This ensures change over time even if outputs of G(L) were to
repeat. It MUST be implemented such that its values never repeat.
This means, in particular, that timestamp is guaranteed to change
between two requests to CSPRNG (otherwise counters should be
used).
4. Application to TLS
The PRF randomness wrapper can be applied to any protocol wherein a
party has a long-term private key and also generates randomness.
This is true of most TLS servers. Thus, to apply this construction
to TLS, one simply replaces the "private" CSPRNG G(n), i.e., the
CSPRNG that generates private values, such as key shares, with:
G'(n) = HKDF-Expand(HKDF-Extract(G(L), H(Sig(sk, tag1))), tag2, n)
Moreover, we fix tag1 to protocol-specific information such as "TLS
1.3 Additional Entropy" for TLS 1.3. Older variants use similarly
constructed strings.
5. Acknowledgements
We thank Liliya Akhmetzyanova for her deep involvement in the
security assessment in [SecAnalysis].
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6. IANA Considerations
This document makes no request to IANA.
7. Security Considerations
A security analysis was performed in [SecAnalysis]. Generally
speaking, the following security theorem has been proven: if the
adversary learns only one of the signature or the usual randomness
generated on one particular instance, then under the security
assumptions on our primitives, the wrapper construction should output
randomness that is indistinguishable from a random string.
The main reason one might expect the signature to be exposed is via a
side-channel attack. It is therefore prudent when implementing this
construction to take into consideration the extra long-term key
operation if equipment is used in a hostile environment when such
considerations are necessary. Hence, it is recommended to generate a
key specifically for the purposes of the defined construction and not
to use it another way.
The signature in the construction as well as in the protocol itself
MUST NOT use randomness from entropy sources with dubious security
guarantees. Thus, the signature scheme MUST either use a reliable
entropy source (independent from the CSPRNG that is being improved
with the proposed construction) or be deterministic: if the
signatures are probabilistic and use weak entropy, our construction
does not help and the signatures are still vulnerable due to repeat
randomness attacks. In such an attack, the adversary might be able
to recover the long-term key used in the signature.
Under these conditions, applying this construction should never yield
worse security guarantees than not applying it assuming that applying
the PRF does not reduce entropy. We believe there is always merit in
analyzing protocols specifically. However, this construction is
generic so the analyses of many protocols will still hold even if
this proposed construction is incorporated.
The proposed construction cannot provide any guarantees of security
if the CSPRNG state is cloned due to the virtual machine snapshots or
process forking (see [MAFS2017]). Thus tag1 SHOULD incorporate all
available information about the environment, such as process
attributes, virtual machine user information, etc.
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8. Comparison to RFC 6979
The construction proposed herein has similarities with that of RFC
6979 [RFC6979]: both of them use private keys to seed a DRBG.
Section 3.3 of RFC 6979 recommends deterministically instantiating an
instance of the HMAC DRBG pseudorandom number generator, described in
[SP80090A] and Annex D of [X962], using the private key sk as the
entropy_input parameter and H(m) as the nonce. The construction
G'(n) provided herein is similar, with such difference that a key
derived from G(n) and H(Sig(sk, tag1)) is used as the entropy input
and tag2 is the nonce.
However, the semantics and the security properties obtained by using
these two constructions are different. The proposed construction
aims to improve CSPRNG usage such that certain trusted randomness
would remain even if the CSPRNG is completely broken. Using a
signature scheme which requires entropy sources according to RFC 6979
is intended for different purposes and does not assume possession of
any entropy source - even an unstable one. For example, if in a
certain system all private key operations are performed within an
HSM, then the differences will manifest as follows: the HMAC DRBG
construction of RFC 6979 may be implemented inside the HSM for the
sake of signature generation, while the proposed construction would
assume calling the signature implemented in the HSM.
9. Normative References
[DebianBug]
Yilek, Scott, et al, ., "When private keys are public -
Results from the 2008 Debian OpenSSL vulnerability", n.d.,
<https://pdfs.semanticscholar.org/fcf9/
fe0946c20e936b507c023bbf89160cc995b9.pdf>.
[DualEC] Bernstein, Daniel et al, ., "Dual EC - A standardized back
door", n.d., <https://projectbullrun.org/dual-
ec/documents/dual-ec-20150731.pdf>.
[MAFS2017]
McGrew, Anderson, Fluhrer, Shenefeil, ., "PRNG Failures
and TLS Vulnerabilities in the Wild", n.d.,
<https://rwc.iacr.org/2017/Slides/david.mcgrew.pptx>.
[NAXOS] LaMacchia, Brian et al, ., "Stronger Security of
Authenticated Key Exchange", n.d.,
<https://www.microsoft.com/en-us/research/wp-
content/uploads/2016/02/strongake-submitted.pdf>.
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[RFC2104] Krawczyk, H., Bellare, M., and R. Canetti, "HMAC: Keyed-
Hashing for Message Authentication", RFC 2104,
DOI 10.17487/RFC2104, February 1997,
<https://www.rfc-editor.org/info/rfc2104>.
[RFC5869] Krawczyk, H. and P. Eronen, "HMAC-based Extract-and-Expand
Key Derivation Function (HKDF)", RFC 5869,
DOI 10.17487/RFC5869, May 2010,
<https://www.rfc-editor.org/info/rfc5869>.
[RFC6979] Pornin, T., "Deterministic Usage of the Digital Signature
Algorithm (DSA) and Elliptic Curve Digital Signature
Algorithm (ECDSA)", RFC 6979, DOI 10.17487/RFC6979, August
2013, <https://www.rfc-editor.org/info/rfc6979>.
[RY2010] Ristenpart, Yilek, ., "When Good Randomness Goes Bad|:|
Virtual Machine Reset Vulnerabilities and Hedging Deployed
Cryptography", n.d.,
<https://rist.tech.cornell.edu/papers/sslhedge.pdf>.
[SecAnalysis]
Akhmetzyanova, Cremers, Garratt, Smyshlyaev, ., "Security
Analysis for Randomness Improvements for Security
Protocols", n.d., <https://eprint.iacr.org/2018/1057>.
[SP80090A]
"Recommendation for Random Number Generation Using
Deterministic Random Bit Generators (Revised), NIST
Special Publication 800-90A, January 2012.", n.d.,
<National Institute of Standards and Technology>.
[X9.62] American National Standards Institute, ., "Public Key
Cryptography for the Financial Services Industry -- The
Elliptic Curve Digital Signature Algorithm (ECDSA). ANSI
X9.62-2005, November 2005.", n.d..
[X962] "Public Key Cryptography for the Financial Services
Industry -- The Elliptic Curve Digital Signature Algorithm
(ECDSA), ANSI X9.62-2005, November 2005.", n.d., <American
National Standards Institute>.
Authors' Addresses
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Cas Cremers
University of Oxford
Wolfson Building, Parks Road
Oxford
England
Email: cas.cremers@cs.ox.ac.uk
Luke Garratt
University of Oxford
Wolfson Building, Parks Road
Oxford
England
Email: luke.garratt@cs.ox.ac.uk
Stanislav Smyshlyaev
CryptoPro
18, Suschevsky val
Moscow
Russian Federation
Email: svs@cryptopro.ru
Nick Sullivan
Cloudflare
101 Townsend St
San Francisco
United States of America
Email: nick@cloudflare.com
Christopher A. Wood
Apple Inc.
One Apple Park Way
Cupertino, California 95014
United States of America
Email: cawood@apple.com
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