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Moderate EPSS: 0.00011% (0.01026 Percentile) EPSS:

curve25519-dalek has timing variability in `curve25519-dalek`'s `Scalar29::sub`/`Scalar52::sub`

Affected Packages Affected Versions Fixed Versions
cargo:curve25519-dalek < 4.1.3 4.1.3
290 Dependent packages
10,039 Dependent repositories
85,789,971 Downloads total

Affected Version Ranges

All affected versions

0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.2.0, 0.3.0, 0.4.0, 0.5.0, 0.6.0, 0.7.0, 0.7.1, 0.8.0, 0.8.1, 0.9.0, 0.9.1, 0.9.2, 0.9.3, 0.10.0, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.14.0, 0.14.1, 0.14.3, 0.14.4, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.16.2, 0.16.3, 0.16.4, 0.17.0, 0.18.0, 0.19.0, 0.19.1, 0.20.0, 0.21.0, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 2.0.0, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.1.0, 3.1.1, 3.1.2, 3.1.3, 3.2.0, 3.2.1, 4.0.0, 4.1.0, 4.1.1, 4.1.2

All unaffected versions

4.1.3, 4.2.0

Timing variability of any kind is problematic when working with potentially secret values such as elliptic curve scalars, and such issues can potentially leak private keys and other secrets. Such a problem was recently discovered in curve25519-dalek.

The Scalar29::sub (32-bit) and Scalar52::sub (64-bit) functions contained usage of a mask value inside a loop where LLVM saw an opportunity to insert a branch instruction (jns on x86) to conditionally bypass this code section when the mask value is set to zero as can be seen in godbolt:

A similar problem was recently discovered in the Kyber reference implementation:

https://groups.google.com/a/list.nist.gov/g/pqc-forum/c/hqbtIGFKIpU/m/cnE3pbueBgAJ

As discussed on that thread, one portable solution, which is also used in this PR, is to introduce a volatile read as an optimization barrier, which prevents the compiler from optimizing it away.

The fix can be validated in godbolt here:

The problem was discovered and the solution independently verified by Alexander Wagner alexander.wagner@aisec.fraunhofer.de and Lea Themint lea.thiemt@tum.de using their DATA tool:

https://github.com/Fraunhofer-AISEC/DATA

References: