Papers
Topics
Authors
Recent
Search
2000 character limit reached

SHIFT SNARE: Uncovering Secret Keys in FALCON via Single-Trace Analysis

Published 1 Apr 2025 in cs.CR | (2504.00320v2)

Abstract: This paper presents a novel singletrace sidechannel attack on FALCON a latticebased postquantum digital signature protocol recently approved for standardization by NIST We target the discrete Gaussian sampling operation within FALCONs key generation scheme and demonstrate that a single power trace is sufficient to mount a successful attack Notably negating the results of a 63bit rightshift operation on 64bit secret values leaks critical information about the assignment of 1 versus 0 to intermediate coefficients during sampling These leaks enable full recovery of the secret key We demonstrate a groundup approach to the attack on an ARM CortexM4 microcontroller executing both the reference and optimized implementations from FALCONs NIST round 3 software package We successfully recovered all of the secret polynomials in FALCON We further quantify the attackers success rate using a univariate Gaussian template model providing generalizable guarantees Statistical analysis with over 500000 tests reveals a percoefficient success rate of 999999999478 and a fullkey recovery rate of 9999994654 for FALCON512 We verify that this vulnerability is present in all implementations included in FALCONs NIST submission package This highlights the vulnerability of current software implementations to singletrace attacks and underscores the urgent need for singletrace resilient software in embedded systems

Authors (2)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 3 tweets with 8 likes about this paper.