Pith. sign in

REVIEW 1 cited by

WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2402.03704 v2 pith:VALZYCG5 submitted 2024-02-06 cs.CR

classification cs.CR
keywords vulnerabilitiestimingprocessorswhisperfuzzcoveragefuzzingmicroarchitecturalstate
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Timing vulnerabilities in processors have emerged as a potent threat. As processors are the foundation of any computing system, identifying these flaws is imperative. Recently fuzzing techniques, traditionally used for detecting software vulnerabilities, have shown promising results for uncovering vulnerabilities in large-scale hardware designs, such as processors. Researchers have adapted black-box or grey-box fuzzing to detect timing vulnerabilities in processors. However, they cannot identify the locations or root causes of these timing vulnerabilities, nor do they provide coverage feedback to enable the designer's confidence in the processor's security. To address the deficiencies of the existing fuzzers, we present WhisperFuzz--the first white-box fuzzer with static analysis--aiming to detect and locate timing vulnerabilities in processors and evaluate the coverage of microarchitectural timing behaviors. WhisperFuzz uses the fundamental nature of processors' timing behaviors, microarchitectural state transitions, to localize timing vulnerabilities. WhisperFuzz automatically extracts microarchitectural state transitions from a processor design at the register-transfer level (RTL) and instruments the design to monitor the state transitions as coverage. Moreover, WhisperFuzz measures the time a design-under-test (DUT) takes to process tests, identifying any minor, abnormal variations that may hint at a timing vulnerability. WhisperFuzz detects 12 new timing vulnerabilities across advanced open-sourced RISC-V processors: BOOM, Rocket Core, and CVA6. Eight of these violate the zero latency requirements of the Zkt extension and are considered serious security vulnerabilities. Moreover, WhisperFuzz also pinpoints the locations of the new and the existing vulnerabilities.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Accelerating Hardware Verification with Graph Models

    cs.CR 2024-12 reject novelty 4.0 of 10

    GraphFuzz trains a graph recurrent neural network on gate-level netlists to predict gate values, but its bug detection claims are not backed by true detection experiments.

Pith tools