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Formal-assisted Processor Fuzzing

Technique

Formal-assisted processor fuzzing is a hybrid hardware security verification technique that combines traditional processor fuzzing with formal verification tools to reach hard-to-cover design regions of modern CPU designs that pure fuzzing cannot efficiently exercise.

First seen 6/24/2026
Last seen 6/24/2026
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Formal-assisted Processor Fuzzing

Formal-assisted processor fuzzing is a hybrid verification methodology applied to hardware processor designs. It combines a coverage-guided hardware fuzzer with an underlying formal verification engine so that the formal component targets design regions that the fuzzer struggles to reach on its own, while the fuzzer handles the bulk of the input space exploration.

Motivation

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CITATIONS

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[1] Existing hardware fuzzers do not fuzz well the hard-to-reach design spaces and therefore cannot effectively fuzz security-critical control- and data-flow logic in processors, missing security vulnerabilities. HyPFuzz: Formal-Assisted Processor Fuzzing
[2] HyPFuzz is a hybrid fuzzer that leverages formal verification tools to help fuzz the hard-to-reach part of processors. HyPFuzz: Formal-Assisted Processor Fuzzing
[3] HyPFuzz uses a scheduling strategy to prevent under- or over-utilization of the capabilities of formal tools and fuzzers. HyPFuzz: Formal-Assisted Processor Fuzzing
[4] HyPFuzz develops heuristic strategies to select points in the design space for the formal tool to target. HyPFuzz: Formal-Assisted Processor Fuzzing
[5] HyPFuzz was evaluated on five widely-used open-source processors. HyPFuzz: Formal-Assisted Processor Fuzzing
[6] HyPFuzz detected all vulnerabilities detected by the most recent processor fuzzer and found three new vulnerabilities missed by previous fuzzing and formal verification, leading to two new CVE entries. HyPFuzz: Formal-Assisted Processor Fuzzing
[7] HyPFuzz achieves 11.68x faster coverage than the most recent processor fuzzer. HyPFuzz: Formal-Assisted Processor Fuzzing
[8] Traditional processor fuzzers such as DifuzzRTL and TheHuzz use code coverage and control-register coverage as feedback to guide mutation of randomly generated instruction seeds. ChatFuzz (DATA 2024 proceedings)
[9] Hybrid hardware fuzzers such as HyPFuzz and PSOFuzz combine fuzzers with formal tools and optimization algorithms to improve coverage, and inherit seed generation and mutation engines from traditional processor fuzzers such as TheHuzz. ChatFuzz (DATA 2024 proceedings)
[10] The seed generator and mutation engine in existing hybrid fuzzers can identify valid instructions from the ISA but lack well-defined feedback to determine a meaningful sequence of instructions that reaches deep design regions. ChatFuzz (DATA 2024 proceedings)