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STIMSMITH

HyPFuzz

Tool
First seen 6/11/2026
Last seen 8/27/2026
Evidence 16 chunks

NEIGHBORHOOD

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RELATIONSHIPS

22 connections
Formal Verification implements → 100% 3e
HyPFuzz couples a formal verifier with a fuzzer for processor verification.
hardware fuzzing implements → 90% 2e
HyPFuzz is a hardware fuzzer used to generate seeds.
Cascade ← compares with 85% 2e
Cascade discovers bugs undetected by HypFuzz
The paper mentions HypFuzz as a related tool that Cascade outperforms.
The paper mentions HyPFuzz as a related work combining formal verification with fuzzing.
Processor Fuzzing implements → 100% 1e
HyPFuzz is a formal-assisted processor fuzzing tool.
The paper cites HyPFuzz as related work.
CVA6 evaluates → 95% 1e
HypFuzz is evaluated against vulnerabilities found in CVA6.
fence.i Instruction evaluates → 90% 1e
HypFuzz detects the incorrect decoding of FENCE.I instruction vulnerability in CVA6.
cache coherency violation evaluates → 90% 1e
HypFuzz detects the cache coherency violation vulnerability in CVA6.
TheHuzz uses → 100% 1e
HyPFuzz couples with TheHuzz by sharing seeds.
illegal instruction execution evaluates → 90% 1e
HypFuzz detects the illegal instruction execution vulnerability in CVA6.
instruction queue exception evaluates → 90% 1e
HypFuzz detects the incorrect exception type in instruction queue vulnerability.
WhisperFuzz ← uses 100% 1e
WhisperFuzz uses HyPFuzz to generate seeds for its Operand mutator.
invalid address exception evaluates → 90% 1e
HypFuzz detects the incorrect exception while accessing invalid address vulnerability.
multiply instruction decoding evaluates → 90% 1e
HypFuzz detects the incorrect decoding of multiply instructions vulnerability.
CSR X-value access evaluates → 90% 1e
HypFuzz detects the CSR X-value access vulnerability in CVA6.
stimulus-driven hardware fuzzing uses → 75% 1e
HypFuzz is a hardware fuzzing tool that uses stimulus-driven fuzzing techniques.
Hybrid hardware fuzzing implements → 90% 1e
It integrates formal tools with fuzzing to improve coverage.
TheHuzz compares with → 95% 1e
TheHuzz and HypFuzz are compared in terms of test cases needed to detect CVA6 vulnerabilities.
Fine-Grained Code Analysis for Processor Fuzzing ← compares with 80% 1e
The paper compares its approach against HyPFuzz.
JasperGold uses → 90% 1e
HyPFuzz integrates JasperGold as a formal tool to assist fuzzing.