Some bugs only show up when you feed a system inputs it never expected. That's exactly what fuzztest.core does, at scale, surfacing crashes, memory leaks and undefined behaviour in your embedded systems before they reach production.
ISO/SAE 21434 identifies fuzz testing as a verification method for the integration and validation of components. Fuzz testing exercises a communication interface with large volumes of malformed, unexpected and out-of-sequence inputs to establish whether the implementation handles them without failure.
In automotive systems a failure under malformed input is a security weakness and may also be a safety and reliability concern. The test scope is defined per protocol and interface from the item definition, and findings are reported with the triggering input, the observed behaviour, severity and the remediation to be verified. Retesting confirms closure.
CAN/CAN-FD, UDS and DoIP, fuzzed at the protocol level. We push malformed frames and unexpected message sequences at the bus to find the states an ECU was never written to handle.
Bluetooth, Wi-Fi and cellular stacks, exercised the way a nearby attacker would reach them. These are the interfaces that are live without anyone touching the vehicle, so they earn the deepest campaigns.
Update packages, media files and V2X messages, all of which are parsed from data the vehicle did not create. Parsers are where malformed input turns into memory corruption, so we fuzz them hard.
Telematics and cloud endpoints, fuzzed at the request and payload level. The backend is part of the vehicle's attack surface, so it gets the same treatment as anything on the bus.
fuzztest.corefuzztest.core powers it all: automated fuzzing, intelligent input mutation, coverage analysis to reach deep code paths, and crash detection with triage, so you fix what matters first.
You get reproducible crash cases, coverage metrics, root-cause indicators and remediation guidance, plus evidence you can fold straight into your ISO/SAE 21434 and UN R155/R156 work.
A prioritised crash report · reproducible test cases · coverage analysis · remediation guidance.
fuzztest.core automates the input mutation and execution, using coverage analysis to reach deeper code paths, while our engineers triage and root-cause what it finds.Book a session and we'll fuzz the interfaces that matter most for your product, then hand back reproducible, prioritised findings you can act on.