fuzz.core, Intelligent Fuzz TestingAutomated fuzz testing for automotive systems, with intelligent input generation and detailed failure reporting. fuzz.core generates the inputs no one designed for, runs them against your target until something gives, catches the crashes and anomalies as they happen, and hands back a report that says what broke and how to reproduce it.
Your designed test cases cover the inputs you expected. Real systems break on the ones you didn't: malformed messages, edge-case timings, sequences nobody planned for. And in safety-relevant automotive software, an unhandled crash is more than a bug. It's both a security risk and a reliability one.
fuzz.core generates those unexpected inputs for you, automatically, mutating them and using coverage analysis to push deeper into your code, so it finds the weak spots before they ever reach the field.
fuzz.core DoesBuilds malformed, random and boundary-value inputs on its own, steered by the code paths the target has not exercised yet.
Drives those inputs at the target continuously, pushing it until something gives.
Catches crashes, hangs, resets, communication failures and abnormal responses as they occur.
Records system behaviour as the run happens, so you see what the target did and when.
Delivers logs, evidence and the exact input needed to reproduce every failure found.
Select the target and the attack category, such as CAN/UDS, a wireless stack, an update package or an API.
Automatically generate malformed, random and boundary-value inputs.
Send the generated inputs to the target while continuously monitoring system behaviour.
Identify crashes, hangs, resets, communication failures and abnormal responses.
Generate detailed reports with logs, evidence, reproducible inputs and analysis.
fuzz.core Fitsfuzz.core lives in the Testing Layer alongside pentest.core. What it finds feeds threat.core and your remediation backlog.
What you get
Want a scoped, expert-run fuzzing engagement? See our Fuzz Testing service
fuzz.core, Common QuestionsIt mutates inputs using coverage analysis as a guide, so it steers toward the code paths it hasn't reached yet, instead of firing off random noise. That's how it reaches the deeper bugs, faster.
In-vehicle protocols (CAN, UDS, DoIP), wireless stacks, file and message parsers, and backend APIs.
Yes. fuzz.core saves the input that triggered each crash, so every finding comes with a reproducible test case.
They complement each other. Fuzzing finds input-handling and memory faults, while penetration testing chases goal-driven exploitation. A solid programme uses both.
Book a session and we'll point fuzz.core at the interfaces that matter most for your product, then hand back reproducible, prioritised findings you can actually fix.