Test harness and code coverage
Build a harness that exercises a parser or protocol in isolation. Establish seed inputs and measure executed code. Coverage-guided fuzzing uses that information to explore states ordinary tests may not reach.
Fuzzing as a Service
We automatically test components with varied and unexpected inputs, analysing failures to uncover defects that routine checks may miss.
01 / ASSESSMENT
Fuzzing exposes software to many unusual inputs to discover failures. Prepare the test harness, seed inputs and coverage tracking, then deduplicate crashes. Deliver significant failures with reproducible examples and root-cause analysis.
PRACTICAL SCENARIOS / TTP
TTPs are an adversary’s tactics, techniques and procedures. We analyse these approaches and select scenarios for your environment and the scope agreed in writing, connecting each assessment result to practical defensive guidance.
Build a harness that exercises a parser or protocol in isolation. Establish seed inputs and measure executed code. Coverage-guided fuzzing uses that information to explore states ordinary tests may not reach.
Use AFL++, libFuzzer or target-appropriate tooling to exercise unusual inputs. Sanitizers reveal memory misuse. A crash is not automatically a vulnerability: assess its cause, reproducibility and security impact separately.
Deduplicate failures with the same cause. Isolate the smallest reproducer, version and execution conditions. Retest after remediation and deliver the example for automated regression coverage.
02 / OUTCOMES
Work proceeds under the system owner’s written authorisation, a contract and a confidentiality agreement. Assets, methods, timing, stop conditions and data handling are defined before work begins.
Send your requirements through CyberTrust. We will clarify asset count, assessment depth and expected outcomes with you, then set out timing and pricing in the proposal.