FUZZ TESTING

FUZZ

Automated Fuzz Testing

Find unknown vulnerabilities and validate known issues in software and protocols with generative mutation

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FUZZ INTELLIGENCEIllustrative workflow

INPUT GENERATION

SEED / REQUEST

Valid input32 · 00 · 00…00

CASE 01Length

32→0

CASE 02Value

0→255

CASE 03Payload

00…00→FF…FF

GENERATE → MUTATE → TESTTrigger isolated

↔TEST TARGET / 01

BLACK-BOX TESTING

protocol-01

Software & protocol target

RUNTIME MONITOR

Observing target behavior03 Initial event03 Reproduced

↻ REPLAY / CASE 03

TEST EVIDENCECASE 03 ↗

Runtime anomaly

Anomaly reproduced

PAYLOAD00…00 → FF…FF

Target: protocol-01
Initial test: TIMEOUT
Same-input replay: TIMEOUT

Illustrative fuzz testing, not a live test. Inputs and the target are fictional examples. Length, value and payload variants are generated from a valid input. CASE 03 triggers a timeout, which recurs on replay of the same input. Input and monitoring evidence are collected for further review. A runtime anomaly is not a confirmed vulnerability; this illustration does not imply automatic repair or guaranteed test outcomes.

Fuzz test case generation: Generative engine
Mutation types: 100+
Supported protocols and file formats: Dozens
Testing, monitoring and reporting: End-to-end

PRODUCT OVERVIEW

From program boundariesto vulnerability validation

FUZZ is a high-performance black-box fuzzing platform for automotive and industrial control systems. Its generative mutation engine uncovers deep defects and unknown vulnerabilities

Connect abnormal inputs, real-time monitoring and reports to test software robustness, protocol interactions and vulnerabilities, and support issue analysis and fix validation

CORE CAPABILITIES

Core capabilities

03 GROUPS / 03 CAPABILITIES

Software robustness & boundary testing

Generate large volumes of abnormal inputs and boundary cases to test software behavior under extreme conditions

Monitor runtime anomalies in real time to locate issues and accelerate root-cause analysis, improving stability and reliability

01 / ROBUSTNESS TESTING

From abnormal inputs to runtime behavior

GENERATIVE ENGINEAbnormal inputs & boundary cases

Abnormal inputBoundary conditionsExtreme cases

TARGETSoftware execution

RUNTIME MONITORINGCapture anomalies

INVESTIGATIONRoot-cause analysis

ROBUSTNESSObserved anomalies require analysis before being classified as vulnerabilities

Conceptual illustration · Not actual analysis results

Protocol analysis & interface hardening

Audit protocol interactions in real time with high-fidelity malicious inputs to uncover implementation logic defects and interface vulnerabilities

Test standard and proprietary protocols to support end-to-end communication security

02 / PROTOCOL & INTERFACE SECURITY

Inspect implementation behavior through protocol interactions

STANDARD PROTOCOLSStandard protocols

PROPRIETARY PROTOCOLSProprietary protocols

INTERACTION TESTINGMalicious-input testing & real-time auditing

IMPLEMENTATIONUnderlying logic defects

INTERFACEInterface vulnerabilities

HARDENINGSupport end-to-end communication channel hardening

Conceptual illustration · Not actual analysis results

Vulnerability discovery & validation

Connect exploratory testing for unknown vulnerabilities, targeted validation of known issues and regression testing of fixes

Discover unknown vulnerabilities

Explore runtime behavior and paths beyond traditional static analysis to find zero-days and other hard-to-detect defects

Validate known vulnerabilities

Check reproducibility with targeted tests, then run regression checks on known vulnerabilities and fixes

03 / DISCOVERY & VALIDATION

Explore unknown vulnerabilities and validate known issues

DISCOVERY

UNKNOWN ISSUESExploratory testing

NEW FINDINGSDeep defects & unknown vulnerabilities

VALIDATION

KNOWN ISSUESTargeted testing

REPRODUCE & RETESTReproduce issues & test fixes

VALIDATION LOOPConnect discovery, analysis and fix validation

Conceptual illustration · Not actual analysis results

USE CASES

Use cases

01 — 04

Security in development

Integrate automated fuzzing into CI/CD and key development stages to find deep vulnerabilities earlier and reduce remediation cost and time

Pre-release security testing

Run systematic black-box tests on complex protocols and file formats before release, assessing security and robustness under extreme and malformed inputs

Third-party component acceptance

Standardize acceptance of third-party and outsourced components. Independently test libraries and closed-source software to reduce supply-chain attacks and undisclosed vulnerability risks and support transparent asset governance

Market entry & compliance

Provide comprehensive fuzzing reports for UN R155/R156 assessments, supporting security validation, certification and international market entry

See FUZZ in action

See how unexpected inputs reveal issues in software, devices and communication interfaces, and how to reproduce them.

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