Increase Product Security and Reliability

Automate 0-day vulnerability and bug hunting

FuzzLabs utilizes a form of negative testing called fuzz testing. Fuzzing is the most efficient form of dynamic testing to identify yet unknown vulnerabilities and bugs in software. A complex network of algorithms work together to produce specially crafted test cases to trigger unintended behavior during the testing process. 

Unintended behavior can be a wide variety of things, such as different kinds of zero-day vulnerabilities, resource exhaustion, unexpected edge cases, unhandled exceptions, and component interoperability issues. Common between these issues is their negative impact on confidentiality, integrity, availability, or all of these combined.

Specialized in Testing Custom/Proprietary

Even a product built on top of industry standards has a thick custom and proprietary layer that makes it different from any other. Most bugs and vulnerabilities are within this unique layer. Efficiently testing this layer requires a solution like FuzzLabs that can be easily adapted to the target under test.

Extreme Flexibility

The unique design of FuzzLabs allows for extreme flexibility and extensibility. All mission-critical capabilities, from the test generation algorithms to the test delivery and target monitoring capabilities, can be easily extended to adapt FuzzLabs to your needs.

Programming Language Agnostic

FuzzLabs tests products from an attacker's perspective and works based on information that an attacker could observe without having access to the source code. Because of this, FuzzLabs does not require the source code to be available, refactored, or compiled in a specific way.

Powerful Test Case Generation

FuzzLabs is a generation-based fuzzer at its core. Still, it can utilize other test case generation methods or combinations to match your needs or style.


The most powerful test generation method based on templates describing structured data. The right choice to deal with stateful protocols, encrypted, compressed, checksum-protected messages or message blocks, and arbitrary field or block transformations.


Generate test cases by mutating an arbitrary blob of data. This method is quite limited in capabilities, but allows for a quick start at the expense of precision and test coverage.


Generate test cases by combining generation-based and mutation-based algorithms. This method allows for a quick start and to gradually improve accuracy and test coverage to find more and more issues.

No Code | Low Code

The Visual Protocol Modeler of FuzzLabs enable quick and efficient creation and customization of test cases. It provides transparency, drastically improves efficiency and reduces errors by eliminating the need to write code.

Vertical and Horizontal Scaling

FuzzLabs provides flexible deployment options to scale your fuzz testing operations.

Flexible Deployment

Deploy it on a single-host, or spread across the enterprise. FuzzLabs can quickly scale to your needs.

Testing at Scale

Each Attack Simulation Engine deployed is capable of testing numerous targets simultaneously.

Reducing Test Run Time

Distribute generated test cases across multiple instances of the same target to reduce the overall test run time.

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Try FuzzLabs in your own environment