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What is beSTORM?

Discovering and certifying security vulnerabilities in various products is achievable without the need for source code, thanks to beSTORM, which can test any protocol or hardware, including those utilized in IoT, process control, and CANbus-compatible automotive and aerospace systems. The platform enables real-time fuzzing without requiring source code access, and it does not necessitate downloading any cases, streamlining the process with a single user interface. With over 250 pre-built protocol testing modules available, users can also develop custom and proprietary modules tailored to their specific needs. It is crucial to identify security weaknesses prior to product deployment, as these are typically the vulnerabilities that external actors exploit after the product has been released. Users can certify vendor components and applications within their testing facilities, benefiting from software module self-learning and proprietary testing capabilities. The system offers scalability and customization, catering to businesses of all sizes while automating the creation and delivery of virtually limitless attack vectors. Additionally, it allows for the documentation of product failures, capturing every pass/fail instance, and enabling the precise engineering of commands that triggered each failure, ultimately enhancing overall security measures. This comprehensive approach ensures that potential security issues are addressed proactively, making systems more robust against future threats.

What is LibFuzzer?

LibFuzzer is an in-process engine that employs coverage-guided techniques for evolutionary fuzzing. By integrating directly with the library being tested, it injects generated fuzzed inputs into a specific entry point or target function, allowing it to track executed code paths while modifying the input data to improve code coverage. The coverage information is gathered through LLVM’s SanitizerCoverage instrumentation, which provides users with comprehensive insights into the testing process. Importantly, LibFuzzer is continuously maintained, with critical bugs being resolved as they are identified. To use LibFuzzer with a particular library, the first step is to develop a fuzz target; this function takes a byte array and interacts meaningfully with the API under scrutiny. Notably, this fuzz target functions independently of LibFuzzer, making it compatible with other fuzzing tools like AFL or Radamsa, which adds flexibility to testing approaches. Moreover, combining various fuzzing engines can yield more thorough testing results and deeper understanding of the library's security flaws, ultimately enhancing the overall quality of the code. The ongoing evolution of fuzzing techniques ensures that developers are better equipped to identify and address potential vulnerabilities effectively.

Media

Media

Integrations Supported

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer

Integrations Supported

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer

API Availability

Has API

API Availability

Has API

Pricing Information

$50,000.00/one-time
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Beyond Security (Fortra)

Date Founded

1999

Company Location

United States

Company Website

beyondsecurity.com/solutions/bestorm-dynamic-application-security-testing.html

Company Facts

Organization Name

LLVM Project

Date Founded

2003

Company Website

llvm.org/docs/LibFuzzer.html

Categories and Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

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