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ease
features
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support

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Description

Introducing BreakingPoint, a solution that emulates authentic traffic patterns, distributed denial of service (DDoS) attacks, exploits, malware, and fuzzing techniques to assess and fortify an organization's security framework. By implementing BreakingPoint, organizations can diminish the likelihood of network degradation by nearly 80% while enhancing their attack preparedness by around 70%. Furthermore, with the introduction of our innovative TrafficREWIND feature, users can achieve even more precise and high-fidelity validation by incorporating insights from production networks into the test traffic configurations of BreakingPoint. This tool effectively simulates both legitimate and malicious traffic, allowing for the validation and optimization of networks under highly realistic scenarios. Additionally, BreakingPoint supports high-scale verification of security infrastructures, resulting in improved usability, increased agility, and expedited network testing processes. Ultimately, BreakingPoint stands as a vital resource for organizations seeking to enhance their cybersecurity posture.

Description

LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer

Integrations

Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Keysight Technologies

Founded

2014

Country

United States

Website

www.keysight.com/mx/en/products/network-security/breakingpoint.html

Vendor Details

Company Name

LLVM Project

Founded

2003

Website

llvm.org/docs/LibFuzzer.html

Product Features

Network Security

Access Control
Analytics / Reporting
Compliance Reporting
Firewalls
Internet Usage Monitoring
Intrusion Detection System
Threat Response
VPN
Vulnerability Scanning

Product Features

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