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What is american fuzzy lop?
American Fuzzy Lop, known as afl-fuzz, is a security-oriented fuzzer that employs a novel method of compile-time instrumentation combined with genetic algorithms to automatically create effective test cases, which can reveal hidden internal states within the binary under examination. This technique greatly improves the functional coverage of the fuzzed code. Moreover, the streamlined and synthesized test cases generated by this tool can prove invaluable for kickstarting other, more intensive testing methodologies later on. In contrast to numerous other instrumented fuzzers, afl-fuzz prioritizes practicality by maintaining minimal performance overhead while utilizing a wide range of effective fuzzing strategies that reduce the necessary effort. It is designed to require minimal setup and can seamlessly handle complex, real-world scenarios typical of image parsing or file compression libraries. As an instrumentation-driven genetic fuzzer, it excels at crafting intricate file semantics that are applicable to a broad spectrum of difficult targets, making it an adaptable option for security assessments. Additionally, its capability to adjust to various environments makes it an even more attractive choice for developers in pursuit of reliable solutions. This versatility ensures that afl-fuzz remains a valuable asset in the ongoing quest for software security.
What is Grammatech Proteus?
Proteus stands out as an innovative software testing tool that autonomously identifies and rectifies vulnerabilities while minimizing the risk of false positives, making it ideal for developers, testing organizations, and cybersecurity experts. It effectively uncovers potential threats from malicious files or network data, addressing a wide array of issues documented in the Common Weakness Enumeration (CWE). This adaptable solution caters to both Windows and Linux native binaries, broadening its accessibility across different systems. By adeptly integrating advanced binary analysis and transformation techniques, Proteus not only cuts costs but also enhances the efficiency and efficacy of software testing, reverse engineering, and ongoing maintenance tasks. Its robust features encompass binary analysis, mutational fuzzing, and symbolic execution, all performed without the necessity for source code, and it boasts a high-quality user interface for aggregating and presenting findings. Additionally, it provides sophisticated reporting on exploitability and reasoning, making it a valuable asset for use in both virtualized setups and on physical hardware, which ultimately strengthens security protocols. By guaranteeing thorough coverage of possible vulnerabilities, Proteus empowers teams to fortify their software applications against emerging threats, fostering a more secure digital landscape. Furthermore, the ongoing updates and improvements to its functionalities ensure that users remain equipped to handle future challenges in software security.
Integrations Supported
C++
Rust
C
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
Integrations Supported
C++
Rust
C
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
API Availability
Has API
API Availability
Has API
Pricing Information
Free
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
Company Location
United States
Company Website
github.com/google/AFL
Company Facts
Organization Name
Grammatech
Company Location
United States
Company Website
www.grammatech.com/cyber-security-solutions/proteus/
Categories and Features
Categories and Features
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