Syhunt as Alternative to Snyk
This document compares key functionality and scan capabilities of two industry-leading products: Syhunt Hybrid and Snyk Code. The comparison is of particular interest for those undecided between the two products and for those seeking for an alternative to Snyk.
Background
Both Syhunt and Snyk are industry-leading application security companies. Syhunt is a pioneer application security provider founded in 2003 while Snyk was founded in 2015. Since 2008, Syhunt offers DAST and SAST capabilities (Syhunt Code), which has been expanding heavily since then, and in 2019, added MAST capabilities (Syhunt Mobile). Syhunt's OAST capabilities (Syhunt Signal), unveiled in 2020, integrate with Syhunt's SAST capabilities to provide hybrid-augmented security analysis. Snyk in comparison is known for its SCA (Software Composition Analysis) capabilities (known as Snyk Open Source) and added cloud-based, AI-powered SAST capabilities at the end of 2020 (known as Snyk Code). Both Syhunt and Snyk use artificial intelligence to augment their solutions in different ways.
Comparison
The table below offers a closer look at the different testing methodologies and features of Syhunt Hybrid and Snyk Code and why Syhunt can best suit the application security needs of an organization.
Feature | Syhunt Hybrid Platinum Plus | Snyk Business | Snyk Enterprise |
Delivery | On-Premises | Cloud-Based | Cloud-Based with Self-Hosted Option |
Source Code Scanning | Self-Managed and Cloud | Cloud Only | Self-Managed and Cloud |
Unlimited Code Scanning | |||
White-Box Vulnerability Testing | SAST, MAST & FAST | SAST, SCA | SAST, SCA |
Black-Box Vulnerability Testing | DAST & OAST (Syhunt Signal) | ||
Augmented Vulnerability Testing | HAST (Hybrid-Augmented Analysis) | Snyk Code AI | Snyk Code AI |
Language Support for SAST | PHP, ASP, ASP.NET, Delphi, Java, Node.js, Lua, Perl, Python, Ruby & TypeScript Swift, Objective-C, C & C++ (Mobile) | Java, JavaScript, TypeScript & Python Additional languages for SCA analysis | Java, JavaScript, TypeScript & Python Additional languages for SCA analysis |
MEAN Stack Coverage | MongoDB, Express.js, Angular, and Node.js | ||
Detect Mobile Vulnerabilities | iOS & Android | ||
SCA License Compliance Testing | |||
Priority Scoring | CVSS3 & CVSS2 scoring | Snyk's Priority Scoring | Snyk's Priority Scoring |
Compliance Reports | PCI-DSS, CWE/SANS, WASC, and more | ||
Integrations | |||
Cloud Source Code Scanning (GitHub, GitLab, BitBucket, Azure DevOps Services, etc) | |||
Self-Managed Source Code Scanning (GitHub Enterprise, GitLab Enterprise, Azure DevOps Server, etc) | |||
IDE Plugins (VS Code, Visual Studio, Eclipse, etc) See results as you code | |||
Jira Integration | |||
Continuous Integration | GitHub, GitLab & Jenkins | Jenkins | Jenkins |
WAF Virtual Patching | Big IP ASM, Imperva, ModSecurity, XML Export | ||
Integration APIs | CLI, REST API & Lua API | CLI & REST API | CLI & REST API |
SCA
Software Composition Analysis (SCA) is a methodology that detects vulnerabilities in open-source components and license compliance issues in projects.