HCL AppScan VS Cppcheck
Compare HCL AppScan VS Cppcheck and see what are their differences
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HCL AppScan
Checkmarx
Appknox
Veracode
Coverity Scan
GitLab
Acunetix Vulnerability Scanner
Netsparker
Cppcheck
SonarQube
Clang Static Analyzer
Coverity Scan
Parasoft C/C++test
PVS-Studio
lgtm.com
Polyspace
HCL AppScan is a suite of application security testing platforms, technologies, and services that help organizations detect and remediate vulnerabilities throughout the software development lifecycle (SDLC). Powerful static, dynamic, interactive, and open-source scanning engines (DAST, SAST, IAST, SCA, API) quickly and accurately test code, web applications, APIs, mobile applications, containers, and open-source components with the help of AI and machine learning capabilities. Centralized dashboards provide visibility, oversight, compliance policies, and reporting. HCL AppScan’s scanning engines are maintained by expert security researchers and are continuously updated to remain current with recent technologies, vulnerabilities, and attack vectors. With HCL AppScan, organizations can manage their application security posture and reduce risk across their entire software supply chain.
HCL AppScan CppcheckBased on our record, Cppcheck seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end. - Source: dev.to / about 1 year ago
Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code. Source: almost 2 years ago
For my own projects, I used cppcheck. You can check out that tool to get a feel. Depending on what industry your in, you might need to follow a standard like Misra. Source: about 2 years ago
Https://cppcheck.sourceforge.io/ (there are many other static analysis tools, I just haven't used them or didn't care for them). Source: about 2 years ago
Sounds like something that could simply be communicated with the team that writes the tests. Unless you have dozens of such classes. In that case, you could just use e.g. Cppcheck and add a rule (regular expression) that searches for usages of the forbidden classes. Source: over 2 years ago
Checkmarx - The industry’s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Appknox - Appknox is a cloud-based mobile app security solution to detect threats and vulnerabilities in the app.
Clang Static Analyzer - The Clang Static Analyzer is a source code analysis tool that finds bugs in C, C++, and Objective-C...
Veracode - Veracode's application security software products are simpler and more scalable to increase the resiliency of your application infrastructure.
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free