Jazzer Description
Jazzer, created by Code Intelligence, is a coverage-guided fuzzer designed for the JVM platform that operates within the process. It draws inspiration from libFuzzer, incorporating several of its advanced mutation features powered by instrumentation into the JVM environment. Users can explore Jazzer's autofuzz mode via Docker, which autonomously produces arguments for specified Java functions while also identifying and reporting any unexpected exceptions and security vulnerabilities that arise. Additionally, individuals can utilize the standalone Jazzer binary available in GitHub release archives, which initiates its own JVM specifically tailored for fuzzing tasks. This flexibility allows developers to effectively test their applications for robustness against various edge cases.
Jazzer Alternatives
qTest
Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.
Learn more
Adobe PDF Library SDK
Global OEMs, SaaS and enterprise end-users rely on Adobe PDF Library to automate the creation, editing and management of PDFs. An Adobe partner, our SDK uses the same source code as Acrobat for stability, reliability and quality results.
Languages: .NET, .NET Framework, Java and C/C++
Platforms: Windows, Linux & MacOS
Package managers: NuGet & Maven
Capabilities include but are not limited to:
-Annotations
-Content creation
-Content modification
-Color management
-Extraction - text, images, forms
-Compression/optimize
-Conversion - PDF/A, PDF/X, EPS, PostScript, XPS, ZUGFeRD, color
-Display, Printing
-Extract text, images & other content
-Forms - Import, export, flatten static & dynamic XFA forms, AcroForms
-Images - extract, import/export, thumbnails, render/rasterize pages, separations
-Optimization - size, content, images, etc.
-OCR - add text to document, add text to image
-PDF to Office Documents (Word, Excel, PPT)
-Security - Viewer settings, redactions, password, encrypt/decryption, watermark
Pricing options for OEMs, SaaS & end-users are flexible and based on usage.
Shorten development times & get to market faster with Adobe PDF Library. Free trial - download today.
Learn more
american fuzzy lop
American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.
Learn more
LibFuzzer
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.
Learn more
Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
Company Details
Company:
Code Intelligence
Headquarters:
Germany
Website:
github.com/CodeIntelligenceTesting/jazzer
Media
Recommended Products
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Product Details
Platforms
Windows
Mac
Linux
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Online Support
Jazzer Features and Options
Jazzer User Reviews
Write a Review- Previous
- Next