Boozang
It works: Codeless testing
Give your entire team the ability to create and maintain automated tests. Not just developers.
Meet your testing demands fast. You can get full coverage of your tests in days and not months.
Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures.
Continuous Testing is a key component of Agile/DevOps. Push features to production in the same day.
Boozang supports the following test approaches:
- Codeless Record/Replay interface
- BDD / Cucumber
- API testing
- Model-based testing
- HTML Canvas testing
The following features makes your testing a breeze
- In-browser console debugging
- Screenshots to show where test fails
- Integrate to any CI server
- Test with unlimited parallel workers to speed up tests
- Root-cause analysis reports
- Trend reports to track failures and performance over time
- Test management integration (Xray / Jira)
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JAMS
JAMS serves as a comprehensive solution for workload automation and job scheduling, overseeing and managing workflows critical to business operations. This enterprise-grade software specializes in automating IT tasks, accommodating everything from basic batch jobs to intricate cross-platform workflows and scripts. JAMS seamlessly integrates with various enterprise technologies, enabling efficient, unattended job execution by allocating resources to execute jobs in a specific order, set time, or in response to specific triggers. With its centralized console, JAMS allows users to define, manage, and monitor essential batch processes effectively. Whether you’re executing straightforward command lines or orchestrating complex multi-step tasks that utilize ERPs, databases, and business intelligence tools, JAMS is designed to streamline your organization’s scheduling needs. Additionally, the software simplifies the transition of tasks from platforms like Windows Task Scheduler, SQL Agent, or Cron through built-in conversion tools, ensuring that jobs continue to run smoothly without requiring substantial effort during migration. Overall, JAMS empowers businesses to optimize their job scheduling processes efficiently and effectively.
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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.
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Awesome Fuzzing
Awesome Fuzzing serves as a comprehensive compilation of resources for those interested in the field of fuzzing, encompassing an array of materials such as books, both free and paid courses, videos, tools, tutorials, and vulnerable applications ideal for hands-on practice to enhance one's understanding of fuzzing and the early stages of exploit development, including root cause analysis. It features instructional videos focused on fuzzing methodologies, essential tools, and recommended practices, alongside conference presentations, tutorials, and blogs dedicated to the subject. Additionally, it includes software tools that facilitate fuzzing of applications, particularly those utilizing network protocols like HTTP, SSH, and SMTP. Users are encouraged to search for and select exploits linked to downloadable applications, where they can then recreate the exploits with their preferred fuzzer. The resource also encompasses a range of tests tailored for fuzzing engines, highlighting various well-known vulnerabilities and providing a corpus of diverse file formats to enable fuzzing across multiple targets found in the existing fuzzing literature. Ultimately, this collection aims to empower learners with the necessary knowledge and skills to effectively engage with fuzzing techniques and develop their expertise in security testing.
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