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Description
Quickly identify the precise moments and reasons behind your application's crashes, resolving issues in mere minutes without the hassle of sifting through extensive logs. Gain access to current crash analytics that provide comprehensive details such as stack traces, file names, line numbers, and other crucial exception information. With just one click, you can also uncover similar errors, ensuring you're not missing any recurring problems. By monitoring 24-hour trends, you can confirm that your recent production updates are not introducing unforeseen complications into your application. It's essential to stay ahead of potential difficulties that your users might face. ErrorStream.com addresses the challenges of error logging in distributed systems, eliminating the need for daily log file analysis that can consume hours of your time. Our tailored packages allow for seamless integration in just minutes, requiring no coding expertise. The well-documented API ensures ease of use, enabling you to track occurrences and frequency of errors effortlessly. This insight allows you to maximize the effectiveness of your development initiatives. Many of our clients have reported significant revenue increases from gaining a deeper understanding of their applications and addressing issues promptly. Overall, leveraging our platform can greatly enhance your operational efficiency and user satisfaction.
Description
Syzkaller functions as an unsupervised, coverage-guided fuzzer aimed at exploring vulnerabilities within kernel environments, offering support for various operating systems such as FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Originally designed with a focus on fuzzing the Linux kernel, its capabilities have been expanded to encompass additional operating systems over time. When a kernel crash is identified within one of the virtual machines, syzkaller promptly initiates the reproduction of that crash. By default, it operates using four virtual machines for this reproduction process and subsequently works to minimize the program responsible for the crash. This reproduction phase can temporarily halt fuzzing activities, as all VMs may be occupied with reproducing the identified issues. The duration for reproducing a single crash can vary significantly, ranging from mere minutes to potentially an hour, depending on the complexity and reproducibility of the crash event. This ability to minimize and analyze crashes enhances the overall effectiveness of the fuzzing process, allowing for better identification of vulnerabilities in the kernel.
API Access
Has API
API Access
Has API
Integrations
FreeBSD
Fuchsia Service Maintenance Software
NetBSD
OpenBSD
Pricing Details
$10 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ErrorStream
Country
United States
Website
www.errorstream.com
Vendor Details
Company Name
Country
United States
Website
github.com/google/syzkaller
Product Features
Bug Tracking
Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management