Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
FreeBSD
No
Fuchsia Service Maintenance Software
No
NetBSD
No
OpenBSD
No
Integrations
FreeBSD
Yes
Fuchsia Service Maintenance Software
Yes
NetBSD
Yes
OpenBSD
Yes
Pricing Details
$10 per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Filtering
Yes
Issue Tracking
Yes
Release Management
No
Task Management
No
Ticket Management
No
Workflow Management
No