Turned on machine, started active + passive discovery of domains and all in-scope assets of . Used many tools like Sublist3r, Amass, findomain, subfinder, etc.
Hello peeps ๐ฅ
This article is all about utilizing my lock-down time in finding bugs under a private program whose name has to be redacted here. โโโโโโs program is active since years with list of professional & responsible hackers named in their *Hall Of Fame *till todayโs year. Still I managed to find multiple XSS and escalated impact of one XSS to sensitive data stealing. So letโs get started ๐ค.
Note: This article wants to help new-comers to understand impact escalation and get in-depth knowledge for XSS vulnerabilities.
Turned on machine, started active + passive discovery of domains and all in-scope assets of โโโโโ. Used many tools like _Sublist3r, Amass, findomain, subfinder, etc. _At last I merged all outputs and made one list.
I believe less in automation testing and laziness ๐ so I sorted the list and probed them all. Visited each domain one-by-one and ffufed domains which seemed potentially juicy to me. This game goes on.
After 2 days of manually doing everything, for a domain I got a good list of endpoints using waybackurls, used Arjun to find valid parameters and then got a beautiful reflection ๐.
bug-bounty pentesting bug-hunting infosec data visualization
Visual Analytics and Advanced Data Visualization - How CanvasJS help enterprises in creating custom Interactive and Analytical Dashboards for advanced visual analytics for data visualization
Visualization Best Practices for Data Scientists. Disclaimer: The ideas presented in this article are from the book: Story Telling With Data by Cole Nussbaumer Knaflic.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
The Importance of Data Visualization - It is the process of converting raw data at hand into easy and understandable image-photo-graphics for fast, effective and accurateโฆ
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.