This feature is an optional tool used by programs that have decided to share additional information with researchers on the program brief. Therefore, researchers will only be able to see Known Issues if the feature has been enabled. Not all programs will share this information with researchers.
To provide you with better visibility into the types of issues that have already been reported by other researchers, you can review the known issues for each target. You should review the known issues to get a better understanding of the areas of target that have already been well-tested and areas that may provide better opportunities for you to contribute your work and get rewarded. This level of insight is extremely useful because it can help you reduce the likelihood of submitting a duplicate report.
Known issues are grouped by target and categorized by VRT classification. Any issue with a status of triaged, unresolved, won't fix or duplicate is counted as a known issue. You can drill down into the issues based on their VRT classification.
You can find known issues insights on the Program Brief under the "Targets" section or the **"Known Issues" section located on the right hand side.
The "Known Issues" section will display the number of unique valid findings (triaged, unresolved, or won't fix submissions) or total* number of findings on the given program (unique findings + duplicates*).
Each scoped target will have a target breakdown of unique known issues as seen below.
The Known Issue counts are displayed in the Program Brief for all the submissions on those targets across their organization and not only for a program.
For further insights on known issues for a specific target select the details icon as seen below.
Upon clicking the details icon, a pop-up window will appear. This window will provide a breakdown of known issues on a specific target by specific VRT (Vulnerability Rating Taxonomy) categories.
NOTE: Unique vs. Total
The details pop-up window is broken up into two columns, unique and total. The unique column represents the total number first to find submission, or triaged, unresolved, and won't fix findings. The total column represents the total number of first to find submission plus all duplicate findings.