Display iSheet Data on Home Page/Wiki

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I recall that there is a simple way to display iSheet records on a site's home page (or wiki) in a table or single-item format.  I'm referring to data from each individual row as opposed to charts and other aggregate data visualizations.  However, I haven't been able to find the instructions.  Any assistance would be appreciated.  I'm trying to display iSheet data in a more user-friendly manner by, for example, placing the contents of each column in a separate row, with each iSheet row corresponding to a separate table on the home page/wiki.

 

Simplified example:

(1)  This is my iSheet record:

 

Client Name Client Jurisdiction Client Code Client Mailing Address Client Relationship Manager(s)
Acme Co. Delaware 1234567 123 5th Ave., New York, New York Bob Smith; Amy Jones

 

(2)  I'd like to generate the following on the home page/wiki (including a link at the bottom that would allow the user to edit that particular record):

 

Client Name Acme Co.
Client Jurisdiction Delaware
Client Code 1234567
Client Mailing Address 123 5th Ave., New York, New York
Client Relationship Manager Bob Smith; Amy Jones

Edit Record [THIS LINK WOULD TRIGGER AN EDIT OF THE RECORD

 

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Parents
  • If the attacker just has the client id and secret, wouldn't they not be able to do anything yet with them, because to actually get the token you also need to login with a highq account and then use the id/secret to get the token. To successfully execute the attack, they would need to make a fake form/page (could be on the highq domain) and have an authenticated user then log in and authenticate to generate the token which then the attacker hijacks.

Reply
  • If the attacker just has the client id and secret, wouldn't they not be able to do anything yet with them, because to actually get the token you also need to login with a highq account and then use the id/secret to get the token. To successfully execute the attack, they would need to make a fake form/page (could be on the highq domain) and have an authenticated user then log in and authenticate to generate the token which then the attacker hijacks.

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