Add ACL proxy #32
Add ACL proxy #32
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jmaupetit
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We need fine-grained control over dashboard permissions to ensure users cannot access variable values they are not expected to. As it appears that we cannot forbid dashboard input variable values passed via a GET request, we've designed a FastAPI-based application that proxy dashboards requests and check input values given grafana logged user. The acl-proxy application is used as a companion of our grafana instance along with the Caddy2 web proxy using an x-accel-redirect workflow.
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CircleCI now automatically checks the acl-proxy application compliance with our standards for a python application. It also handles docker image build and publication.
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I think I'll postpone the documentation and tray implementations in a separated PR so that the review will be easier. |
| if ( | ||
| all((school, course, session)) | ||
| and f"course-v1:{school}+{course}+{session}" not in user_course_keys | ||
| ): | ||
| return forbidden |
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I think we can be more pedantic on this and check for school | course | session in user_course_keys instead of considering the triplet only.
| and f"course-v1:{school}+{course}+{session}" not in user_course_keys | ||
| ): | ||
| return forbidden | ||
|
|
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Also, maybe we should write "rules" instead of series of conditions. Suggestions are welcome on this.
| try: | ||
| valid = validate_email(email) | ||
| except EmailNotValidError as error: | ||
| raise EdxException(f"Invalid input email {email}") from error |
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It's a very tiny detail...
| raise EdxException(f"Invalid input email {email}") from error | |
| raise EdxException(f"Invalid input email: {email}") from error |
| edx_course_keys_sql_request = ( # nosec | ||
| "SELECT DISTINCT `student_courseaccessrole`.`course_id` " | ||
| "FROM `student_courseaccessrole` WHERE (" | ||
| " `student_courseaccessrole`.`user_id` = (" | ||
| " SELECT id from auth_user " | ||
| f' WHERE email="{valid.email}" ' | ||
| ' AND `student_courseaccessrole`.`role` IN ("staff", "instructor")' | ||
| " )" | ||
| ")" | ||
| ) |
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Email validation is good but maybe we could use in addition the sqlachemy query builder or Textual SQL with Bound Parameters ?
Apropos, the seemingly invalid email: \[email protected] is considered valid by validate_email but I'm not sure if it is possible to submit such an email.
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Email validation is good but maybe we could use in addition the sqlachemy query builder or Textual SQL with Bound Parameters ?
I've considered using SQL Alchemy but it seemed a bit convoluted to add such dependency for a single SQL request...
Apropos, the seemingly invalid email: \[email protected] is considered valid by validate_email but I'm not sure if it is possible to submit such an email.
Using unicode characters in email addresses is invalid?
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Having a second look, indeed the \[email protected] is not a threat.
Python does a good job by escaping this kind of input and the validation fails way before the query - at the pydantic email validation step.
However, there is one more edge case - case sensitivity. Grafana treats emails in a case-sensitive manner. We can have a teacher with "[email protected]" and a student changing his email to "[email protected]".
Purpose
As grafana has no fine-grained control over variable template values, we need a proxy app that will look for such permissions to allow or deny user requests.
Proposal
x-accel-redirectendpointswrite documentationpostponedimplement application traypostponednginxdraft implementationEdited to postpone docs and tray.