In these cases the `return` might end up creating a new HTTP response, so they need to be modeled as such. Initially I created a very naive solution that didn't handle either tricky_return1 or tricky_return2. The interaction in tricky_return2/helper highlighted for me that to handle this properly, due to the fact that the flow is across functions, we either need to use a global dataflow/taint-tracking configuration, or some clever use of type-trackers. In the end, this extra effort for not modeling all returns in a flask route handler as a creation of a HTTP response doesn't really seem to be worth it (at least not right now). Sicne we use it with taint-tracking for the Reflected XSS query, and use a HTTP response _creation_ as the sink (without propagating taint to the HTTP response), we won't get into trouble where we report a path to BOTH `make_response(...)` and the `return` ``` resp = make_response(...) return resp ``` If we change this setup in the future, we will probably need to do something to avoid this double-path reporting.
CodeQL
This open source repository contains the standard CodeQL libraries and queries that power LGTM and the other CodeQL products that GitHub makes available to its customers worldwide. For the queries, libraries, and extractor that power Go analysis, visit the CodeQL for Go repository.
How do I learn CodeQL and run queries?
There is extensive documentation on getting started with writing CodeQL. You can use the interactive query console on LGTM.com or the CodeQL for Visual Studio Code extension to try out your queries on any open source project that's currently being analyzed.
Contributing
We welcome contributions to our standard library and standard checks. Do you have an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Before you do, though, please take the time to read our contributing guidelines. You can also consult our style guides to learn how to format your code for consistency and clarity, how to write query metadata, and how to write query help documentation for your query.
License
The code in this repository is licensed under the MIT License by GitHub.
Visual Studio Code integration
If you use Visual Studio Code to work in this repository, there are a few integration features to make development easier.
CodeQL for Visual Studio Code
You can install the CodeQL for Visual Studio Code extension to get syntax highlighting, IntelliSense, and code navigation for the QL language, as well as unit test support for testing CodeQL libraries and queries.
Tasks
The .vscode/tasks.json file defines custom tasks specific to working in this repository. To invoke one of these tasks, select the Terminal | Run Task... menu option, and then select the desired task from the dropdown. You can also invoke the Tasks: Run Task command from the command palette.