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@@ -28,7 +28,7 @@ Experiment and learn how to write effective and efficient queries for CodeQL dat
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- :doc:`Using flow labels for precise data flow analysis <using-flow-labels-for-precise-data-flow-analysis>`: You can associate flow labels with each value tracked by the flow analysis to determine whether the flow contains potential vulnerabilities.
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- :doc:`Specifying remote flow sources for JavaScript <specifying-additional-remote-flow-sources-for-javascript>`: You can model potential sources of untrusted user input without making changes to the CodeQL standard libary fror JavaScript.
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- :doc:`Specifying remote flow sources for JavaScript <specifying-additional-remote-flow-sources-for-javascript>`: You can model potential sources of untrusted user input without making changes to the CodeQL standard library for JavaScript.
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- :doc:`Using type tracking for API modeling <using-type-tracking-for-api-modeling>`: You can track data through an API by creating a model using the CodeQL type-tracking library for JavaScript.
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@@ -3,7 +3,7 @@
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Specifying additional remote flow sources for JavaScript
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========================================================
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You can model potential sources of untrusted user input without making changes to the CodeQL standard libary fror JavaScript.
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You can model potential sources of untrusted user input without making changes to the CodeQL standard library for JavaScript.
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As mentioned in the :doc:`Data flow cheat sheet for JavaScript <data-flow-cheat-sheet-for-javascript>`, the CodeQL libraries for JavaScript
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provide a class `RemoteFlowSource <https://codeql.github.com/codeql-standard-libraries/javascript/semmle/javascript/security/dataflow/RemoteFlowSources.qll/type.RemoteFlowSources$RemoteFlowSource.html>`__ to represent sources of untrusted user input, sometimes also referred to as `remote flow
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