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codeql/python/ql/lib/semmle/python/dataflow/new/DataFlow.qll
2023-08-01 14:02:33 +02:00

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/**
* Provides a library for local (intra-procedural) and global (inter-procedural)
* data flow analysis: deciding whether data can flow from a _source_ to a
* _sink_.
*
* Unless configured otherwise, _flow_ means that the exact value of
* the source may reach the sink. We do not track flow across pointer
* dereferences or array indexing. To track these types of flow, where the
* exact value may not be preserved, import
* `experimental.dataflow.TaintTracking`.
*
* To use global (interprocedural) data flow, extend the class
* `DataFlow::Configuration` as documented on that class. To use local
* (intraprocedural) data flow, call `DataFlow::localFlow` or
* `DataFlow::localFlowStep` with arguments of type `DataFlow::Node`.
*/
private import python
/**
* Provides classes for performing local (intra-procedural) and
* global (inter-procedural) data flow analyses.
*/
module DataFlow {
private import internal.DataFlowImplSpecific
private import codeql.dataflow.DataFlow
import DataFlowMake<PythonDataFlow>
import internal.DataFlowImpl1
}