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Python: Model sensitive data based on variable names
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@@ -111,6 +111,43 @@ private module SensitiveDataModeling {
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override SensitiveDataClassification getClassification() { result = classification }
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}
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/**
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* Any kind of variable assignment (also including with/for) where the name indicates
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* it contains sensitive data.
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*
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* Note: We _could_ make any access to a variable with a sensitive name a source of
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* sensitive data, but to make path explanations in data-flow/taint-tracking good,
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* we don't want that, since it works against allowing users to understand the flow
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* in the program (which is the whole point).
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*
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* Note: To make data-flow/taint-tracking work, the expression that is _assigned_ to
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* the variable is marked as the source (as compared to marking the variable as the
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* source).
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*/
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class SensitiveVariableAssignment extends SensitiveDataSource::Range {
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SensitiveDataClassification classification;
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SensitiveVariableAssignment() {
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exists(DefinitionNode def |
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nameIndicatesSensitiveData(def.(NameNode).getId(), classification) and
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(
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this.asCfgNode() = def.getValue()
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or
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this.asCfgNode() = def.getValue().(ForNode).getSequence()
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) and
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not this.asExpr() instanceof FunctionExpr and
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not this.asExpr() instanceof ClassExpr
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)
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or
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exists(With with |
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nameIndicatesSensitiveData(with.getOptionalVars().(Name).getId(), classification) and
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this.asExpr() = with.getContextExpr()
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)
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}
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override SensitiveDataClassification getClassification() { result = classification }
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}
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/** An attribute access that is considered a source of sensitive data. */
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class SensitiveAttributeAccess extends SensitiveDataSource::Range {
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SensitiveDataClassification classification;
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