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Flips the Python dataflow trunk from the legacy CFG (semmle/python/Flow.qll) and legacy ESSA SSA (semmle/python/essa/*) to the new shared CFG facade (semmle.python.controlflow.internal.Cfg) and the new SSA adapter (semmle.python.dataflow.new.internal.SsaImpl), both introduced additively in the preceding PRs in this stack. This is the trunk-flip equivalent of the original draft PR #21894 (kept around as documentation), rebased on top of the four preparatory PRs: P1: Remove AstNode.getAFlowNode() and rewrite callers (#21919). P2: Qualify Flow.qll's AST references with Py:: prefix (#21920). P3: Add new shared-CFG-backed control flow graph (#21921). P4: Add new shared-SSA-backed SSA adapter (#21923). The Python dataflow library (semmle/python/dataflow/new/) now imports the new CFG facade and SSA adapter. All CFG-typed predicates (ControlFlowNode, CallNode, BasicBlock, NameNode, AttrNode, ...) are qualified with the Cfg:: prefix; SSA references switch from EssaVariable/EssaDefinition to SsaImpl::Definition/SourceVariable. GuardNode is redesigned to use the new CFG's outcome-node model (isAfterTrue / isAfterFalse) instead of the legacy ConditionBlock + flipped indirection. Only BarrierGuard<...> is preserved as public API. Framework files (Bottle, FastApi, Django, Tornado, Pyramid, Stdlib, ...) are updated to take CFG nodes from the new facade. A handful of dataflow consistency tweaks for the new CFG: - Augmented-assignment targets are treated as both load and store. - 'from X import *' produces uncertain SSA writes for unknown names. - CFG nodes are canonicalised so dataflow does not see equivalent pre/post-order pairs as distinct nodes. Two AST tweaks for the new CFG: - AstNodeImpl: omit PEP 695 type-parameter names from FunctionDefExpr / ClassDefExpr children. - ImportResolution: drop the legacy essa import. Test churn (~175 files): reblessed library- and query-test .expected files reflect slightly different CFG granularity, different toString output, and a handful of true alert deltas in security queries. Verification: all 367 lib + src + consistency-queries compile clean. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
51 lines
1.5 KiB
Plaintext
51 lines
1.5 KiB
Plaintext
/**
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* Configuration to test selected data flow
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* Sources in the source code are denoted by the special name `SOURCE`,
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* and sinks are denoted by arguments to the special function `SINK`.
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* For example, given the test code
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* ```python
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* def test():
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* s = SOURCE
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* SINK(s)
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* ```
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* `SOURCE` will be a source and the second occurrence of `s` will be a sink.
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*
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* In order to test literals, alternative sources are defined for each type:
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*
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* for | use
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* ----------
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* string | `"source"`
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* integer | `42`
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* float | `42.0`
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* complex | `42j` (not supported yet)
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*/
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private import python
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private import semmle.python.controlflow.internal.Cfg as Cfg
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import semmle.python.dataflow.new.DataFlow
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import semmle.python.dataflow.new.TaintTracking
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module TestConfig implements DataFlow::ConfigSig {
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predicate isSource(DataFlow::Node node) {
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node.(DataFlow::CfgNode).getNode().(Cfg::NameNode).getId() = "SOURCE"
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or
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node.(DataFlow::CfgNode).getNode().getNode().(StringLiteral).getS() = "source"
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or
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node.(DataFlow::CfgNode).getNode().getNode().(IntegerLiteral).getN() = "42"
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or
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node.(DataFlow::CfgNode).getNode().getNode().(FloatLiteral).getN() = "42.0"
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// No support for complex numbers
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}
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predicate isSink(DataFlow::Node node) {
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exists(Cfg::CallNode call |
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call.getFunction().(Cfg::NameNode).getId() in ["SINK", "SINK_F"] and
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node.(DataFlow::CfgNode).getNode() = call.getAnArg()
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)
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}
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predicate isBarrierIn(DataFlow::Node node) { isSource(node) }
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}
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module TestFlow = TaintTracking::Global<TestConfig>;
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