Files
codeql/python/ql/test/experimental/meta/InlineTaintTest.qll
yoff 265a31dc1d Python: switch dataflow library to new (shared) CFG + SSA
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>
2026-07-30 15:30:47 +00:00

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/**
* Defines a InlineExpectationsTest for checking whether any arguments in
* `ensure_tainted` and `ensure_not_tainted` calls are tainted.
*
* Also defines query predicates to ensure that:
* - if any arguments to `ensure_not_tainted` are tainted, their annotation is marked with `SPURIOUS`.
* - if any arguments to `ensure_tainted` are not tainted, their annotation is marked with `MISSING`.
*
* The functionality of this module is tested in `ql/test/experimental/meta/inline-taint-test-demo`.
*/
import python
private import semmle.python.controlflow.internal.Cfg as Cfg
import semmle.python.dataflow.new.DataFlow
import semmle.python.dataflow.new.TaintTracking
import semmle.python.dataflow.new.RemoteFlowSources
import utils.test.InlineExpectationsTest
private import semmle.python.dataflow.new.internal.PrintNode
private import semmle.python.Concepts
DataFlow::Node shouldBeTainted() {
exists(DataFlow::CallCfgNode call |
call.getFunction().asCfgNode().(Cfg::NameNode).getId() = "ensure_tainted" and
result in [call.getArg(_), call.getArgByName(_)]
)
}
DataFlow::Node shouldNotBeTainted() {
exists(DataFlow::CallCfgNode call |
call.getFunction().asCfgNode().(Cfg::NameNode).getId() = "ensure_not_tainted" and
result in [call.getArg(_), call.getArgByName(_)]
)
}
// this module allows the configuration to be imported in other `.ql` files without the
// top level query predicates of this file coming into scope.
module Conf {
module TestTaintTrackingConfig implements DataFlow::ConfigSig {
predicate isSource(DataFlow::Node source) {
source.asCfgNode().(Cfg::NameNode).getId() in [
"TAINTED_STRING", "TAINTED_BYTES", "TAINTED_LIST", "TAINTED_DICT"
]
or
// User defined sources
exists(Cfg::CallNode call |
call.getFunction().(Cfg::NameNode).getId() = "taint" and
source.(DataFlow::CfgNode).getNode() = call.getAnArg()
)
or
source instanceof ThreatModelSource
}
predicate isSink(DataFlow::Node sink) {
sink = shouldBeTainted()
or
sink = shouldNotBeTainted()
}
}
}
import Conf
module MakeInlineTaintTest<DataFlow::ConfigSig Config> {
private module Flow = TaintTracking::Global<Config>;
private module InlineTaintTest implements TestSig {
string getARelevantTag() { result = "tainted" }
predicate hasActualResult(Location location, string element, string tag, string value) {
exists(location.getFile().getRelativePath()) and
exists(DataFlow::Node sink |
Flow::flowTo(sink) and
location = sink.getLocation() and
element = prettyExpr(sink.asExpr()) and
value = "" and
tag = "tainted"
)
}
}
import MakeTest<InlineTaintTest>
query predicate argumentToEnsureNotTaintedNotMarkedAsSpurious(
Location location, string error, string element
) {
error = "ERROR, you should add `SPURIOUS:` to this annotation" and
location = shouldNotBeTainted().getLocation() and
InlineTaintTest::hasActualResult(location, element, "tainted", _) and
exists(GoodTestExpectation good, ActualTestResult actualResult |
good.matchesActualResult(actualResult) and
actualResult.getLocation() = location and
actualResult.toString() = element
)
}
query predicate untaintedArgumentToEnsureTaintedNotMarkedAsMissing(
Location location, string error, string element
) {
error = "ERROR, you should add `# $ MISSING: tainted` annotation" and
exists(DataFlow::Node sink |
sink = shouldBeTainted() and
element = prettyExpr(sink.asExpr()) and
not Flow::flowTo(sink) and
location = sink.getLocation() and
not exists(FalseNegativeTestExpectation missingResult |
missingResult.getTag() = "tainted" and
missingResult.getLocation().getFile() = location.getFile() and
missingResult.getLocation().getStartLine() = location.getStartLine()
)
)
}
}