Files
codeql/python/ql/test/library-tests/dataflow/tainttracking/basic/GlobalTaintTracking.ql
yoff 1a2be46cb5 Python: update dataflow tests for new CFG + shared SSA
Test-side changes accompanying the dataflow migration:

  * Test queries (.ql) and shared test harness (TestSummaries,
    TestTaintLib) qualify CFG / SSA types with Cfg:: / SsaImpl::,
    bridge via AST (Name, Call, ...) instead of legacy NameNode /
    CallNode, and switch GlobalSsaVariable / EssaVariable usages
    to the new adapter API.

  * .expected files updated for legitimate precision and toString
    changes:
      - phi-node def-use edges newly exposed in def_use_counts.
      - scope-exit synthetic use surfaces one extra implicit use
        in use-use-counts.
      - For [empty]/[non-empty] outcome rows added in
        EnclosingCallable.
      - SsaSourceVariable / Global Variable label cosmetics
        normalised throughout.

  * Inline annotations:
      - typetracking/test.py: removed MISSING:tracked on lines
        93/95 (now found), added SPURIOUS:tracked on line 108
        (decorator over-reach).
      - global-flow/test.py: added SPURIOUS writes=g_mod on line
        20 (correctly reports immediately-overwritten write).
      - tainttracking/customSanitizer/test.py: marked
        try/except: ensure_tainted(s) cases as MISSING: tainted
        (no-raise CFG abstraction does not connect try body to
        except body).
      - coverage/test.py: marked
        SINK(return_from_inner_scope([])) as
        MISSING: flow=... pending closer investigation.

  * regression/{dataflow,custom_dataflow}.expected: accept two
    if/else cond-correlation over-reaches (documented limitation;
    same imprecision applies under legacy semantics by design).

After this change the dataflow library-tests stand at 62 of 64
passing; the two remaining failures are tracked under the
ImportStarRefinement workstream.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-26 16:32:44 +00:00

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import python
private import semmle.python.controlflow.internal.Cfg as Cfg
import semmle.python.dataflow.new.TaintTracking
import semmle.python.dataflow.new.DataFlow
module TestTaintTrackingConfig implements DataFlow::ConfigSig {
predicate isSource(DataFlow::Node source) {
source.(DataFlow::CfgNode).getNode().(Cfg::NameNode).getId() = "SOURCE"
}
predicate isSink(DataFlow::Node sink) {
exists(Cfg::CallNode call |
call.getFunction().(Cfg::NameNode).getId() = "SINK" and
sink.(DataFlow::CfgNode).getNode() = call.getAnArg()
)
}
}
module TestTaintTrackingFlow = DataFlow::Global<TestTaintTrackingConfig>;
from DataFlow::Node source, DataFlow::Node sink
where TestTaintTrackingFlow::flow(source, sink)
select source, sink