yoff dd2deacd00 Python: model from X import * as uncertain SSA writes
Add a 4th disjunct to `SsaImplInput::variableWrite` in the shared-SSA
adapter that mirrors legacy ESSA's `ImportStarRefinement`: every
variable whose scope is the import-star's scope, OR which is used in
the import-star's scope, gets an uncertain write at the `import *`
position.

Uncertain writes do not kill prior definitions; shared SSA's
`SsaUncertainWrite` joins the new value with the immediately-preceding
definition via `uncertainWriteDefinitionInput`. This is the equivalent
of legacy ESSA's two-input refinement.

Cannot depend on `ImportStar` / `ImportResolution` (those modules
import `SsaImpl`), so the predicate uses the structural heuristic on
`Cfg::ImportStarNode` directly.

This closes the two remaining failing dataflow library-tests:

- `import-star/global` — `module_export` chains via `from X import *`
  re-exports now resolve: the importing module has an SSA def of every
  re-exported name, so `lastUseVar` finds the read at the use site.
- `typetracking_imports/highlight_problem` — a direct `from .foo import
  foo` immediately followed by `from .other import *` is now correctly
  marked as dead at the direct import.

Two scope-entry-def noise rows in `highlight_problem.expected` are also
dropped — legacy ESSA needed them as refinement inputs, but shared SSA
handles uncertain writes without an explicit prior def. They were
always tagged `no use to normal exit` (dead).

Dataflow library-tests: 62/64 → 64/64 passing.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-26 10:09:04 +00:00
2022-10-20 08:21:02 -04:00
2026-03-16 08:51:51 +01:00
2026-04-24 13:24:31 +02:00
2026-02-10 13:44:04 +01:00
2018-09-23 16:24:31 -07:00
2025-09-25 14:03:39 +01:00
2025-09-30 10:21:17 +02:00
2025-10-23 10:49:51 +02:00
2022-04-12 12:40:59 +02:00
2024-05-07 13:09:08 +01:00

CodeQL

This open source repository contains the standard CodeQL libraries and queries that power GitHub Advanced Security and the other application security products that GitHub makes available to its customers worldwide.

How do I learn CodeQL and run queries?

There is extensive documentation about the CodeQL language, writing CodeQL using the CodeQL extension for Visual Studio Code and using the CodeQL CLI.

Contributing

We welcome contributions to our standard library and standard checks. Do you have an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Before you do, though, please take the time to read our contributing guidelines. You can also consult our style guides to learn how to format your code for consistency and clarity, how to write query metadata, and how to write query help documentation for your query.

For information on contributing to CodeQL documentation, see the "contributing guide" for docs.

License

The code in this repository is licensed under the MIT License by GitHub.

The CodeQL CLI (including the CodeQL engine) is hosted in a different repository and is licensed separately. If you'd like to use the CodeQL CLI to analyze closed-source code, you will need a separate commercial license; please contact us for further help.

Visual Studio Code integration

If you use Visual Studio Code to work in this repository, there are a few integration features to make development easier.

CodeQL for Visual Studio Code

You can install the CodeQL for Visual Studio Code extension to get syntax highlighting, IntelliSense, and code navigation for the QL language, as well as unit test support for testing CodeQL libraries and queries.

Tasks

The .vscode/tasks.json file defines custom tasks specific to working in this repository. To invoke one of these tasks, select the Terminal | Run Task... menu option, and then select the desired task from the dropdown. You can also invoke the Tasks: Run Task command from the command palette.

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CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
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