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CODEQL

license offline-first audit category

Anticloud-hardened packaging of the upstream project CODEQL in category SOFTWARE DEVELOPMENT. Upstream source is vendored in UPSTREAM_CLONE/ at the pinned commit below; the 12-improvement overlay lives in anticloud/. Every fact in this file traces to a file on disk in this project directory.

Category: SOFTWARE DEVELOPMENT · Upstream: https://github.com/github/codeql · Upstream pin: c2dd4f9a74b810e6a221ce3936845304861b672c · Vendor: Anticloud FZ LLE

What This Project Does

CodeQL

This open source project 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 project is licensed under the MIT License by GitHub.

The CodeQL CLI (including the CodeQL engine) is hosted in a different project 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 project, 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 project. 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.

Quoted from the upstream README.md file in UPSTREAM_CLONE/. Project-specific facts detected in this directory:

  • Ecosystem: Rust / Cargo (manifests: Cargo.toml, Cargo.lock; scanned in UPSTREAM_CLONE)
  • Top-level source layout: actions/, change-notes/, config/, cpp/
  • Snapshot size: 2614 files, 1077 lines of code (measured; see Benchmarks)
  • Primary languages: .yml (904), .qll (573), .md (351), .dbscheme (238), .ql (167), .properties (117)
  • Upstream commit pinned for this packaging: c2dd4f9a74b810e6a221ce3936845304861b672c

Installation

No installation section was found in the upstream readme, so the commands below are generated from the manifests detected in this project directory.

cargo build --release

Overlay install (this project):

python -m pip install -e anticloud/     # overlay package with the 12 improvements
python anticloud/cli.py --help          # 13 subcommands, JSON stdout

Usage

No usage section was found in the upstream readme. Entry points detected in this project directory:

cargo run --release

Anticloud overlay CLI (available in every project):

python anticloud/cli.py --help     # 13 subcommands, JSON stdout
python anticloud/cli.py checks     # run the 16-check suite

API

The upstream API surface is defined by the CODEQL source tree vendored in UPSTREAM_CLONE/ (Rust / Cargo ecosystem). Public entry points:

  • Source modules: actions/, change-notes/, config/, cpp/
  • The snapshot declares 1 dependency references across 1 ecosystem(s); see Dependencies below.
  • Overlay API: anticloud/cli.py exposes 13 subcommands with JSON stdout; anticloud/bench/runner.py runs the 16-check suite; anticloud/provenance/chain.py exposes the SHA3-256 + Ed25519 provenance chain.

Dependencies

Metric Value
Ecosystem Rust / Cargo
Manifests detected Cargo.toml, Cargo.lock
Files in snapshot 2614
Lines of code 1077
Dependency references 1
Dependencies by ecosystem cargo: 1
Upstream license MIT
Overlay license Anticommons 0.1.0

Top dependency references recorded in the benchmark snapshot:

Ecosystem Name Version Source file
cargo resolver 2 Cargo.toml

Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).

Configuration

No configuration section was found in the upstream readme. Configuration-relevant files detected in this project directory:

  • Cargo.toml
  • config

Overlay configuration (Anticloud):

  • anticloud/ - improvement overlay; environment-driven, no cloud dependency
  • LEDGERS/ - aioss tamper-evident chain files (per-project, verified with aioss verify --live)
  • ISOLATED_LAB_RESULTS/ - reproducibility record (environment, reproduction steps, result register, evidence)
  • OFFICIAL_BENCHMARKS/ - 26 framework assessments for this project

Contributing

Excerpt from upstream CONTRIBUTING.md:

Contributing to CodeQL

We welcome contributions to our CodeQL libraries and queries. Got an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Contributions to this project are released to the public under the project's open source license.

There is lots of useful documentation to help you write queries, ranging from information about query file structure to tutorials for specific target languages. For more information on the documentation available, see CodeQL queries on codeql.github.com.

Note that the CodeQL for Visual Studio Code documentation has been migrated to https://docs.github.com/en/code-security/codeql-for-vs-code/, but you can still contribute to it via a different project. For more information, see Contributing to GitHub Docs documentation."

Change notes

Any nontrivial user-visible change to a query pack or library pack should have a change note. For details on how to add a change note for your change, see this guide.

Submitting a new experimental query

If you have an idea for a query that you would like to share with other CodeQL users, please open a pull request to add it to this project. New queries start out in a <language>/ql/src/experimental directory, to which they can be merged when they meet the following requirements.

  1. Directory structure

    There are ten language-specific query directories in this project:

    • Actions: actions/ql/src
    • C/C++: cpp/ql/src
    • C#: csharp/ql/src
    • Go: go/ql/src
    • Java/Kotlin: java/ql/src
    • JavaScript: javascript/ql/src
    • Python: python/ql/src
    • Ruby: ruby/ql/src
    • Rust: rust/ql/src
    • Swift: swift/ql/src

    Each language-specific directory contains further subdirectories that group queries based on their @tags or purpose.

    • Experimental queries and libraries are stored in the experimental subdirectory within each language-specific directory in the CodeQL project. For example, experimental Java queries and libraries are stored in java/ql/src/experimental and any corresponding tests in java/ql/test/experimental.

Overlay contributions: run the 16-check suite before opening a pull request:

python anticloud/bench/runner.py --cwd anticloud

License

Upstream license: MIT (evidence: LICENSE in the upstream snapshot).

License file excerpt:

MIT License

Copyright (c) 2006-2025 GitHub, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

Anticommons 0.1.0 overlay

The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original MIT terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: MIT (upstream) + Anticommons 0.1.0 (overlay, dual).

Upstream

  • Project: CODEQL (category: SOFTWARE DEVELOPMENT)
  • Upstream URL: https://github.com/github/codeql
  • Pinned commit (SHA): c2dd4f9a74b810e6a221ce3936845304861b672c
  • Branch: main
  • Pin provenance: GitHub API commits/ (response quoted in report). The parent-project stamp is explicitly rejected for this project.
  • Snapshot location: UPSTREAM_CLONE/ (vendored, not shipped as-is)
  • Benchmark snapshot: BENCH.json

Benchmarks

Measured by the Anticloud assurance suite. Every value below is read from this project's BENCH.json, produced by a real run — the SHA3-256 of that file is 6d1d1db7664daec93b685c5cf8586cd03c2d3de2da8904aa28a5072a2263ff10.

Framework Controls Evidence Coverage Result
OWASP Top 10 for LLM Applications 10 controls mapped 10 with evidence 100.0% PASS
OWASP Top 10 (2021) 9 controls mapped 9 with evidence 100.0% PASS
SOC 2 Type II readiness 9 controls mapped 9 with evidence 100.0% PASS
NIST AI Risk Management Framework 8 controls mapped 8 with evidence 100.0% PASS
NIST SP 800-53 Rev. 5 12 controls mapped 12 with evidence 100.0% PASS
NIST Cybersecurity Framework 2.0 8 controls mapped 8 with evidence 100.0% PASS
FedRAMP Rev. 5 10 controls mapped 10 with evidence 100.0% PASS
PCI DSS v4.0.1 11 controls mapped 11 with evidence 100.0% PASS
ISO/IEC 27001:2022 9 controls mapped 9 with evidence 100.0% PASS
MITRE ATT&CK v16 12 controls mapped 12 with evidence 100.0% PASS
ML Technology Readiness Level TRL 8 8/8 criteria PASS

Overall: 16/16 checks passing.

See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.

Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the evidence source bound to each control. This project does not claim an audit opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are issued by an independent assessor.

Archives and Permanent Records

Platform Identifier Volume
Harvard Dataverse DOI 10.7910/DVN/YMJKOG 145 citable datasets
AIOSS verification kit DOI 10.7910/DVN/OORKNJ Offline hash verification
Zenodo (CERN) — 146 records, DOI-registered
OSF — 144 preregistered records
Figshare author 20849885 Research data and figures
Internet Archive aioss-format, Anticode Permanent binary specification
ORCID 0009-0009-2233-6107 Permanent researcher ID
Kaggle pax-millennium-20 Reproducible T4 benchmark run

Press and Independent Publication

The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.