Stacs-ci - A set of modules to enable integration of STACS with commonly used CI / CD systems

Related tags

Deep Learningstacs-ci
Overview

Shield Shield Shield Shield Shield Shield




Static Token And Credential Scanner
CI Integrations

What is it?

STACS is a YARA powered static credential scanner which supports source code, binary file formats, analysis of nested archives, composable rule-sets and ignore lists, and SARIF reporting.

This repository contains a set of modules to enable integration of STACS with commonly used CI / CD systems. Currently, supported is:

  • Github Actions

    • Fails the build on unsuppressed findings.
    • Automatically annotates pull requests with findings.
    • Automatically loads suppressions from a stacs.ignore.json in the root of the repository.
  • Generic CI Systems

    • Fails the build on unsuppressed findings.
    • Outputs findings to the console in formatted plain-text.
    • Automatically loads suppressions from a stacs.ignore.json in the scan directory.

Github Actions

This Github action enables running STACS as a Github action. This can be used to identify credentials committed in both source code, or even credentials accidentally compiled into binary artifacts - such as Android APKs, Docker images, RPM packages, ZIP files, and more!

If run as part of a pull request, this action automatically annotates a pull request with findings to allow simplified review integrated with existing code-review processes. As this integration does not use the Github security events framework, no additional subscription to Github is required, even for private repositories!

This action can also be used as part of a release event. Allowing scanning of binaries before publishing to catch credentials which may have been accidentally generated or included as part of the build process.

Additionally, this action can 'fail the build' if any static tokens and credentials are detected.

Appearance

If STACS detects a static credential during a pull request, a review comment will be added to the line containing the static credential:

Github Comment of finding

The STACS Github integration will even check the pull request to see whether there is an existing comment for this finding, preventing multiple comments being added to the same pull request on subsequent commits.

If the credential is found inside of an archive, in a part of a file not modified by the pull request, then a regular comment will be added to the triggering pull request.

Inputs

scan-directory

An optional sub-directory to scan, relative to the repository root. This allows scanning to be limited to a specific directory under the repository root.

Defaults to the repository root.

fail-build

Defines whether this action should 'fail the build' if any static token or credentials are detected. This will take any suppressed / ignore listed entries into account, allowing consumers to ignore known false positives - such as test fixtures.

Defaults to true

Example Usage

The following example scans the currently checked out commit and adds review comments for findings to an associated pull-request (see "Permissions" section below). If the trigger was not a pull-request, findings will instead be printed to the console and STACS CI will exit with a non-zero status (100) if unsupressed findings were present.

uses: stacscan/[email protected]

The following example scans a sub-directory in the repository. In this example the binaries/ sub-directory contains binary objects, compiled for release by another step of a Github actions pipeline.

uses: stacscan/[email protected]
with:
    scan-directory: 'binaries/'

The following example disables 'failing the build' if there are findings which have not been ignored / suppressed.

uses: stacscan/[email protected]
with:
    fail-build: false

Permissions

Please be aware that in order to annotate pull requests with comments, the action must also be granted write permissions to pull-requests. This can be done by adding the following to the respective job in your Github actions pipeline.

permissions:
    contents: read         # Required to read the repository contents (checkout).
    pull-requests: write   # Required to annotate pull requests with comments.

This is only required if running in response to pull-request triggers.

Generic CI

This repository can be integrated with a number of common CI systems using the provided Docker image, or Python module.

The pre-built Docker image greatly simplifies this process and provides a mechanism to quickly execute a STACS scan against a given directory, print the results in an actionable manner, and signal to the CI system that the build should fail on findings.

Appearance

If STACS detects a static credential, a results block will be printed to the console with information required to identify its location:

Terminal output of findings

If the credential is found within an archive, STACS will print a file tree to allow quick identification of exactly where the credential is.

Basic

The simplest form of executing the Generic CI integration can be performed using the following Docker command from the directory to be scanned. Using this default configuration Docker will complete with a non-zero exit code if any unsuppressed findings are found:

docker run -it -v $(pwd):/mnt/stacs/input stacscan/stacs-ci:latest

To prevent a non-zero exit code on unsuppressed findings, such as for initial 'dry run' style operation, the following command can be run:

docker run -it -e FAIL_BUILD=false -v $(pwd):/mnt/stacs/input stacscan/stacs-ci:latest

Jenkins

To be added.

Circle CI

To be added.

Comments
  • [0.1.6] Update to the latest STACS container.

    [0.1.6] Update to the latest STACS container.

    Overview

    Upgrades to the latest STACS container. See the STACS release notes for the new version for a list of changes in this container. Only changes to STACS-CI will be included below.

    🛠️ New Features

    • N/A

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • N/A
    opened by darkarnium 2
  • [0.1.5] Update to the latest STACS container.

    [0.1.5] Update to the latest STACS container.

    Overview

    PLEASE NOTE: There is a potentially breaking change as part of this update, as the Stripe rule has been relocated under SaaS. This modifies its reference to now be CredentialSaaSStripeAPI. Any previously suppressed findings for this rule will need to be updated to reflect this new identifier.

    🛠️ New Features

    • Upgrade to the latest STACS rules, which includes new rules for
      • PyPI Token
      • Slack Token
        • User (xoxp-...)
        • Bot (xoxb-...)
      • NPM
        • authToken
        • password
      • PKCS#12 / PFX
      • DER format RSA keys.
        • Detects keys with exponents 3 / 65537, and modulous sizes 64 / 128 / 256 / 512 / 1024.

    🍩 Improvements

    • Minor changes to AWS rule.
    • Simplify matching criteria for a number of rules.

    🐛 Bug Fixes

    • N/A
    opened by darkarnium 2
  • [0.1.4] Github annotation off-by-one bug fix.

    [0.1.4] Github annotation off-by-one bug fix.

    Overview

    🛠️ New Features

    • N/A

    🍩 Improvements

    • Pulls in latest STACS rules (r57ce3ce).

    🐛 Bug Fixes

    • Fix off-by-one edge case which caused Github pull-request annotation to fail.
      • This was triggered when a new file was added in a pull-request containing a credential on the first line.
    opened by darkarnium 1
  • [0.1.3] Update to the latest version of STACS.

    [0.1.3] Update to the latest version of STACS.

    Overview

    🛠️ New Features

    🍩 Improvements

    • Tweak to STACS-CI deployment pipeline to simplify testing prior to release.

    🐛 Bug Fixes

    • N/A
    opened by darkarnium 1
  • [0.1.1] Use latest STACS release, absolute URLs for images

    [0.1.1] Use latest STACS release, absolute URLs for images

    Overview

    🛠️ New Features

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • Ensures that file with the finding appears in the change set.
      • This prevents attempts to add a review comment for a file which is already in the target branch.
      • In these cases a comment will be added instead.
    opened by darkarnium 1
  • [0.1.0] Change container tag format, add Action.

    [0.1.0] Change container tag format, add Action.

    Overview

    Unfortunately, Docker does not support + characters in tag names, so we cannot use semver package numbering to indicate rule version.

    🛠️ New Features

    • Add Github Action YAML.
    • Update STACS Rules on STACS CI release.

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • N/A
    opened by darkarnium 0
  • [0.1.0] Initial implementation of STACS CI

    [0.1.0] Initial implementation of STACS CI

    Overview

    Initial release of STACS CI Integrations.

    🛠️ New Features

    • Generic CI integration
    • Github Actions integration

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • N/A
    opened by darkarnium 0
  • Backport CI UI into STACS

    Backport CI UI into STACS

    Overview

    The STACS-CI UI should be moved back into STACS, removing th need for this repository to contain more than a Github action for STACS execution.

    opened by darkarnium 0
  • Documentation of the stacs.ignore.json

    Documentation of the stacs.ignore.json

    Hi!

    Great tool you are building here - happy with it working so well in a CI context and ease of config.

    I have searched a lot through your repos and am struggling to find docs on the ignore file? Some of the things you describe sound awesome but I am yet to find anything on how to do it :)

    Thanks in advance!

    documentation 
    opened by erzz 5
Releases(0.1.6)
  • 0.1.6(Mar 4, 2022)

    Overview

    Upgrades to the latest STACS container. See the STACS release notes for the new version for a list of changes in this container. Only changes to STACS-CI will be included below.

    🛠️ New Features

    • N/A

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • N/A
    Source code(tar.gz)
    Source code(zip)
  • 0.1.5(Jan 18, 2022)

    Overview

    PLEASE NOTE: There is a potentially breaking change as part of this update, as the Stripe rule has been relocated under SaaS. This modifies its reference to now be CredentialSaaSStripeAPI. Any previously suppressed findings for this rule will need to be updated to reflect this new identifier.

    🛠️ New Features

    • Upgrade to the latest STACS rules, which includes new rules for
      • PyPI Token
      • Slack Token
        • User (xoxp-...)
        • Bot (xoxb-...)
      • NPM
        • authToken
        • password
      • PKCS#12 / PFX
      • DER format RSA keys.
        • Detects keys with exponents 3 / 65537, and modulous sizes 64 / 128 / 256 / 512 / 1024.

    🍩 Improvements

    • Minor changes to AWS rule.
    • Simplify matching criteria for a number of rules.

    🐛 Bug Fixes

    • N/A
    Source code(tar.gz)
    Source code(zip)
  • 0.1.4(Jan 11, 2022)

    Overview

    🛠️ New Features

    • N/A

    🍩 Improvements

    • Pulls in latest STACS rules (r57ce3ce).

    🐛 Bug Fixes

    • Fix off-by-one edge case which caused Github pull-request annotation to fail.
      • This was triggered when a new file was added in a pull-request containing a credential on the first line.
    Source code(tar.gz)
    Source code(zip)
  • 0.1.3(Jan 10, 2022)

    Overview

    🛠️ New Features

    🍩 Improvements

    • Tweak to STACS-CI deployment pipeline to simplify testing prior to release.

    🐛 Bug Fixes

    • N/A
    Source code(tar.gz)
    Source code(zip)
  • 0.1.2(Jan 7, 2022)

  • 0.1.1(Jan 4, 2022)

    Overview

    🛠️ New Features

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • Ensures that file with the finding appears in the change set.
      • This prevents attempts to add a review comment for a file which is already in the target branch.
      • In these cases a comment will be added instead.
    Source code(tar.gz)
    Source code(zip)
  • 0.1.0(Jan 2, 2022)

    Overview

    Initial release of STACS CI Integrations.

    🛠️ New Features

    • Github Actions

      • Fails the build on unsuppressed findings.
      • Automatically annotates pull requests with findings.
      • Automatically loads suppressions from a stacs.ignore.json in the root of the repository.
    • Generic CI Systems

      • Fails the build on unsuppressed findings.
      • Outputs findings to the console in formatted plain-text.
      • Automatically loads suppressions from a stacs.ignore.json in the scan directory.

    🍩 Improvements

    • N/A

    🐛 Bug Fixes

    • N/A
    Source code(tar.gz)
    Source code(zip)
Owner
STACS
Static Token And Credential Scanner
STACS
Code release for NeRF (Neural Radiance Fields)

NeRF: Neural Radiance Fields Project Page | Video | Paper | Data Tensorflow implementation of optimizing a neural representation for a single scene an

6.5k Jan 01, 2023
Tool for installing and updating MiSTer cores and other files

MiSTer Downloader This tool installs and updates all the cores and other extra files for your MiSTer. It also updates the menu core, the MiSTer firmwa

72 Dec 24, 2022
A code generator from ONNX to PyTorch code

onnx-pytorch Generating pytorch code from ONNX. Currently support onnx==1.9.0 and torch==1.8.1. Installation From PyPI pip install onnx-pytorch From

Wenhao Hu 94 Jan 06, 2023
Official codebase for ICLR oral paper Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling

CLIORA This is the official codebase for ICLR oral paper: Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling. We introduce

Bo Wan 32 Dec 23, 2022
DRIFT is a tool for Diachronic Analysis of Scientific Literature.

About DRIFT is a tool for Diachronic Analysis of Scientific Literature. The application offers user-friendly and customizable utilities for two modes:

Rajaswa Patil 108 Dec 12, 2022
Optical Character Recognition + Instance Segmentation for russian and english languages

Распознавание рукописного текста в школьных тетрадях Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS. Результаты

Gerasimov Maxim 21 Dec 19, 2022
A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021)

GDN A tensorflow=1.13 implementation of Deconvolutional Networks on Graph Data (NeurIPS 2021) Abstract In this paper, we consider an inverse problem i

4 Sep 13, 2022
Complex Answer Generation For Conversational Search Systems.

Complex Answer Generation For Conversational Search Systems. Code for Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex

Hanane Djeddal 0 Dec 06, 2021
[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning This repository is the official PyTorch implementation of CORE-Text, a

Jingyang Lin 18 Aug 11, 2022
Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR 2022)

The Official Implementation of CLIB (Continual Learning for i-Blurry) Online Continual Learning on Class Incremental Blurry Task Configuration with An

NAVER AI 34 Oct 26, 2022
Minimalistic PyTorch training loop

Backbone for PyTorch training loop Will try to keep it minimalistic. pip install back from back import Bone Features Progress bar Checkpoints saving/l

Kashin 4 Jan 16, 2020
ThunderSVM: A Fast SVM Library on GPUs and CPUs

What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

Xtra Computing Group 1.4k Dec 22, 2022
DGL-TreeSearch and the Gurobi-MWIS interface

Independent Set Benchmarking Suite This repository contains the code for our maximum independent set benchmarking suite as well as our implementations

Maximilian Böther 19 Nov 22, 2022
Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir.

NetScanner.py Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir. Linux'da Kullanımı: git clone https://github.com/

4 Aug 23, 2021
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

Deformable Attention Implementation of Deformable Attention from this paper in Pytorch, which appears to be an improvement to what was proposed in DET

Phil Wang 128 Dec 24, 2022
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.

Balloon Learning Environment Docs The Balloon Learning Environment (BLE) is a simulator for stratospheric balloons. It is designed as a benchmark envi

Google 87 Dec 25, 2022
Laplace Redux -- Effortless Bayesian Deep Learning

Laplace Redux - Effortless Bayesian Deep Learning This repository contains the code to run the experiments for the paper Laplace Redux - Effortless Ba

Runa Eschenhagen 28 Dec 07, 2022
Code implementation of "Sparsity Probe: Analysis tool for Deep Learning Models"

Sparsity Probe: Analysis tool for Deep Learning Models This repository is a limited implementation of Sparsity Probe: Analysis tool for Deep Learning

3 Jun 09, 2021
Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

1 Jun 02, 2022
Decorator for PyMC3

sampled Decorator for reusable models in PyMC3 Provides syntactic sugar for reusable models with PyMC3. This lets you separate creating a generative m

Colin 50 Oct 08, 2021