Skip to main content

Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.

Project description


Semgrep logo

Code scanning at ludicrous speed.

Homebrew PyPI Documentation Join Semgrep community Slack Issues welcome! Star Semgrep on GitHub Docker Pulls Follow @semgrep on Twitter


Semgrep is a fast, open-source, static analysis engine for finding bugs, detecting vulnerabilities in third-party dependencies, and enforcing code standards. Semgrep analyzes code locally on your computer or in your build environment: code is never uploaded. Get started →.

Semgrep CLI image

Language support

Semgrep supports 30+ languages.

Category Languages
GA C# · Go · Java · JavaScript · JSX · JSON · PHP · Python · Ruby · Scala · Terraform · TypeScript · TSX
Beta Kotlin · Rust
Experimental Bash · C · C++ · Clojure · Dart · Dockerfile · Elixir · HTML · Jsonnet · Lisp · Lua · OCaml · R · Scheme · Solidity · Swift · YAML · XML · Generic (ERB, Jinja, etc.)

Getting started 🚀

  1. From the CLI
  2. From the Semgrep Cloud Platform

For beginners, we recommend starting with the Semgrep Cloud Platform because it provides a visual interface, a demo project, result triaging and exploration workflows, and makes setup in CI/CD fast. Scans are still local and code isn't uploaded. Alternatively, you can also start with the CLI without logging in and navigate the terminal output to run one-off searches.

Option 1: Getting started from the CLI

  1. Install Semgrep CLI
# For macOS
$ brew install semgrep

# For Ubuntu/WSL/Linux/macOS
$ python3 -m pip install semgrep

# To try Semgrep without installation run via Docker
$ docker run --rm -v "${PWD}:/src" returntocorp/semgrep semgrep
  1. Go to your app's root directory and run semgrep scan --config auto. This will scan your project with the default settings.

  2. [Optional, but recommended] Run semgrep login to get the login URL for the Semgrep Cloud Platform. Open the login URL in the browser and login.

Option 2: Getting started from the Semgrep Cloud Platform (Recommended)

Semgrep platform image

  1. Register to semgrep.dev

  2. Explore the demo app

  3. Scan your project by navigating to Projects > Scan New Project > Run scan in CI

  4. Select your version control system and follow the wizard to add your project. After this setup, Semgrep will scan your project after every pull request.

  5. [Optional but recommended] If you want to run Semgrep locally, follow the steps in the CLI section.

Notes:

  1. Visit Docs > Running rules to learn more about auto config and other rules.

  2. If there are any issues, please ask us at our Slack channel https://go.semgrep.dev/slack

  3. To run Semgrep Supply Chain, contact the Semgrep team. Visit the full documentation to learn more.

Semgrep Ecosystem

The Semgrep ecosystem includes the following products:

  • Semgrep OSS Engine - The open-source engine at the heart of everything (this project).
  • Semgrep Cloud Platform (SCP) - Deploy, manage, and monitor SAST and SCA at scale using Semgrep, with free and paid tiers. Integrates with continuous integration (CI) providers such as GitHub, GitLab, CircleCI, and more.
  • Semgrep Code - Scan your code with Semgrep's Pro rules and Semgrep Pro Engine to find OWASP Top 10 vulnerabilities and protect against critical security risks specific to your organization. Semgrep Code provides both Community (free) and Team (paid) tiers.
  • Semgrep Supply Chain (SSC) - A high-signal dependency scanner that detects reachable vulnerabilities in open source third-party libraries and functions across the software development life cycle (SDLC). Semgrep Supply Chain is available on Team (paid) tiers.

and:

  • Semgrep Playground - An online interactive tool for writing and sharing rules.
  • Semgrep Registry - 2,000+ community-driven rules covering security, correctness, and dependency vulnerabilities.

Join hundreds of thousands of other developers and security engineers already using Semgrep at companies like GitLab, Dropbox, Slack, Figma, Shopify, HashiCorp, Snowflake, and Trail of Bits.

Semgrep is developed and commercially supported by r2c, a software security company.

Semgrep Rules

Semgrep rules look like the code you already write; no abstract syntax trees, regex wrestling, or painful DSLs. Here's a quick rule for finding Python print() statements.

Run it online in Semgrep’s Playground by clicking here.

Semgrep rule example for finding Python print() statements

Examples

Visit Docs > Rule examples for use cases and ideas.

Use case Semgrep rule
Ban dangerous APIs Prevent use of exec
Search routes and authentication Extract Spring routes
Enforce the use secure defaults Securely set Flask cookies
Tainted data flowing into sinks ExpressJS dataflow into sandbox.run
Enforce project best-practices Use assertEqual for == checks, Always check subprocess calls
Codify project-specific knowledge Verify transactions before making them
Audit security hotspots Finding XSS in Apache Airflow, Hardcoded credentials
Audit configuration files Find S3 ARN uses
Migrate from deprecated APIs DES is deprecated, Deprecated Flask APIs, Deprecated Bokeh APIs
Apply automatic fixes Use listenAndServeTLS

Extensions

Visit Docs > Extensions to learn about using Semgrep in your editor or pre-commit. When integrated into CI and configured to scan pull requests, Semgrep will only report issues introduced by that pull request; this lets you start using Semgrep without fixing or ignoring pre-existing issues!

Documentation

Browse the full Semgrep documentation on the website. If you’re new to Semgrep, check out Docs > Getting started or the interactive tutorial.

Metrics

Using remote configuration from the Registry (like --config=p/ci) reports pseudonymous rule metrics to semgrep.dev.

Using configs from local files (like --config=xyz.yml) does not enable metrics.

To disable Registry rule metrics, use --metrics=off.

The Semgrep privacy policy describes the principles that guide data-collection decisions and the breakdown of the data that are and are not collected when the metrics are enabled.

More

Upgrading

To upgrade, run the command below associated with how you installed Semgrep:

# Using Homebrew
$ brew upgrade semgrep

# Using pip
$ python3 -m pip install --upgrade semgrep

# Using Docker
$ docker pull returntocorp/semgrep:latest

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

semgrep-1.16.0.tar.gz (284.3 kB view details)

Uploaded Source

Built Distributions

semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_11_0_arm64.whl (25.7 MB view details)

Uploaded CPython 3.7 CPython 3.8 CPython 3.9 Python 3.7 Python 3.8 Python 3.9 macOS 11.0+ ARM64

semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_10_14_x86_64.whl (22.3 MB view details)

Uploaded CPython 3.7 CPython 3.8 CPython 3.9 Python 3.7 Python 3.8 Python 3.9 macOS 10.14+ x86-64

semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-any.whl (25.6 MB view details)

Uploaded CPython 3.7 CPython 3.8 CPython 3.9 Python 3.7 Python 3.8 Python 3.9

File details

Details for the file semgrep-1.16.0.tar.gz.

File metadata

  • Download URL: semgrep-1.16.0.tar.gz
  • Upload date:
  • Size: 284.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for semgrep-1.16.0.tar.gz
Algorithm Hash digest
SHA256 a480a880cee2953e68ae828726399d1aaabffe3489219e30af609ccc72e8ed2d
MD5 8d3866530ad8af5825526d125b7666b4
BLAKE2b-256 4783c90088cb1bac530dd9cc280fa3a6eac8a577e7aff89762f41f73028d9dd2

See more details on using hashes here.

File details

Details for the file semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 397f1ede96a66532922525663efba27be9f63ff0370182865ff7df1ab9edac9e
MD5 04160636a1feb95fd13ee0dbaf52e7a1
BLAKE2b-256 b497e4b2e99fcd4a44c0f093ca9092569a5c530888d2315e291291338a818339

See more details on using hashes here.

File details

Details for the file semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 7b1f0a037849fda5d80c06ab36bf6b5c427d975b211d10c4c7c7fe1a7927d597
MD5 424e5b0bdcc3b9047d9c0c2f4db1a143
BLAKE2b-256 b0d43400031af05481b98119b338e9b91ba083df9ab058539898e490b02700f4

See more details on using hashes here.

File details

Details for the file semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-any.whl.

File metadata

File hashes

Hashes for semgrep-1.16.0-cp37.cp38.cp39.py37.py38.py39-none-any.whl
Algorithm Hash digest
SHA256 83fafcea96100ab1051c153ae0b144dc9a73f5f1cc2cc8bd11d486b4e9688271
MD5 fee1b9ebdcbc428fc6098585a1e1c7e8
BLAKE2b-256 446beb81626dcdf60452d0f3d9fa8c856866f7edd33bc7f6e8ab978c249f6304

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page