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Semgrep scanner reference for STO

You can scan repositories using Semgrep, an open-source static analysis engine for detecting dependency vulnerabilities and other issues in your code repositories.

Important notes for running Semgrep scans in STO

Root access requirements

You need to run the scan step with root access if either of the following apply:

  • You need to run a Docker-in-Docker background service. This is required in the following scenarios only:

    • You're using a generic Security step to run an Orchestrated or Extraction scan, rather than a scanner-specific step such as Aqua Trivy, Bandit, etc. (not required for Ingestion scans).

    • You're scanning a container image using an Orchestrated or Extraction scan (not required for Ingestion scans).

  • You need to add trusted certificates to your scan images at runtime.


You can set up your STO scan images and pipelines to run scans as non-root and establish trust for your own proxies using self-signed certificates. For more information, go to Configure STO to Download Images from a Private Registry.

Semgrep step configuration

The recommended workflow is to add a Semgrep step to a Security Tests or CI Build stage and then configure it as described below.

Semgrep scanner template


Scan Mode

This integration supports the following orchestration modes.

  • Ingestion Ingestion scans are not orchestrated. The Security step ingest results from a previous scan (for a scan run in an previous step) and then normallizes and compresses the results.

Scan Configuration

The predefined configuration to use for the scan. All scan steps have at least one configuration.



The target type to scan for vulnerabilities.

  • Repository Scan a codebase repo.

    In most cases, you specify the codebase using a code repo connector that connects to the Git account or repository where your code is stored. For information, go to Create and configure a codebase.


The Identifier that you want to assign to the target you’re scanning in the pipeline. Use a unique, descriptive name such as codebaseAlpha or jsmith/myalphaservice. Using descriptive target names will make it much easier to navigate your scan data in the STO UI.


An identifier for a specific variant to scan, such as the branch name or image tag. This identifier is used to differentiate or group results for a target. Harness maintains a historical trend for each variant.

You can see the target name, type, and variant in the Test Targets UI:

Target name, type, and branch

Ingestion File

The results data file to use when running an Ingestion scan.

Generally an Ingestion scan consists of a scan step (to generate the data file) and an ingestion step (to ingest the data file).

In addition to ingesting scan data in the external scanner's native format, STO steps can also ingest data in SARIF and Harness Custom JSON format.

For more information, go to Ingest Scan Results into an STO Pipeline.

Log Level

The minimum severity of the messages you want to include in your scan logs. You can specify one of the following:

  • INFO

Fail on Severity

Every Security step has a Fail on Severity setting. If the scan finds any vulnerability with the specified severity level or higher, the pipeline fails automatically. You can specify one of the following:

  • HIGH
  • LOW
  • INFO
  • NONE — Do not fail on severity

The YAML definition looks like this: fail_on_severity : critical # | high | medium | low | info | none

Additional Configuration

In the Additional Configuration settings, you can use the following options:

Advanced settings

In the Advanced settings, you can use the following options:

YAML pipeline example

The following pipeline example illustrates an ingestion workflow. It consists of two steps:

  • A Run step that uses a Semgrep container to scan the codebase defined for the pipeline and then publish the results to a SARIF data file.
  • A Semgrep step that ingests the SARIF data.

projectIdentifier: STO
orgIdentifier: default
tags: {}
- stage:
name: semgrep-ingest
identifier: semgrepingest
type: CI
cloneCodebase: true
- step:
type: Run
name: Run_1
identifier: Run_1
shell: Sh
command: semgrep --sarif --config auto -o /harness/results.sarif /harness
SEMGREP_APP_TOKEN: <+secrets.getValue("semgrepkey")>
image: returntocorp/semgrep
memory: 4096M
- step:
type: Semgrep
name: Semgrep_1
identifier: Semgrep_1
mode: ingestion
config: default
name: test
type: repository
variant: test
level: info
file: /harness/results.sarif
type: KubernetesDirect
namespace: harness-delegate-ng
automountServiceAccountToken: true
nodeSelector: {}
os: Linux
identifier: smpsemgrep
name: smp-semgrep
build: <+input>