32 KiB
stage | group | info |
---|---|---|
Secure | Static Analysis | To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments |
Security scanner integration
Integrating a security scanner into GitLab consists of providing end users with a CI job definition they can add to their CI configuration files to scan their GitLab projects. This CI job should then output its results in a GitLab-specified format. These results are then automatically presented in various places in GitLab, such as the Pipeline view, merge request widget, and Security Dashboard.
The scanning job is usually based on a Docker image that contains the scanner and all its dependencies in a self-contained environment.
This page documents requirements and guidelines for writing CI jobs that implement a security scanner, as well as requirements and guidelines for the Docker image.
Job definition
This section describes several important fields to add to the security scanner's job definition file. Full documentation on these and other available fields can be viewed in the CI documentation.
Name
For consistency, scanning jobs should be named after the scanner, in lower case. The job name is suffixed after the type of scanning:
_dependency_scanning
_container_scanning
_dast
_sast
For instance, the dependency scanning job based on the "MySec" scanner would be named mysec_dependency_scanning
.
Image
The image
keyword is used to specify
the Docker image
containing the security scanner.
Script
The script
keyword
is used to specify the commands to run the scanner.
Because the script
entry can't be left empty, it must be set to the command that performs the scan.
It is not possible to rely on the predefined ENTRYPOINT
and CMD
of the Docker image
to perform the scan automatically, without passing any command.
The before_script
should not be used in the job definition because users may rely on this to prepare their projects before performing the scan.
For instance, it is common practice to use before_script
to install system libraries
a particular project needs before performing SAST or Dependency Scanning.
Similarly, after_script
should not be used in the job definition, because it may be overridden by users.
Stage
For consistency, scanning jobs should belong to the test
stage when possible.
The stage
keyword can be omitted because test
is the default value.
Fail-safe
To be aligned with the GitLab Security paradigm,
scanning jobs should not block the pipeline when they fail,
so the allow_failure
parameter should be set to true
.
Artifacts
Scanning jobs must declare a report that corresponds to the type of scanning they perform,
using the artifacts:reports
keyword.
Valid reports are:
dependency_scanning
container_scanning
dast
api_fuzzing
coverage_fuzzing
sast
For example, here is the definition of a SAST job that generates a file named gl-sast-report.json
,
and uploads it as a SAST report:
mysec_sast:
image: registry.gitlab.com/secure/mysec
artifacts:
reports:
sast: gl-sast-report.json
gl-sast-report.json
is an example file path but any other filename can be used. See
the Output file section for more details. It's processed as a SAST report because
it's declared under the reports:sast
key in the job definition, not because of the filename.
Policies
Certain GitLab workflows, such as AutoDevOps, define CI/CD variables to indicate that given scans should be disabled. You can check for this by looking for variables such as:
DEPENDENCY_SCANNING_DISABLED
CONTAINER_SCANNING_DISABLED
SAST_DISABLED
DAST_DISABLED
If appropriate based on the scanner type, you should then disable running the custom scanner.
GitLab also defines a CI_PROJECT_REPOSITORY_LANGUAGES
variable, which provides the list of
languages in the repository. Depending on this value, your scanner may or may not do something different.
Language detection currently relies on the linguist
Ruby gem.
See the predefined CI/CD variables.
Policy checking example
This example shows how to skip a custom Dependency Scanning job, mysec_dependency_scanning
, unless
the project repository contains Java source code and the dependency_scanning
feature is enabled:
mysec_dependency_scanning:
rules:
- if: $DEPENDENCY_SCANNING_DISABLED == 'true'
when: never
- if: $GITLAB_FEATURES =~ /\bdependency_scanning\b/
exists:
- '**/*.java'
Any additional job policy should only be configured by users based on their needs. For instance, predefined policies should not trigger the scanning job for a particular branch or when a particular set of files changes.
Docker image
The Docker image is a self-contained environment that combines the scanner with all the libraries and tools it depends on. Packaging your scanner into a Docker image makes its dependencies and configuration always present, regardless of the individual machine the scanner runs on.
Image size
Depending on the CI infrastructure, the CI may have to fetch the Docker image every time the job runs. For the scanning job to run fast and avoid wasting bandwidth, Docker images should be as small as possible. You should aim for 50 MB or smaller. If that isn't possible, try to keep it below 1.46 GB, which is the size of a DVD-ROM.
If the scanner requires a fully functional Linux environment,
it is recommended to use a Debian "slim" distribution or Alpine Linux.
If possible, it is recommended to build the image from scratch, using the FROM scratch
instruction,
and to compile the scanner with all the libraries it needs.
Multi-stage builds
might also help with keeping the image small.
To keep an image size small, consider using dive to analyze layers in a Docker image to identify where additional bloat might be originating from.
In some cases, it might be difficult to remove files from an image. When this occurs, consider using
Zstandard
to compress files or large directories. Zstandard offers many different compression levels that can
decrease the size of your image with very little impact to decompression speed. It may be helpful to
automatically decompress any compressed directories as soon as an image launches. You can accomplish
this by adding a step to the Docker image's /etc/bashrc
or to a specific user's $HOME/.bashrc
.
Remember to change the entry point to launch a bash login shell if you chose the latter option.
Here are some examples to get you started:
- https://gitlab.com/gitlab-org/security-products/license-management/-/blob/0b976fcffe0a9b8e80587adb076bcdf279c9331c/config/install.sh#L168-170
- https://gitlab.com/gitlab-org/security-products/license-management/-/blob/0b976fcffe0a9b8e80587adb076bcdf279c9331c/config/.bashrc#L49
Image tag
As documented in the Docker Official Images project, it is strongly encouraged that version number tags be given aliases which allows the user to easily refer to the "most recent" release of a particular series. See also Docker Tagging: Best practices for tagging and versioning Docker images.
Command line
A scanner is a command line tool that takes environment variables as inputs, and generates a file that is uploaded as a report (based on the job definition). It also generates text output on the standard output and standard error streams, and exits with a status code.
Variables
All CI/CD variables are passed to the scanner as environment variables. The scanned project is described by the predefined CI/CD variables.
SAST and Dependency Scanning
SAST and Dependency Scanning scanners must scan the files in the project directory, given by the CI_PROJECT_DIR
CI/CD variable.
Container Scanning
To be consistent with the official Container Scanning for GitLab,
scanners must scan the Docker image whose name and tag are given by
CI_APPLICATION_REPOSITORY
and CI_APPLICATION_TAG
. If the DOCKER_IMAGE
CI/CD variable is provided, then the CI_APPLICATION_REPOSITORY
and CI_APPLICATION_TAG
variables
are ignored, and the image specified in the DOCKER_IMAGE
variable is scanned instead.
If not provided, CI_APPLICATION_REPOSITORY
should default to
$CI_REGISTRY_IMAGE/$CI_COMMIT_REF_SLUG
, which is a combination of predefined CI/CD variables.
CI_APPLICATION_TAG
should default to CI_COMMIT_SHA
.
The scanner should sign in the Docker registry
using the variables DOCKER_USER
and DOCKER_PASSWORD
.
If these are not defined, then the scanner should use
CI_REGISTRY_USER
and CI_REGISTRY_PASSWORD
as default values.
Configuration files
While scanners may use CI_PROJECT_DIR
to load specific configuration files,
it is recommended to expose configuration as CI/CD variables, not files.
Output file
Like any artifact uploaded to GitLab CI/CD,
the Secure report generated by the scanner must be written in the project directory,
given by the CI_PROJECT_DIR
CI/CD variable.
It is recommended to name the output file after the type of scanning, and to use gl-
as a prefix.
Since all Secure reports are JSON files, it is recommended to use .json
as a file extension.
For instance, a suggested filename for a Dependency Scanning report is gl-dependency-scanning.json
.
The artifacts:reports
keyword
of the job definition must be consistent with the file path where the Security report is written.
For instance, if a Dependency Scanning analyzer writes its report to the CI project directory,
and if this report filename is depscan.json
,
then artifacts:reports:dependency_scanning
must be set to depscan.json
.
Exit code
Following the POSIX exit code standard, the scanner exits with either 0
for success or 1
for failure.
Success also includes the case when vulnerabilities are found.
When a CI job fails, security report results are not ingested by GitLab, even if the job allows failure. However, the report artifacts are still uploaded to GitLab and available for download in the pipeline security tab.
Logging
The scanner should log error messages and warnings so that users can easily investigate misconfiguration and integration issues by looking at the log of the CI scanning job.
Scanners may use ANSI escape codes
to colorize the messages they write to the Unix standard output and standard error streams.
We recommend using red to report errors, yellow for warnings, and green for notices.
Also, we recommend prefixing error messages with [ERRO]
, warnings with [WARN]
, and notices with [INFO]
.
Logging level
The scanner should filter out a log message if its log level is lower than the
one set in the SECURE_LOG_LEVEL
CI/CD variable. For instance, info
and warn
messages should be skipped when SECURE_LOG_LEVEL
is set to error
. Accepted
values are as follows, listed from highest to lowest:
fatal
error
warn
info
debug
It is recommended to use the debug
level for verbose logging that could be
useful when debugging. The default value for SECURE_LOG_LEVEL
should be set
to info
.
When executing command lines, scanners should use the debug
level to log the command line and its output.
If the command line fails, then it should be logged with the error
log level;
this makes it possible to debug the problem without having to change the log level to debug
and rerun the scanning job.
common logutil
package
If you are using go and
common,
then it is suggested that you use Logrus
and common's logutil
package
to configure the formatter for Logrus.
See the logutil
README
Report
The report is a JSON document that combines vulnerabilities with possible remediations.
This documentation gives an overview of the report JSON format, as well as recommendations and examples to help integrators set its fields. The format is extensively described in the documentation of SAST, DAST, Dependency Scanning, and Container Scanning
You can find the schemas for these scanners here:
Report validation
Introduced in GitLab 15.0.
You must ensure that reports generated by the scanner pass validation against the schema version declared in your reports. Reports that don't pass validation are not ingested by GitLab, and an error message displays on the corresponding pipeline.
Reports that use a deprecated version of the secure report schema are ingested but cause a warning message to display on the corresponding pipeline. If you see this warning, update your analyzer to use the latest available schemas.
After the deprecation period for a schema version, the file is removed from GitLab. Reports that declare removed versions are rejected, and an error message displays on the corresponding pipeline.
If a report uses a PATCH
version that doesn't match any vendored schema version, it is validated against
the latest vendored PATCH
version. For example, if a report version is 14.0.23 and the latest vendored
version is 14.0.6, the report is validated against version 14.0.6.
GitLab uses the
json_schemer
gem to perform validation.
Ongoing improvements to report validation are tracked in this epic.
In the meantime, you can see which versions are supported in the
source code. Remember to pick the correct version for your instance, for example v15.7.3-ee
.
Validate locally
Before running your analyzer in GitLab, you should validate the report produced by your analyzer to ensure it complies with the declared schema version.
Use the script below to validate JSON files against a given schema.
require 'bundler/inline'
gemfile do
source 'https://rubygems.org'
gem 'json_schemer'
end
require 'json'
require 'pathname'
raise 'Usage: ruby script.rb <security schema file name> <report file name>' unless ARGV.size == 2
schema = JSONSchemer.schema(Pathname.new(ARGV[0]))
report = JSON.parse(File.open(ARGV[1]).read)
schema_validation_errors = schema.validate(report).map { |error| JSONSchemer::Errors.pretty(error) }
puts(schema_validation_errors)
- Download the appropriate schema that matches your report type and declared version. For
example, you can find version
14.0.6
of thecontainer_scanning
report schema athttps://gitlab.com/gitlab-org/security-products/security-report-schemas/-/raw/v14.0.6/dist/container-scanning-report-format.json?inline=false
. - Save the Ruby script above in a file, for example,
validate.rb
. - Run the script, passing the schema and report file names as arguments in order. For example:
- Using your local Ruby interpreter:
ruby validate.rb container-scanning-format_14-0-6.json gl-container-scanning-report.json
. - Using Docker:
docker run -it --rm -v $(pwd):/ci ruby:3-slim ruby /ci/validate.rb /ci/container-scanning-format_14-0-6.json /ci/gl-container-scanning-report.json
- Using your local Ruby interpreter:
- Validation errors are shown on the screen. You must resolve these errors before GitLab can ingest your report.
Report Fields
Version
This field specifies which Security Report Schemas version you are using. For information about the versions to use, see releases.
In GitLab 14.10 and later, GitLab validates your report against the version of the schema specified by this value.
The versions supported by GitLab can be found in
gitlab/ee/lib/ee/gitlab/ci/parsers/security/validators/schemas
.
Vulnerabilities
The vulnerabilities
field of the report is an array of vulnerability objects.
ID
The id
field is the unique identifier of the vulnerability.
It is used to reference a fixed vulnerability from a remediation objects.
We recommend that you generate a UUID and use it as the id
field's value.
Category
The value of the category
field matches the report type:
dependency_scanning
container_scanning
sast
dast
Scan
The scan
field is an object that embeds meta information about the scan itself: the analyzer
and scanner
that performed the scan, the start_time
and end_time
the scan executed,
and status
of the scan (either "success" or "failure").
Both the analyzer
and scanner
fields are objects that embeds a human-readable name
and a technical id
.
The id
should not collide with any other analyzers or scanners another integrator would provide.
Scan Primary Identifiers
The scan.primary_identifiers
field is an optional field containing an array of
primary identifiers).
This is an exhaustive list of all rulesets for which the analyzer performed the scan.
Even when the Vulnerabilities
array for a given scan may be empty, this optional field
should contain the complete list of potential identifiers to inform the Rails application of which
rules were executed.
When populated, the Rails application may automatically resolve previously detected vulnerabilities as no longer relevant when their primary identifier is not included.
Name, message, and description
The name
and message
fields contain a short description of the vulnerability.
The description
field provides more details.
The name
field is context-free and contains no information on where the vulnerability has been found,
whereas the message
may repeat the location.
As a visual example, this screenshot highlights where these fields are used when viewing a vulnerability as part of a pipeline view.
For instance, a message
for a vulnerability
reported by Dependency Scanning gives information on the vulnerable dependency,
which is redundant with the location
field of the vulnerability.
The name
field is preferred but the message
field is used
when the context/location cannot be removed from the title of the vulnerability.
To illustrate, here is an example vulnerability object reported by a Dependency Scanning scanner,
and where the message
repeats the location
field:
{
"location": {
"dependency": {
"package": {
"name": "debug"
}
}
},
"name": "Regular Expression Denial of Service",
"message": "Regular Expression Denial of Service in debug",
"description": "The debug module is vulnerable to regular expression denial of service
when untrusted user input is passed into the `o` formatter.
It takes around 50k characters to block for 2 seconds making this a low severity issue."
}
The description
might explain how the vulnerability works or give context about the exploit.
It should not repeat the other fields of the vulnerability object.
In particular, the description
should not repeat the location
(what is affected)
or the solution
(how to mitigate the risk).
Solution
You can use the solution
field to instruct users how to fix the identified vulnerability or to mitigate
the risk. End-users interact with this field, whereas GitLab automatically processes the
remediations
objects.
Identifiers
The identifiers
array describes the detected vulnerability. An identifier object's type
and
value
fields are used to tell if two identifiers are the same.
The user interface uses the object's name
and url
fields to display the identifier.
We recommend that you use the identifiers the GitLab scanners already define:
Identifier | Type | Example value |
---|---|---|
CVE | cve |
CVE-2019-10086 |
CWE | cwe |
CWE-1026 |
ELSA | elsa |
ELSA-2020-0085 |
OSVD | osvdb |
OSVDB-113928 |
OWASP | owasp |
A01:2021–Broken Access Control Design |
RHSA | rhsa |
RHSA-2020:0111 |
USN | usn |
USN-4234-1 |
WASC | wasc |
WASC-19 |
The generic identifiers listed above are defined in the common library, which is shared by some of the analyzers that GitLab maintains. You can contribute new generic identifiers to if needed. Analyzers may also produce vendor-specific or product-specific identifiers, which don't belong in the common library.
The first item of the identifiers
array is called the
primary identifier, and
it is used to
track vulnerabilities as new commits are pushed to the repository.
Not all vulnerabilities have CVEs, and a CVE can be identified multiple times. As a result, a CVE isn't a stable identifier and you shouldn't assume it as such when tracking vulnerabilities.
The maximum number of identifiers for a vulnerability is set as 20. If a vulnerability has more than 20 identifiers, the system saves only the first 20 of them. The vulnerabilities in the Pipeline Security tab do not enforce this limit and all identifiers present in the report artifact are displayed.
Details
The details
field is an object that supports many different content elements that are displayed when viewing vulnerability information. An example of the various data elements can be seen in the security-reports repository.
Location
The location
indicates where the vulnerability has been detected.
The format of the location depends on the type of scanning.
Internally GitLab extracts some attributes of the location
to generate the location fingerprint,
which is used to track vulnerabilities
as new commits are pushed to the repository.
The attributes used to generate the location fingerprint also depend on the type of scanning.
Dependency Scanning
The location
of a Dependency Scanning vulnerability is composed of a dependency
and a file
.
The dependency
object describes the affected package
and the dependency version
.
package
embeds the name
of the affected library/module.
file
is the path of the dependency file that declares the affected dependency.
For instance, here is the location
object for a vulnerability affecting
version 4.0.11
of npm package handlebars
:
{
"file": "client/package.json",
"dependency": {
"package": {
"name": "handlebars"
},
"version": "4.0.11"
}
}
This affected dependency is listed in client/package.json
,
a dependency file processed by npm or yarn.
The location fingerprint of a Dependency Scanning vulnerability
combines the file
and the package name
,
so these attributes are mandatory.
All other attributes are optional.
Container Scanning
Similar to Dependency Scanning,
the location
of a Container Scanning vulnerability has a dependency
and a file
.
It also has an operating_system
field.
For instance, here is the location
object for a vulnerability affecting
version 2.50.3-2+deb9u1
of Debian package glib2.0
:
{
"dependency": {
"package": {
"name": "glib2.0"
},
},
"version": "2.50.3-2+deb9u1",
"operating_system": "debian:9",
"image": "registry.gitlab.com/example/app:latest"
}
The affected package is found when scanning the Docker image registry.gitlab.com/example/app:latest
.
The Docker image is based on debian:9
(Debian Stretch).
The location fingerprint of a Container Scanning vulnerability
combines the operating_system
and the package name
,
so these attributes are mandatory.
The image
is also mandatory.
All other attributes are optional.
SAST
The location
of a SAST vulnerability must have a file
and a start_line
field,
giving the path of the affected file, and the affected line number, respectively.
It may also have an end_line
, a class
, and a method
.
For instance, here is the location
object for a security flaw found
at line 41
of src/main/java/com/gitlab/example/App.java
,
in the generateSecretToken
method of the com.gitlab.security_products.tests.App
Java class:
{
"file": "src/main/java/com/gitlab/example/App.java",
"start_line": 41,
"end_line": 41,
"class": "com.gitlab.security_products.tests.App",
"method": "generateSecretToken1"
}
The location fingerprint of a SAST vulnerability
combines file
, start_line
, and end_line
,
so these attributes are mandatory.
All other attributes are optional.
Tracking and merging vulnerabilities
Users may give feedback on a vulnerability:
- They may dismiss a vulnerability if it doesn't apply to their projects
- They may create an issue for a vulnerability if there's a possible threat
GitLab tracks vulnerabilities so that user feedback is not lost
when new Git commits are pushed to the repository.
Vulnerabilities are tracked using a
UUIDv5
digest, which is generated by a SHA-1
hash of four attributes:
- Report type
- Primary identifier
- Location fingerprint
- Project ID
Right now, GitLab cannot track a vulnerability if its location changes as new Git commits are pushed, and this results in user feedback being lost. For instance, user feedback on a SAST vulnerability is lost if the affected file is renamed or the affected line moves down. This is addressed in issue #7586.
See also deduplication process.
Severity and confidence
The severity
field describes how much the vulnerability impacts the software,
whereas the confidence
field describes how reliable the assessment of the vulnerability is.
The severity is used to sort the vulnerabilities in the security dashboard.
The severity ranges from Info
to Critical
, but it can also be Unknown
.
Valid values are: Unknown
, Info
, Low
, Medium
, High
, or Critical
The confidence ranges from Low
to Confirmed
, but it can also be Unknown
,
Experimental
or even Ignore
if the vulnerability is to be ignored.
Valid values are: Ignore
, Unknown
, Experimental
, Low
, Medium
, High
, or Confirmed
Unknown
values means that data is unavailable to determine it's actual value. Therefore, it may be high
, medium
, or low
,
and needs to be investigated. We have provided a chart
of the available SAST Analyzers and what data is currently available.
Remediations
The remediations
field of the report is an array of remediation objects.
Each remediation describes a patch that can be applied to
resolve
a set of vulnerabilities.
Here is an example of a report that contains remediations.
{
"vulnerabilities": [
{
"category": "dependency_scanning",
"name": "Regular Expression Denial of Service",
"id": "123e4567-e89b-12d3-a456-426655440000",
"solution": "Upgrade to new versions.",
"scanner": {
"id": "gemnasium",
"name": "Gemnasium"
},
"identifiers": [
{
"type": "gemnasium",
"name": "Gemnasium-642735a5-1425-428d-8d4e-3c854885a3c9",
"value": "642735a5-1425-428d-8d4e-3c854885a3c9"
}
]
}
],
"remediations": [
{
"fixes": [
{
"id": "123e4567-e89b-12d3-a456-426655440000"
}
],
"summary": "Upgrade to new version",
"diff": "ZGlmZiAtLWdpdCBhL3lhcm4ubG9jayBiL3lhcm4ubG9jawppbmRleCAwZWNjOTJmLi43ZmE0NTU0IDEwMDY0NAotLS0gYS95Y=="
}
]
}
Summary
The summary
field is an overview of how the vulnerabilities can be fixed. This field is required.
Fixed vulnerabilities
The fixes
field is an array of objects that reference the vulnerabilities fixed by the
remediation. fixes[].id
contains a fixed vulnerability's unique identifier. This field is required.
Diff
The diff
field is a base64-encoded remediation code diff, compatible with
git apply
. This field is required.