Contributing with XCCDFs, OVALs and remediations¶
There are three main types of content in the project, they are rules, defined using the XCCDF standard, checks, usually written in OVAL format, and remediations, that can be executed on ansible, bash, anaconda installer, puppet, ignition and kubernetes. ComplianceAsCode also has its own templating mechanism, allowing content writers to create models and use it to generate a number of checks and remediations.
Contributing¶
Contributions can be made for rules, checks, remediations or even utilities. There are different sets of guidelines for each type, for this reason there is a different topic for each of them.
Rules¶
Rules are input described in YAML which mirrors the XCCDF format (an XML
container). Rules are translated to become members of a Group in an
XML file. All existing rules for Linux products can be found in the
linux_os/guide directory. For non-Linux products (e.g., jre), this
content can be found in the <product>/guide. The exact location
depends on the group (or category) that a rule belongs to.
For an example of rule group, see
linux_os/guide/system/software/disk_partitioning/partition_for_tmp/rule.yml.
The id of this rule is partition_for_tmp; this rule belongs to the
disk_partitioning group, which in turn belongs to the software group
(which in turn belongs to the system group). Because this rule is in
linux_os/guide, it can be shared by all Linux products.
Rules describe the desired state of the system and may contain references if they are parts of higher-level standards. All rules should reflect only a single configuration change for compliance purposes.
Structurally, a rule is a YAML file (which can contain Jinja macros) that represents a dictionary.
A rule YAML file has one implied attribute:
id: The primary identifier for the rule to be referenced from profiles. This is inferred from the file name and links it to checks and fixes with the same file name.
A rule itself contains these attributes:
title: Human-readable title of the rule.rationale: Human-readable HTML description of the reason why the rule exists and why it is important from the technical point of view. For example, rationale of thepartition_for_tmprule states that:The <tt>/tmp</tt> partition is used as temporary storage by many programs. Placing <tt>/tmp</tt> in its own partition enables the setting of more restrictive mount options, which can help protect programs which use it. *
description: Human-readable HTML description, which provides broader context for non-experts than the rationale. For example, description of thepartition_for_tmprule states that:requires: Theidof another rule or group that must be selected and enabled in a profile.conflicts: Theidof another rule or group that must not be selected and disabled in a profile.The <tt>/var/tmp</tt> directory is a world-writable directory used for temporary file storage. Ensure it has its own partition or logical volume at installation time, or migrate it using LVM. *
severity: Is used for metrics and tracking. It can have one of the following values:unknown,info,low,medium, orhigh.Level Description unknownSeverity not defined (default)
infoRule is informational only. Failing the rule doesn’t imply failure to conform to the security guidance of the benchmark.
lowNot a serious problem
mediumFairly serious problem
highGrave or critical problem
When deciding on severity levels, it is best to follow the following guidelines: .Table Vulnerability Severity Category Code Definitions
Severity
DISA Category
Category Code Guidelines
highCAT IAny vulnerability, the exploitation of which will directly and immediately result in loss of Confidentiality, Availability, or Integrity.
mediumCAT IIAny vulnerability, the exploitation of which has a potential to result in loss of Confidentiality, Availability, or Integrity.
lowCAT IIIAny vulnerability, the existence of which degrades measures to protect againstloss of Confidentiality, Availability, or Integrity.
The severity of the rule can be overridden by a profile with
refine-ruleselector. *platform: Defines applicability of a rule. For example, if a rule is not applicable to containers, this should be set tomachine, which means it will be evaluated only if the targeted scan environment is either bare-metal or virtual machine. Also, it can restrict applicability on higher software layers. By setting toshadow-utils, the rule will have its applicability restricted to only environments which haveshadow-utilspackage installed. The available options can be found in the file <product>/cpe/<product>-cpe-dictionary.xml (e.g.: rhel8/cpe/rhel8-cpe-dictionary.xml). In order to support a new value, an OVAL check (ofinventoryclass) must be created undershared/checks/oval/and referenced in the dictionary file. *ocil: Defines asserting statements to check whether or not the rule is valid. *ocil_clause: This attribute contains the statement which describes how to determine whether the statement is true or false. Check outrule.ymlinlinux_os/guide/system/software/disk_partitioning/encrypt_partitions/: this contains apartitions do not have a type of crypto_LUKSvalue forocil_clause. This clause is prefixed with the phrase “It is the case that”.
A rule may contain those reference-type attributes:
identifiers: This is related to products that the rule applies to; this is a dictionary. Currently, only the Common Configuration Enumeration or CCE identifier is supported. Other identifiers can be added as well. Contributions to add these other identifiers are welcomed. The table below shows a list of common identifiers and their current support in a rule:URI Supported Identifier Value Description Yes
Common Configuration Enumeration (CCE) – the identifier value MUST be a CCE version 5 number
No
CPE –the identifier value MUST be a CPE version 2.0 or 2.3 name
No
CVE –the identifier value MUST be a CVE number
No
CERT Coordination Center – the identifier value SHOULD be a CERT advisory identifier (e.g., “CA-2004-02”)
No
US-CERT vulnerability notes database – the identifier value SHOULD be a vulnerability note number (e.g., “709220”)
No
US-CERT technical cyber security alerts –the identifier value SHOULD be a technical cyber security alert ID (e.g., “TA05-189A”)
When the rule is related to RHEL, it should have a CCE. A CEE (e.g. cce@rhel7: CCE-80328-8) is used as a global identifier that maps the rule to the product over the lifetime of a rule. There should only be one CCE mapped to a rule as a global identifier. Any other usage of CCE is no longer considered a best practice. CCEs are also product dependent which means that a different CCE must be used for each different product and product version. For example if
cce@rhel7: 80328-8exists in a rule, that CCE cannot be used for another product or version (e.g. rhel9), and the CCE MUST be retired with the rule. Available CCEs that can be assigned to new rules are listed in theshared/references/cce-rhel-avail.txtfile.references: This is related to the compliance document line items that the rule applies to. These can be attributes such asstigid,srg,nist, etc., whose keys may be modified with a product (e.g.,stigid@rhel7) to restrict what products a reference identifier applies to. Depending on the type of reference (e.g. catalog, rulei, etc.) will depend on how many can be added to a single rule. In addition, certain references in a rule such asstigidonly apply to a certain product and product version; they cannot be used for multiple products and versionsKey Reference Type Mapping to Rule Example Format cis
Center for Internet Security (catalog identifier)
0-to-many, 0-to-1 is preferred
5.2.5
cjis
Criminal Justice Information System (catalog identifier)
0-to-1
5.4.1.1
cui
Controlled Unclassified Information (catalog identifier)
0-to-many, 0-to-1 is preferred
3.1.7
disa
DISA Control Correlation Identifiers (catalog identifier)
0-to-many
CCI-000018,CCI-000172,CCI-001403
srg, vmmsrg, etc.
DISA Security Requirements Guide (catalog identifier)
0-to-many
SRG-OS-000003-GPOS-00004
stigid@<product><product_version>
DISA STIG identifier (rule identifier)
0-to-1
RHEL-07-030874
hipaa
Health Insurance Portability and Accountability Act of 1996 (HIPAA) (catalog identifier)
0-to-many
164.308(a)(1)(ii)(D),164.308(a)(3)(ii)(A)
nist
National Institute for Standards and Technology 800-53 (catalog identifier)
0-to-many
AC-2(4),AC-17(7),AU-1(b)
nist-csf
National Institute for Standards and Technology Cybersecurity Framework (catalog identifier)
0-to-many
DE.AE-3,DE.AE-5,DE.CM-1
ospp
National Information Assurance Partnership (selected control identifier)
0-to-many
FMT_MOF_EXT.1
pcidss
Payment Card Industry Data Security Standard
0-to-many, 0-to-1 is preferred
Req-8.7.c
See
linux_os/guide/system/software/disk_partitioning/encrypt_partitions/rule.ymlfor an example of reference-type attributes as there are others that are not referenced above.
Some of existing rule definitions contain attributes that use macros. There are two implementations of macros:
Jinja macros, that are defined in
shared/macros.jinja, andshared/macros-highlevel.jinja.Legacy XSLT macros, which are defined in
shared/transforms/*.xslt.
For example, the ocil attribute of service_ntpd_enabled uses the
ocil_service_enabled jinja macro. Due to the need of supporting
Ansible output, which also uses jinja, we had to modify control
sequences, so macro operations require one more curly brace. For
example, invocation of the partition macro looks like
{{{ complete_ocil_entry_separate_partition(part="/tmp") }}} - there
are three opening and closing curly braces instead of the two that are
documented in the Jinja guide.
shared/macros.jinja contains specific low-level macros s.a.
systemd_ocil_service_enabled, whereas shared/macros-highlevel.jinja
contains general macros s.a. ocil_service_enabled, that decide which
one of the specialized macros to call based on the actual product being
used.
The macros that are likely to be used in descriptions begin by
describe_, whereas macros likely to be used in OCIL entries begin with
ocil_. Sometimes, a rule requires ocil and ocil_clause to be
specified, and they depend on each other. Macros that begin with
complete_ocil_entry_ were designed for exactly this purpose, as they
make sure that OCIL and OCIL clauses are defined and consistent. Macros
that begin with underscores are not meant to be used in descriptions.
To parametrize rules and remediations as well as Jinja macros, you can
use product-specific variables defined in product.yml in product root
directory. Moreover, you can define implied properties which are
variables inferred from them. For example, you can define a condition
that checks if the system uses yum or dnf as a package manager and
based on that populate a variable containing correct path to the
configuration file. The inferring logic is implemented in
_get_implied_properties in ssg/yaml.py. Constants and mappings used
in implied properties should be defined in ssg/constants.py.
Rules are unselected by default - even if the scanner reads rule
definitions, they are effectively ignored during the scan or
remediation. A rule may be selected by any number of profiles, so when
the scanner is scanning using a profile the rule is included in, the
rule is taken into account. For example, the rule identified by
partition_for_tmp defined in
shared/xccdf/system/software/disk_partitioning.xml is included in the
RHEL7 C2S profile in rhel7/profiles/C2S.xml.
Checks are connected to rules by the oval element and the filename in
which it is found. Remediations (i.e. fixes) are assigned to rules based
on their basename. Therefore, the rule sshd_print_last_log has a
bash fix associated as there is a bash script
shared/fixes/bash/sshd_print_last_log.sh. As there is an Ansible
playbook shared/fixes/ansible/sshd_print_last_log.yml, the rule has
also an Ansible fix associated.
Rule Directories¶
The rule directory simplifies the structure of a rule and all of its associated content by placing it all under a common directory. The structure of a rule directory looks like the following example:
linux_os/guide/system/group/rule_id/rule.yml
linux_os/guide/system/group/rule_id/bash/ol7.sh
linux_os/guide/system/group/rule_id/bash/shared.sh
linux_os/guide/system/group/rule_id/oval/rhel7.xml
linux_os/guide/system/group/rule_id/oval/shared.xml
To be considered a rule directory, it must be a directory contained in a
benchmark pointed to by some product. The directory must have a name
that is the id of the rule, and must contain a file called rule.yml
which is a YAML Rule description as described above. This directory can
then contain the following subdirectories:
anaconda- for Anaconda remediation content, ending in.anacondaansible- for Ansible remediation content, ending in.ymlbash- for Bash remediation content, ending in.shoval- for OVAL check content, ending in.xmlpuppet- for Puppet remediation content, ending in.ppignition- for Ignition remediation content, ending in.ymlkubernetes- for Kubernetes remediation content, ending in.yml
In each of these subdirectories, a file named shared.ext will apply to
all products and be included in all builds, but {{{ product }}}.ext
will only get included in the build for {{{ product }}} (e.g.,
rhel7.xml above will only be included in the build of the rhel7
guide content and not in the ol7 content). Note that .ext must be
substituted for the correct extension for content of that type (e.g.,
.sh for bash content). Further, all of these directories are
optional and will only be searched for content if present. Lastly, the
product naming of content will not override the contents of platform
or prodtype fields in the content itself (e.g., if rhel7 is not
present in the rhel7.xml OVAL check platform specifier, it will be
included in the build artifacts but later removed because it doesn’t
match the platform).
Currently the build system supports both rule files (discussed above)
and rule directories. For example content in this format, please see
rules in linux_os/guide.
To interact with build directories, the ssg.rules and
ssg.rule_dir_stats modules have been created, as well as three
utilities:
utils/rule_dir_json.py- to generate a JSON tree describing the current content of all guidesutils/rule_dir_stats.py- for analyzing the JSON tree and finding information about specific rules, products, or summary statisticsutils/rule_dir_diff.py- for diffing two JSON trees (e.g., before and after a major change), using the same interface asrule_dir_stats.py.
For more information about these utilities, please see their help text.
To interact with rule.yml files and the OVALs inside a rule directory,
the following utilities are provided:
utils/mod_prodtype.py¶
This utility modifies the prodtype field of rules. It supports several commands:
mod_prodtype.py <rule_id> list- list the computed and actual prodtype of the rule specified byrule_id.mod_prodtype.py <rule_id> add <product> [<product> ...]- add additional products to the prodtype of the rule specified byrule_id.mod_prodtype.py <rule_id> remove <product> [<product> ...]- remove products to the prodtype of the rule specified byrule_id.mod_prodtype.py <rule_id> replace <replacement> [<replacement> ...]- do the specified replacement transformations. A replacement transformation is of the formmatch~replacewherematchandreplaceare a comma separated list of products. If all of the products inmatchexist in the originalprodtypeof the rule, they are removed and the products inreplaceare added.
This utility requires an up to date JSON tree created by
rule_dir_json.py.
utils/mod_checks.py¶
This utility modifies the <affected> element of an OVAL check. It
supports several commands on a given rule:
mod_checks.py <rule_id> list- list all OVALs, their computed products, and their actual platforms.mod_checks.py <rule_id> delete <product>- delete the OVAL for the the specified product.mod_checks.py <rule_id> make_shared <product>- moves the product OVAL to the shared OVAL (e.g.,rhel7.xmltoshared.xml).mod_checks.py <rule_id> diff <product> <product>- Performs a diff between two OVALs (product can besharedto diff against the shared OVAL).
In addition, the mod_checks.py utility supports modifying the shared
OVAL with the following commands:
mod_checks.py <rule_id> add <platform> [<platform> ...]- adds the specified platforms to the shared OVAL for the rule specified byrule_id.mod_checks.py <rule_id> remove <platform> [<platform> ...]- removes the specified platforms from the shared OVAL.mod_checks.py <rule_id> replace <replacement> [<replacement ...]- do the specified replacement against the platforms in the shared OVAL. See the description ofreplaceundermod_prodtype.pyfor more information about the format of a replacement.
This utility requires an up to date JSON tree created by
rule_dir_json.py.
utils/mod_fixes.py¶
This utility modifies the <affected> element of a remediation. It
supports several commands on a given rule and for the specified
remediation language:
mod_fixes.py <rule_id> <lang> list- list all fixes, their computed products, and their actual platforms.mod_fixes.py <rule_id> <lang> delete <product>- delete the fix for the specified product.mod_fixes.py <rule_id> <lang> make_shared <product>- moves the product fix to the shared fix (e.g.,rhel7.shtoshared.sh).mod_fixes.py <rule_id> <lang> diff <product> <product>- Performs a diff between two fixes (product can besharedto diff against the shared fix).
In addition, the mod_fixes.py utility supports modifying the shared
fixes with the following commands:
mod_fixes.py <rule_id> <lang> add <platform> [<platform> ...]- adds the specified platforms to the shared fix for the rule specified byrule_id.mod_fixes.py <rule_id> <lang> remove <platform> [<platform> ...]- removes the specified platforms from the shared fix.mod_fixes.py <rule_id> <lang> replace <replacement> [<replacement ...]- do the specified replacement against the platforms in the shared fix. See the description ofreplaceundermod_prodtype.pyfor more information about the format of a replacement.
This utility requires an up to date JSON tree created by
rule_dir_json.py.
utils/add_platform_rule.py¶
This utility can be used to bootstrap and test Kubernetes/OpenShift application checks. See the help output for more detailed usage examples of each of the supported subcommands:
utils/add_platform_rule.py create --rule=<rule_name> <options>- creates files for a new rule.utils/add_platform_rule.py test --rule=<rule_name> <options>- tests a rule against local files using an oscap container.utils/add_platform_rule.py cluster-test --rule=<rule_name> <options>tests a rule against a running OCP4 cluster using compliance-operator.
This utility requires the following:
KUBECONFIG env set to a kubeconfig file for a running OCP4 cluster.
ocandpodmanin PATH.
Tips:
The –yamlpath option requires a specialized format to specify the resource element to check. See https://github.com/OpenSCAP/yaml-filter/wiki/YAML-Path-Definition for documentation.
To use the local
testsubcommand, first create a yaml file under a directory structure under /tmp that mirrors the API path. For example, if the resource’s full path is /api/v1/foo, save the yaml to /tmp/api/v1/foo. Runningtestwill then check the rule against the local file by launching an openscap-1.3.3 container using podman.
Checks¶
Checks are used to evaluate a Rule. They are written using a custom OVAL syntax and are stored as xml files inside the checks/oval directory for the desired platform. During the building process, the system will transform the checks in OVAL compliant checks.
In order to create a new check, you must create a file in the appropriate directory, and name it the same as the Rule id. This id will also be used as the OVAL id attribute. The content of the file should follow the OVAL specification with these exceptions:
The root tag must be
<def-group>If the OVAL check has to be a certain OVAL version, you can add
oval_version="oval_version_number"as an attribute to the root tag. Otherwise ifoval_versiondoes not exist in<def-group>, it is assumed that the OVAL file applies to any OVAL version.Don’t use the tags
<definitions><tests><objects><states>, instead, put the tags<definition><*_test><*_object><*_state>directly inside the<def-group>tag.TODO Namespaces
This is an example of a check, written using the custom OVAL syntax, that checks if the group that owns the file /etc/cron.allow is the root:
<def-group oval_version="5.11">
<definition class="compliance" id="file_groupowner_cron_allow" version="1">
<metadata>
<title>Verify group who owns 'cron.allow' file</title>
<affected family="unix">
<platform>Red Hat Enterprise Linux 7</platform>
</affected>
<description>The /etc/cron.allow file should be owned by the appropriate
group.</description>
</metadata>
<criteria>
<criterion test_ref="test_groupowner_etc_cron_allow" />
</criteria>
</definition>
<unix:file_test check="all" check_existence="any_exist"
comment="Testing group ownership /etc/cron.allow" id="test_groupowner_etc_cron_allow"
version="1">
<unix:object object_ref="object_groupowner_cron_allow_file" />
<unix:state state_ref="state_groupowner_cron_allow_file" />
</unix:file_test>
<unix:file_state id="state_groupowner_cron_allow_file" version="1">
<unix:group_id datatype="int">0</unix:group_id>
</unix:file_state>
<unix:file_object comment="/etc/cron.allow"
id="object_groupowner_cron_allow_file" version="1">
<unix:filepath>/etc/cron.allow</unix:filepath>
</unix:file_object>
Macros¶
oval_sshd_config- check a parameter and value in the sshd configuration fileoval_grub_config- check a parameter and value in the grub configuration fileoval_check_config_file- check a parameter and value in a given configuration fileoval_check_ini_file- check a parameter and value in a given section of a given configuration file in “INI” format
Always consider reusing oval_check_config_file when creating new
macros, it has some logic that will save you some time (e.g.: platform
applicability).
They also include several low-level macros which are used to build the high level macros:
set of low-level macros to build the OVAL checks for line in file:
oval_line_in_file_criterion
oval_line_in_file_test
oval_line_in_file_object
oval_line_in_file_state
set of low-level macros to build the OVAL checks to test if a file exists:
oval_config_file_exists_criterion
oval_config_file_exists_test
oval_config_file_exists_object
Platform applicability¶
Whenever possible, please reuse the macros and form high-level simplifications.
Remediations¶
Remediations, also called fixes, are used to change the state of the machine, so that previously non-passing rules can pass. There can be multiple versions of the same remediation meant to be executed by different applications, more specifically Ansible, Bash, Anaconda, Puppet, Ignition and Kubernetes. By default all remediation languages are built and included in the DataStream.
But each product can specify its own set of remediation to include in
the DataStream via a CMake Variable in the product’s CMakeLists.txt.
See example below, from OCP4 product, ocp4/CMakeLists.txt:
set(PRODUCT_REMEDIATION_LANGUAGES "ignition;kubernetes")
They also have to be idempotent, meaning that they must be able to be executed multiple times without causing the fixes to accumulate. The Ansible’s language works in such a way that this behavior is built-in, however, for the other versions, the remediations must have it implemented explicitly. Remediations also carry metadata that should be present at the beginning of the files. This meta data will be converted in XCCDF tags during the building process. That is how it looks like and what it means:
# platform = multi_platform_all
# reboot = false
# strategy = restrict
# complexity = low
# disruption = low
| Field | Description | Accepted values |
|---|---|---|
platform |
CPE name, CPE applicability language expression or even wildcards declaring which platforms the fix can be applied |
Default CPE dictionary is packaged along with openscap. Custom CPE dictionaries can be used. Wildcards are multi_platform_[all, oval, fedora, debian, ubuntu, linux, rhel, openstack, opensuse, rhev, sle]. |
reboot |
Whether or not a reboot is necessary after the fix |
true, false |
strategy |
The method or approach for making the described fix. Only informative for now |
unknown, configure, disable, enable, patch, policy, restrict, update |
complexity |
The estimated complexity or difficulty of applying the fix to the target. Only informative for now |
unknown, low, medium, high |
disruption |
An estimate of the potential for disruption or operational degradation that the application of this fix will impose on the target. Only informative for now |
unknown, low, medium, high |
Ansible¶
Important
The minimum version of Ansible must be at the latest supported version. See https://access.redhat.com/support/policy/updates/ansible-engine for information on the supported Ansible versions.
Ansible remediations are either:
Stored as
.ymlfiles in directoryansiblein the rule directory.Generated from templates.
Generated using jinja2 macros.
They are meant to be executed by Ansible itself when requested by openscap, so they are written using Ansible’s own language with the following exceptions:
The remediation content must be only the tasks section of what would be a playbook.
Tasks can include blocks for grouping related tasks.
The
whenclause will get augmented in certain scenarios.
Notifications and handlers are not supported.
Tags are not necessary, because they are automatically generated during build of content.
Here is an example of an Ansible remediation that ensures the SELinux is enabled in grub:
# platform = multi_platform_rhel,multi_platform_fedora
# reboot = false
# strategy = restrict
# complexity = low
# disruption = low
- name: Ensure SELinux Not Disabled in /etc/default/grub
replace:
dest: /etc/default/grub
regexp: selinux=0
The Ansible remediation will get included by our build system to the
SCAP datastream in the fix element of respective rule.
The build system generates an Ansible Playbook from the remediation for
all profiles. The generated Playbook is located in
/build/<product>/playbooks/<profile_id>/<rule_id>.yml.
For each rule in the given product we also generate an Ansible Playbook
regardless presence of the rule in any profile. The generated Playbook
is located in /build/<product>/playbooks/all/<rule_id>.yml. The
/build/<product>/playbooks/all/ directory represents the virtual
(all) profile which consists of all rules in the product. Due to
undefined XCCDF Value selectors in this pseudo-profile, these Playbooks
use defaults of XCCDF Values when applicable.
We also build profile Playbook that contains tasks for all rules in the
profile. The Playbook is generated in
/build/ansible/<product>-playbook-<profile_id>.yml.
Jinja macros for Ansible content are located in
/shared/macros-ansible.jinja. These currently include the following
high-level macros:
ansible_sshd_set- set a parameter in the sshd configurationansible_etc_profile_set- ensure a command gets executed or a variable gets set in /etc/profile or /etc/profile.dansible_tmux_set- set a command in tmux configurationansible_deregexify_banner_etc_issue- Formats a banner regex for use in /etc/issueansible_deregexify_banner_dconf_gnome- Formats a banner regex for use in dconf
They also include several low-level macros:
ansible_lineinfile- ensure a line is in a given fileansible_stat- check the status of a path on the file systemansible_find- find all files with matched contentansible_only_lineinfile- ensure that no lines matching the regex are present and add the given lineansible_set_config_file- for configuration files; set the given configuration value and ensure no conflicting valuesansible_set_config_file_dir- for configuration files and files in configuration directories; set the given configuration value and ensure no conflicting values
Low level macros to make login banner regular expressions usable in Ansible remediations
ansible_deregexify_multiple_banners- Strips multibanner regex and keeps only the first banneransible_deregexify_banner_space- Strips whitespace or newline regexansible_deregexify_banner_newline- Strips newline or newline escape sequence regexansible_deregexify_banner_newline_token- Strips newline token for a newline escape sequence regexansible_deregexify_banner_backslash- Strips backslash regex
When msg is absent from any of the above macros, rule title will be
substituted instead.
Whenever possible, please reuse the macros and form high-level simplifications. This ensures consistent, high quality remediations that we can edit in one place and reuse in many places.
Bash¶
Bash remediations are stored as shell script files in bash directory in rule directory. You can make use of any available command, but beware of too specific or complex solutions, as it may lead to a narrow range of supported platforms. There are a number of already written bash remediations functions available in shared/bash_remediation_functions/ directory, it is possible one of them is exactly what you are looking for.
Following, you can see an example of a bash remediation that sets the maximum number of days a password may be used:
# platform = Red Hat Enterprise Linux 7
. /usr/share/scap-security-guide/remediation_functions
populate var_accounts_maximum_age_login_defs
grep -q ^PASS_MAX_DAYS /etc/login.defs && \
sed -i "s/PASS_MAX_DAYS.*/PASS_MAX_DAYS $var_accounts_maximum_age_login_defs/g" /etc/login.defs
if [ $? -ne 0 ]; then
echo "PASS_MAX_DAYS $var_accounts_maximum_age_login_defs" >> /etc/login.defs
fi
When writing new bash remediations content, please follow the following guidelins:
Use four spaces for indentation rather than tabs.
You can use macros from
shared/macros-bash.jinjain the remediation content. If the macro is used from a nested block, use theindentjinja2 filter assuming the 4-space indentation. Typically, you want to call the macro with the intended indentation, and asindentdoesn’t indent the first line by default, you just pass the number of spaces as the only argument. See the remediation for ruleensure_fedora_gpgkey_installedfor reference.Prefer to use
sedrather thanawk.Try to keep expressions simple, avoid double negations. Use compound lists with moderation and only if you understand them.
Test your script in the “strict mode” with
set -e -o pipefailspecified at the top of it. Make sure that the script doesn’t end prematurely in the strict mode.Beware of constructs such as
[ $x = 1 ] && echo "$x is one"as they violate the previous point.[ $x != 1 ] || echo "$x is one"is OK.Use the
diefunction defined inremediation_functionsto handle exceptions, such as[ -f "$config_file" ] || die "Couldn't find the configuration file '$config_file'".Run
shellcheckover your remediation script. Make sure that you fix all warnings that are applicable. If you are not sure, mention those warnings in the pull request description.Use POSIX syntax in regular expressions, so prefer
grep '^[[:space:]]*something'overgrep '^\s*something'.
Jinja macros that generate Bash remediations can be found in
shared/macros-bash.jinja.
Available high-level Jinja macros to generate Bash remediations:
bash_sshd_config_set- Set SSH Daemon configuration option in/etc/ssh/sshd_config.bash_auditd_config_set- Set Audit Daemon option in/etc/audit/auditd.conf.bash_coredump_config_set- Set Coredump configuration in/etc/systemd/coredump.confbash_package_install- Install a packagebash_package_remove- Remove a packagebash_disable_prelink- disables prelinkingbash_dconf_settings- configure DConf settings for RHEL and Fedora systemsbash_dconf_lock- configure DConf locks for RHEL and Fedora systemsbash_service_command- enable or disable a service (either with systemctl or xinet.d)bash_firefox_js_setting- configure a setting in a Mozilla Firefox JavaScript configuration file.bash_firefox_cfg_setting- configure a setting in a Mozilla Firefox configuration file.
Available low-level Jinja macros that can be used in Bash remediations:
die- Function to terminate the remediationset_config_file- Add an entry to a text configuration file
Low level macros to make login banner regular expressions usable in Bash remediations
bash_deregexify_multiple_banners- Strips multibanner regex and keeps only the first bannerbash_deregexify_banner_space- Strips whitespace or newline regexbash_deregexify_banner_newline- Strips newline or newline escape sequence regexbash_deregexify_banner_newline_token- Strips newline token for a newline escape sequence regexbash_deregexify_banner_backslash- Strips backslash regex
Kubernetes¶
Jinja macros for Kubernetes content are located in
/shared/macros-kubernetes.jinja. These currently include the following
high-level macros:
kubernetes_sshd_set- Set SSH Daemon configuration file in/etc/ssh/sshd_config.
Available low-level Jinja macros that can be used in Kubernetes remediations:
kubernetes_machine_config_file- Set a configuration file to a given path
Templating¶
Writing OVAL checks, Bash, or any other content can be tedious work. For
certain types of rules we provide templates. If there is a template that
can be used for the new rule you only need to specify the template name
and its parameters in rule.yml and the content will be generated
during the build.
The templating system currently supports generating OVAL checks and
Ansible, Bash, Anaconda, Puppet, Ignition and Kubernetes remediations.
All templates can be found in
shared/templates directory. The files
are named template_<TYPE>_<NAME>, where <TYPE> should be OVAL,
ANSIBLE, BASH, ANACONDA, PUPPET, IGNITION and KUBERNETES and <NAME> is
the template name.
Using Templates¶
To use a template in rule.yml add template: key there and fill it
accordingly. The general form is the following:
template:
name: template_name
vars:
param_name: value # these parameters are individual for each template
param_name@rhel7: value1
param_name@rhel8: value2
backends: # optional
ansible: "off"
bash: "on" # on is implicit value
The vars: key contains template parameters and their values which will
be substituted into the template. Each template has specific parameters.
To use different values of parameters based on product, append @
followed by product ID to the parameter name.
The backends: key is optional. By default, all languages supported by
a given template will be generated. with given name exist will be
generated. This key can be used to explicitly opt out from generating a
certain type of content for the rule.
For example, to generate templated content except Bash remediation for
rule “Package GCC is Installed” using package_installed template, add
the following to rule.yml:
template:
name: package_installed
vars:
pkgname: gcc
backends:
bash: "off"
Important
The build system does not support implicit conversion of bool strings when Python 2 is used, so
bash: Trueargument in the example above would cause a build error. One should always use quoted strings as arguments until Python 2 is completely removed from the list of supported interpreters.
Available Templates¶
accounts_password¶
Checks if PAM enforces password quality requirements. Checks the configuration in
/etc/pam.d/system-auth(for RHEL 6 systems) or/etc/security/pwquality.conf(on other systems).Parameters:
variable - PAM
pam_cracklib(on RHEL 6) orpam_pwquality(on other systems) module name, eg.ucredit,ocreditoperation - OVAL operation, eg.
less than or equal
Languages: OVAL
auditd_lineinfile¶
Checks configuration options of the Audit Daemon in
/etc/audit/auditd.conf.Parameters:
parameter - auditd configuration item
value - the value of configuration item specified by parameter
missing_parameter_pass - effective only in OVAL checks, if set to
"false"and the parameter is not present in the configuration file, the OVAL check will return false (default value:"false").
Languages: Ansible, Bash, OVAL
audit_rules_dac_modification¶
Checks Audit Discretionary Access Control rules
Parameters:
attr - value of
-Sargument in Audit rule, eg.chmod
Languages: Ansible, Bash, OVAL, Kubernetes
audit_rules_file_deletion_events¶
Ensure auditd Collects file deletion events
Parameters:
name - value of
-Sargument in Audit rule, eg.unlink
Languages: Ansible, Bash, OVAL
audit_rules_login_events¶
Checks if there are Audit rules that record attempts to alter logon and logout events.
Parameters:
path - value of
-win the Audit rule, eg./var/run/faillock
Languages: Ansible, Bash, OVAL, Kubernetes
audit_rules_path_syscall¶
Check if there are Audit rules to record events that modify user/group information via a syscall on a specific file.
Parameters:
path - path of the protected file, eg
/etc/shadowpos - position of argument, eg.
a2syscall - name of the system call, eg.
openat
Languages: Ansible, Bash, OVAL
audit_rules_privileged_commands¶
Ensure Auditd collects information on the use of specified privileged command.
Parameters:
path - the path of the privileged command - eg.
/usr/bin/mount
Languages: Ansible, Bash, OVAL, Kubernetes
audit_file_contents¶
Ensure that audit
.rulesfile specified by parameterfilepathcontains the contents specified in parametercontents.Parameters:
filepath - path to audit rules file, e.g.:
/etc/audit/rules.d/10-base-config.rulescontents - expected contents of the file
Languages: Ansible, Bash, OVAL
audit_rules_unsuccessful_file_modification¶
Ensure there is an Audit rule to record unsuccessful attempts to access files
Parameters:
name - name of the unsuccessful system call, eg.
creat
Languages: Ansible, Bash, OVAL
audit_rules_unsuccessful_file_modification_o_creat¶
Ensure there is an Audit rule to record unsuccessful attempts to access files when O_CREAT flag is specified.
Parameters:
syscall - name of the unsuccessful system call, eg.
openatpos - position of the O_CREAT argument in the syscall, as specified by
-Faudit rule argument, eg.a2
Languages: OVAL
audit_rules_unsuccessful_file_modification_o_trunc_write¶
Ensure there is an Audit rule to record unsuccessful attempts to access files when O_TRUNC_WRITE flag is specified.
Parameters:
syscall - name of the unsuccessful system call, eg.
openatpos - position of the O_TRUNC_WRITE argument in the syscall, as specified by
-Faudit rule argument, eg.a2
Languages: OVAL
audit_rules_unsuccessful_file_modification_rule_order¶
Ensure that Audit rules for unauthorized attempts to use a specific system call are ordered correctly.
Parameters:
syscall - name of the unsuccessful system call, eg.
openatpos - position of the flag parameter in the syscall, as specified by
-Faudit rule argument, eg.a2
Languages: OVAL
audit_rules_usergroup_modification¶
Check if Audit is configured to record events that modify account changes.
Parameters:
path - path that should be part of the audit rule as a value of
-wargument, eg./etc/group.
Languages: Ansible, Bash, OVAL
argument_value_in_line¶
Checks that
argument=valuepair is present in (optionally) the line started with line_prefix (and, optionally, ending with line_suffix) in the file(s) defined by filepath.Parameters:
filepath - File(s) to be checked. The value would be treated as a regular expression pattern.
arg_name - Argument name, eg.
auditarg_value - Argument value, eg.
'1'line_prefix - The prefix of the line in which argument-value pair should be present, optional.
line_suffix - The suffix of the line in which argument-value pair should be present, optional.
Languages: OVAL
file_groupowner¶
Check group that owns the given file.
Parameters:
filepath - File path to be checked. If the file path ends with
/it describes a directory.filepath_is_regex - If set to
"true"the OVAL will consider the value of filepath as a regular expression.missing_file_pass - If set to
"true"the OVAL check will pass when file is absent. Default value is"false".file_regex - Regular expression that matches file names in a directory specified by filepath. Can be set only if filepath parameter specifies a directory. Note: Applies to base name of files, so if a file
/foo/bar/file.txtis processed, onlyfile.txtis tested against file_regex.filegid - group ID (GID)
Languages: Ansible, Bash, OVAL
file_owner¶
Check user that owns the given file.
Parameters:
filepath - File path to be checked. If the file path ends with
/it describes a directory.filepath_is_regex - If set to
"true"the OVAL will consider the value of filepath as a regular expression.missing_file_pass - If set to
"true"the OVAL check will pass when file is absent. Default value is"false".file_regex - Regular expression that matches file names in a directory specified by filepath. Can be set only if filepath parameter specifies a directory. Note: Applies to base name of files, so if a file
/foo/bar/file.txtis processed, onlyfile.txtis tested against file_regex.fileuid - user ID (UID)
Languages: Ansible, Bash, OVAL
file_permissions¶
Checks permissions (mode) on a given file.
Parameters:
filepath - File path to be checked. If the file path ends with
/it describes a directory.filepath_is_regex - If set to
"true"the OVAL will consider the value of filepath as a regular expression.missing_file_pass - If set to
"true"the OVAL check will pass when file is absent. Default value is"false".file_regex - Regular expression that matches file names in a directory specified by filepath. Can be set only if filepath parameter specifies a directory. Note: Applies to base name of files, so if a file
/foo/bar/file.txtis processed, onlyfile.txtis tested against file_regex.filemode - File permissions in a hexadecimal format, eg.
'0640'.
Languages: Ansible, Bash, OVAL
grub2_bootloader_argument¶
Checks kernel command line arguments in GRUB 2 configuration.
Parameters:
arg_name - argument name, eg.
auditarg_value - argument value, eg.
'1'
Languages: Ansible, Bash, OVAL
kernel_module_disabled¶
Checks if the given Linux kernel module is disabled.
Parameters:
kernmodule - name of the Linux kernel module, eg.
cramfs
Languages: Ansible, Bash, OVAL
mount¶
Checks that a given mount point is located on a separate partition.
Parameters:
mountpoint - path to the mount point, eg.
/var/tmp
Languages: Anaconda, OVAL
mount_option¶
Checks if a given partition is mounted with a specific option such as “nosuid”.
Parameters:
mountpoint - mount point on the filesystem eg.
/dev/shmmountoption - mount option, eg.
nosuidfilesystem - filesystem in
/etc/fstab, eg.tmpfs. Used only in Bash remediation.type - filesystem type. Used only in Bash remediation.
mount_has_to_exist - Specifies if the mountpoint entry has to exist in
/etc/fstabbefore the remediation is executed. If set toyesand the mountpoint entry is not present in/etc/fstabthe Bash remediation terminates. If set tonothe mountpoint entry will be created in/etc/fstab.
Languages: Anaconda, Ansible, Bash, OVAL
mount_option_remote_filesystems¶
Checks if all remote filesystems (NFS mounts in
/etc/fstab) are mounted with a specific option.Parameters:
mountpoint - always set to
remote_filesystemsmountoption - mount option, eg.
nodevfilesystem - filesystem of new mount point (used when adding new entry in
/etc/fstab), eg.tmpfs. Used only in Bash remediation.mount_has_to_exist - Used only in Bash remediation. Specifies if the mountpoint entry has to exist in
/etc/fstabbefore the remediation is executed. If set toyesand the mountpoint entry is not present in/etc/fstabthe Bash remediation terminates. If set tonothe mountpoint entry will be created in/etc/fstab.
Languages: Ansible, Bash, OVAL
mount_option_removable_partitions¶
Checks if all removable media mounts are mounted with a specific option. Unlike other mount option templates, this template doesn’t use the mount point, but the block device. The block device path (eg.
/dev/cdrom) is always set tovar_removable_partition. This is an XCCDF Value, defined in var_removable_partition.varParameters:
mountoption - mount option, eg.
nodev
Languages: Anaconda, Ansible, Bash, OVAL
package_installed¶
Checks if a given package is installed. Optionally, it can also check whether a specific version or newer is installed.
Parameters:
pkgname - name of the RPM or DEB package, eg.
tmuxevr - Optional parameter. It can be used to check if the package is of a specific version or newer. Provide epoch, version, release in
epoch:version-releaseformat, eg.0:2.17-55.0.4.el7_0.3. Used only in OVAL checks. The OVAL state uses operation “greater than or equal” to compare the collected package version with the version in the OVAL state.
Languages: Anaconda, Ansible, Bash, OVAL, Puppet
package_removed¶
Checks if the given package is not installed.
Parameters:
pkgname - name of the RPM or DEB package, eg.
tmux
Languages: Anaconda, Ansible, Bash, OVAL, Puppet
sebool¶
Checks values of SELinux booleans.
Parameters:
seboolid - name of SELinux boolean, eg.
cron_userdomain_transitionsebool_bool - the value of the SELinux Boolean. Can be either
"true"or"false". If this parameter is not specified, the rule will use XCCDF Valuevar_<seboolid>. These XCCDF Values are usually defined in the same directory where therule.ymlthat describes the rule is located. The seboolid will be replaced by a SELinux boolean, for example:selinuxuser_execheapand in the profile you can usevar_selinuxuser_execheapto turn on or off the SELinux boolean.
Languages: Ansible, Bash, OVAL
service_disabled¶
Checks if a service is disabled. Uses either systemd or SysV init based on the product configuration in
product.yml.Parameters:
servicename - name of the service.
packagename - name of the package that provides this service. This argument is optional. If packagename is not specified it means the name of the package is the same as the name of service.
daemonname - name of the daemon. This argument is optional. If daemonname is not specified it means the name of the daemon is the same as the name of service.
Languages: Ansible, Bash, OVAL, Puppet, Ignition, Kubernetes
service_enabled¶
Checks if a system service is enabled. Uses either systemd or SysV init based on the product configuration in
product.yml.Parameters:
servicename - name of the service.
packagename - name of the package that provides this service. This argument is optional. If packagename is not specified it means the name of the package is the same as the name of service.
daemonname - name of the daemon. This argument is optional. If daemonname is not specified it means the name of the daemon is the same as the name of service.
Languages: Ansible, Bash, OVAL, Puppet
shell_lineinfile¶
Checks shell variable assignments in files. Remediations will paste assignments with single shell quotes unless there is the dollar sign in the value string, in which case double quotes are administered. The OVAL checks for a match with either of no quotes, single quoted string, or double quoted string.
Parameters:
path - What file to check.
parameter - name of the shell variable, eg.
SHELL.value - value of the SSH configuration option specified by parameter, eg.
"/bin/bash". Don’t pass extra shell quoting - that will be handled on the lower level.no_quotes - If set to
"true", the assigned value has to be without quotes during the check and remediation doesn’t quote assignments either.missing_parameter_pass - effective only in OVAL checks, if set to
"false"and the parameter is not present in the configuration file, the OVAL check will return false (default value:"false").
Languages: Ansible, Bash, OVAL
Example: A template invocation specifying that parameter
HISTSIZEshould be set to value500in/etc/profilewill produce a check that passes if any of the following lines are present in/etc/profile:HISTSIZE=500HISTSIZE="500"HISTSIZE='500'The remediation would insert one of the quoted forms if the line was not present.
If the
no_quoteswould be set in the template, only the first form would be checked for, and the unquoted assignment would be inserted to the file by the remediation if not present.
sshd_lineinfile¶
Checks SSH server configuration items in
/etc/ssh/sshd_config.Parameters:
parameter - name of the SSH configuration option, eg.
KerberosAuthenticationvalue - value of the SSH configuration option specified by parameter, eg.
"no".missing_parameter_pass - effective only in OVAL checks, if set to
"false"and the parameter is not present in the configuration file, the OVAL check will return false (default value:"false").
Languages: Ansible, Bash, OVAL, Kubernetes
sysctl¶
Checks sysctl parameters. The OVAL definition checks both configuration and runtime settings and require both of them to be set to the desired value to return true.
Parameters:
sysctlvar - name of the sysctl value, eg.
net.ipv4.conf.all.secure_redirects.datatype - data type of the sysctl value, eg.
int.sysctlval - value of the sysctl value, eg.
'1'. If this parameter is not specified, XCCDF Value is used instead.
Languages: Ansible, Bash, OVAL
timer_enabled¶
Checks if a SystemD timer unit is enabled.
Parameters:
timername - name of the SystemD timer unit, without the
timersuffix, eg.dnf-automatic.packagename - name of the RPM package which provides the SystemD timer unit. This parameter is optional, if it is not provided it is assumed that the name of the RPM package is the same as the name of the SystemD timer unit.
Languages: Ansible, Bash, OVAL
yamlfile_value¶
Check if value(s) of certain type is (are) present in a YAML (or JSON) file at a given path.
Parameters:
ocp_data - if set to
"true"then the filepath would be treated as a part of the dump of OCP configuration with theocp_data_rootprefix; optional.filepath - full path to the file to check
yamlpath - OVAL’s YAML Path expression.
entity_check (CheckEnumeration) - entity_check value for state’s value, optional. If omitted, entity_check attribute would not be set and will be treated by OVAL as all. Possible options are
all,at least one,none satisfyandonly one.check_existence (ExistenceEnumeration) -
check_existencevalue for theyamlfilecontent_test, optional. If omitted, check_existence attribute will default to only_one_exists. Possible options areall_exist,any_exist,at_least_one_exists,none_exist,only_one_exists.values - a list of dictionaries with values to check, where:
key - the yaml key to check, optional. Used when the yamlpath expression yields a map.
value - the value to check.
type (SimpleDatatypeEnumeration) - datatype for state’s field (child of value), optional. If omitted, datatype would be treated as OVAL’s default string. Most common datatypes are
stringandint. For complete list check reference link.operation (OperationEnumeration) - operation value for state’s field (child of value), optional. If omitted, operation attribute would not be set. OVAL’s default operation is equals. Most common operations are
equals,not equal,pattern match,greater than or equalandless than or equal. For complete list of operations check the reference link.entity_check (CheckEnumeration) - entity_check value for state’s field (child of value), optional. If omitted, entity_check attribute would not be set and will be treated by OVAL as all. Possible options are
all,at least one,none satisfyandonly one.
Languages: OVAL
Creating Templates¶
The offer of currently available templates can be extended by developing a new template.
Create the template files, one for each type of file. Each one should be named
template_<TYPE>_<NAME>. Where<TYPE>should be OVAL, ANSIBLE, BASH, ANACONDA or PUPPET and<NAME>is the what we will call the template name. Create these files in shared/templates directory.
Use the Jinja syntax we use elsewhere in the project; refer to the
earlier section on Jinja macros for more information. The parameters
should be named using uppercase letters, because the keys from
rule.yml are converted to uppercase by the code that substitutes the
parameters to the template.
Notice that OVAL should be written in shorthand format. This is an example of an OVAL template file called template_OVAL_package_installed:
<def-group>
<definition class="compliance" id="package_{{{ PKGNAME }}}_installed"
version="1">
<metadata>
<title>Package {{{ PKGNAME }}} Installed</title>
<affected family="unix">
<platform>multi_platform_all</platform>
</affected>
<description>The {{{ pkg_system|upper }}} package {{{ PKGNAME }}} should be installed.</description>
</metadata>
<criteria>
<criterion comment="package {{{ PKGNAME }}} is installed"
test_ref="test_package_{{{ PKGNAME }}}_installed" />
</criteria>
</definition>
{{{ oval_test_package_installed(package=PKGNAME, evr=EVR, test_id="test_package_"+PKGNAME+"_installed") }}}
</def-group>
And here is the Ansible template file called template_ANSIBLE_package_installed:
# platform = multi_platform_all
# reboot = false
# strategy = enable
# complexity = low
# disruption = low
- name: Ensure {{{ PKGNAME }}} is installed
package:
name: "{{{ PKGNAME }}}"
state: present
Implement a callback function which will process the parameters before passing them to the Jinja engine. For example, this callback can provide default values, escape characters, check if parameters are correct, or any other processing of the parameters specific for the template.
The callback functions are located in ssg/templates.py.
The callback function must have the same name as the template name. This
is the name that is used in rule.yml in name: key, for example
package_installed.
The callback must have 2 parameters:
data- dictionary which contains the contents ofvars:dictionary fromrule.ymllang- string, describes language, can be one of:"anaconda","ansible","bash","oval","puppet","ignition","kubernetes"
The callback function is executed for every supported language, so it can process the data differently for each language.
The function must always return the (modified) data dictionary.
The function must be always defined even if no processing of data is
needed. In that situation the function just returns data parameter.
Decorate the callback function by the
@templatedecorator. The decorator will register the template in the templating engine. The decorator has a single parameter which is a list of languages that the template provides. The list can contain the following values:"anaconda","ansible","bash","oval","puppet","ignition","kubernetes". The decorator parameter is mandatory. Insert the@templatedecorator on the line before the callback function definition.
For example, if the template name is package_installed and it provides
Ansible template in
shared/templates/template_ANSIBLE_package_installed and OVAL template
in shared/templates/template_OVAL_package_installed, then there must
be callback function package_installed in
ssg/templates.py and the callback
must be decorated by @template(["ansible", "oval")]. In this example,
decorating the callback function lets the templating engine know that
Ansible and OVAL should be generated if any rule uses
package_installed in rule.yml.
The following example shows the callback function for the template
mount_option, including the @template decorator. The example
function declares that there is a template which name is mount_option
and it provides Ansible, Bash and OVAL content. The code takes the
data argument which is a dictionary with template parameters from
rule.yml and based on lang it modifies the template parameters and
returns the modified dictionary.
@template(["ansible", "bash", "oval"])
def mount_option(data, lang):
if lang == "oval":
data["pointid"] = re.sub(r"[-\./]", "_", data["mountpoint"]).lstrip("_")
else:
data["mountoption"] = re.sub(" ", ",", data["mountoption"])
return data
Filters¶
You can use Jinja macros and Jinja filters in the template code. ComplianceAsCode support all built-in Jinja filters.
There are also some custom filters useful for content authoring defined in the project:
escape_id
Replaces all non-word (regex \W) characters with underscore. Useful for sanitizing ID strings as it is compatible with OVAL IDs
oval:[A-Za-z0-9_\-\.]+:ste:[1-9][0-9]*.
escape_regex
Escapes characters in the string for it to be usable as a part of some regular expression, behaves similar to the Python 3’s re.escape.
Tests (ctest)¶
ComplianceAsCode uses ctest to orchestrate testing upstream. To run the
test suite go to the build folder and execute ctest:
cd build/
ctest -j 4
Check out the various ctest options to perform specific testing, you
can rerun just one test or skip all tests that match a regex. (See -R,
-E and other options in the ctest man page)
Tests are added using the add_test cmake call. Each test should finish with a 0 exit-code in case everything went well and a non-zero if something failed. Output (both stdout and stderr) are collected by ctest and stored in logs or displayed. Make sure you never hard-code a path to any tool when doing testing (or anything really) in the cmake code. Always use configuration to find all the paths and then use the respective variable.
See some of the existing testing code in cmake/SSGCommon.cmake.
Tests (OCP4)¶
Unit tests¶
TBD
End-to-end tests¶
The ComplianceAsCode/content repo runs some end-to-end tests for the ocp4 content. These tests run over the OpenShift infrastructure, spawn an ephemeral cluster and run tests targetted at a specific profile.
The current workflow is as follows:
Install needed prerequisites (e.g. the compliance-operator and other resources it might need)
Run a scan using the specific profile (for the specific product)
Run manual remediations
Run automated remediations
Wait for remediations to converge
Run second scan
The test will pass if: * There are no errors in the scan runs * We have less rule failures after the remediations have been applied * The cluster status is not inconsistent
Rules may have extra verifications on them. For instance, one is able to verify if: * The rule’s expected result is gotten on a clean run. * The rule’s result changes after a remediation has been applied.
If an automated remediation is not possible, one is also able to created a “manual” remediation that will be run as a bash script. The end-to-end tests have a 15 minute timeout for the manual remediation scripts to be executed.
Writing e2e tests for specific rules¶
In order to test that a rule is yielding expected results in the e2e
tests, one must create a file called e2e.yml in a tests/ocp4/
directory which will exist in the rule’s directory itself.
The format looks as follows:
---
default_result: [PASS|FAIL]
result_after_remediation: [PASS|FAIL]
Where:
default_resultwill look at the result when the first scan is run.result_after_remediationwill look at the result when the second scan is run. The second scan takes place after remediations are applied.
Let’s look at an example:
For the controller_use_service_account rule, which exists in the
applications/openshift/controller/ directory, the directory tree will
contain the rule definition and the test file:
.
├── rule.yml
└── tests
└── ocp4
└── e2e.yml
In this case, we just want to verify that the default value returns a
passing result. So e2e.yml has the following content:
---
default_result: PASS
Let’s look at another example:
For the api_server_encryption_provider_config we want to apply a
remediation which cannot be applied via the compliance-operator. So
we’ll need a manual remediation for this.
The directory structure looks as follows:
.
├── rule.yml
└── tests
└── ocp4
├── e2e-remediation.sh
└── e2e.yml
Where our test contains information for both the first default result and the expected result after the remediation has been applied:
---
default_result: FAIL
result_after_remediation: PASS
The remediation expects the name of the remediation script to be
e2e-remediation.sh. The script should:
Apply the remediation.
Verify that the status has converged.
In the aforementioned case, the remediation script is as follows:
#!/bin/bash
oc patch apiservers cluster -p '{"spec":{"encryption":{"type":"aescbc"}}}' --type=merge
while true; do
status=$(oc get openshiftapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type=="Encrypted")]}{.reason}')
echo "Current Encryption Status:"
oc get openshiftapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type=="Encrypted")]}{.reason}{"\n"}{.message}{"\n"}'
if [ "$status" == "EncryptionCompleted" ]; then
exit 0
fi
sleep 5
done
Here, we apply the remediation (through the patch command) and probe
the cluster for status. Once the cluster converges, we exit the script
with 0, which is a successful status.
The e2e test run will time out at 15 minuntes if a script doesn’t converge.
Note that the scripts will be run in parallel, but the test run will wait for all of them to be done.
Running the e2e tests on a local cluster¶
Note that it’s possible to run the e2e tests on a cluster of your choice.
To do so, ensure that you have a KUBECONFIG with appropriate
credentials that points to the cluster where you’ll run the tests.
From the root of the ComplianceAsCode/content repository, run:
$ make -f tests/ocp4e2e/Makefile e2e PROFILE=<profile> PRODUCT=<product>
Where profile is the name of the profile you want to test, and product
is a product relevant to OCP4, such as ocp4 or rhcos4.
For instance, to run the tests for the cis benchmark for ocp4 do:
$ make -f tests/ocp4e2e/Makefile e2e PROFILE=cis PRODUCT=ocp4
For more information on the available options, do:
$ make -f tests/ocp4e2e/Makefile help
It is important to note that the tests will do changes to your cluster and there currently isn’t an option to clean them up. So take that into account before running these tests.
Contribution to infrastructure code¶
The ComplianceAsCode build and templating system is mostly written in Python.
Python¶
The common pattern is to dynamically add
ssgto the import path. There are many useful modules with several functions and predefined constants. See scripts at./build-scriptsas an example of this practice.Follow the PEP8 standard.
Try to keep most of your lines length under 80 characters. Although the 99 character limit is within PEP8 requirements, there is no reason for most lines to be that long.