In order for a federated user to be mapped to a local user that exists in the identity backend, the user object in the local mapping rule must have the property "type": "local" set, in addition to having a keystone domain provided. This was probably not the original intention of the local user mapping spec[1], but this is how it ended up being implemented. We could choose to change the behavior of the code, but it has been around long enough that it is possible that deployments are depending on this behavior, and moreover making rules explicit rather than implicit reduces the risk of bugs and mistakes. This patch updates the api-ref documentation and the standard federation documentation to include the "type" property when mapping to local users. In addition, since we now have two keywords called "local" that mean somewhat different things, we expand the context of some of the mapping examples so that both the rule name "local" and the value "local" of the attribute "type" appear in the example, for clarity. Change-Id: Ib35e57e33903de14f9cac1f919c32dfe923ef884 Closes-bug: #1673157
28 KiB
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Mapping Combinations
Description
During the authentication process an identity provider (IdP) will present keystone with a set of user attributes about the user that is authenticating. For example, in the SAML2 flow this comes to keystone in the form of a SAML document.
The attributes are typically processed by third-party software and are presented to keystone as environment variables. The original document from the IdP is generally not available to keystone. This is how the Shibboleth and Mellon implementations work.
The mapping format described in this document maps these environment variables to a local keystone user. The mapping may also define group membership for that user and projects the user can access.
An IdP has exactly one mapping specified per protocol. Mappings themselves can be used multiple times by different combinations of IdP and protocol.
Definitions
A mapping looks as follows:
{
"rules": [
{
"local": [
{
<user>
[<group>]
[<project>]
}
],
"remote": [
{
<match>
[<condition>]
}
]
}
]
}
- `mapping`: a JSON object containing a list of rules.
- `rules`: a property in the mapping that contains the list of rules.
- `rule`: a JSON object containing local and remote properties to define the rule. There is no explicit rule property.
- `local`: a JSON object containing information on what local
attributes will be mapped. The mapping engine processes this using the
context (defined below) and the result is
a representation of the user from keystone's perspective.
- `<user>`: the local user that will be mapped to the federated user.
- `<group>`: (optional) the local groups the federated user will be placed in.
- `<projects>`: (optional) the local projects mapped to the federated user.
- `remote`: a JSON object containing information on what remote
attributes will be mapped.
- `<match>: a JSON object that tells the mapping engine what federated attribute to make available for substitution in the local object. There can be one or more of these objects in the `remote list.
- `<condition>: a JSON object containing conditions that allow a rule. There can be zero or more of these objects in the `remote list.
- `direct mapping`: the mapping engine keeps track of each match and makes them available to the local rule for substitution.
- `assertion`: data provided to keystone by the IdP to assert facts (name, groups, etc) about the authenticating user. This is an XML document when using the SAML2 protocol.
- `mapping context`: the data, represented as key-value pairs, that is used by the mapping engine to turn the local object into a representation of the user from keystone's perspective. The mapping context contains the environment of the keystone process and any direct mapping values calculated when processing the remote list.
How Mappings Are Processed
A mapping is selected by IdP and protocol. Then keystone takes the mapping and processes each rule sequentially stopping after the first matched rule. A rule is matched when all of its conditions are met.
First keystone evaluates each condition from the rule's remote property to see if the rule is a match. If it is a match, keystone saves the data captured by each of the matches from the rule's remote property in an ordered list. We call these matches direct mappings since they can be used in the next step.
After the rule is found using the rule's conditions and a list of direct mappings is stored, keystone begins processing the rule's local property. Each object in the local property is collapsed into a single JSON object. For example:
{
"local": [
{
"user": {...}
},
{
"projects": [...]
},
]
}
becomes:
{
"local": {
"user": {...}
"projects": [...]
},
}
when the same property exists in the local multiple times the first occurrence wins:
{
"local": [
{
"user": {#first#}
},
{
"projects": [...]
},
{
"user": {#second#}
},
]
}
becomes:
{
"local": {
"user": {#first#}
"projects": [...]
},
}
We take this JSON object and then recursively process it in order to apply the direct mappings. This is simply looking for the pattern {#} and substituting it with values from the direct mappings list. The index of the direct mapping starts at zero.
Mapping Rules
Mapping Engine
The mapping engine can be tested before creating a federated setup.
It can be tested with the keystone-manage mapping_engine
command:
$ keystone-manage mapping_engine --rules <file> --input <file>
Note
Although the rules file is formatted as JSON, the input file of assertion data is formatted as individual lines of key: value pairs, see keystone-manage mapping_engine --help for details.
Mapping Conditions
Mappings support 5 different types of conditions:
empty
: The rule is matched to all claims containing the
remote attribute type. This condition does not need to be specified.
any_one_of
: The rule is matched only if any of the
specified strings appear in the remote attribute type. Condition result
is boolean, not the argument that is passed as input.
not_any_of
: The rule is not matched if any of the
specified strings appear in the remote attribute type. Condition result
is boolean, not the argument that is passed as input.
blacklist
: This rule removes all groups matched from the
assertion. It is not intended to be used as a way to prevent users, or
groups of users, from accessing the service provider. The output from
filtering through a blacklist will be all groups from the assertion that
were not listed in the blacklist.
whitelist
: This rule explicitly states which groups
should be carried over from the assertion. The result is the groups
present in the assertion and in the whitelist.
Note
empty
, blacklist
and whitelist
are the only conditions that can be used in direct mapping ({0}, {1},
etc.)
Multiple conditions can be combined to create a single rule.
Mappings Examples
The following are all examples of mapping rule types.
empty condition
{
"rules": [
{
"local": [
{
"user": {
"name": "{0} {1}",
"email": "{2}"
},
"group": {
"name": "{3}",
"domain": {
"id": "0cd5e9"
}
}
}
],
"remote": [
{
"type": "FirstName"
},
{
"type": "LastName"
},
{
"type": "Email"
},
{
"type": "OIDC_GROUPS"
}
]
}
]
}
Note
The numbers in braces {} are indices, they map in order. For example:
- Mapping to user with the name matching the value in remote attribute FirstName
- Mapping to user with the name matching the value in remote attribute LastName
- Mapping to user with the email matching value in remote attribute Email
- Mapping to a group(s) with the name matching the value(s) in remote attribute OIDC_GROUPS
Groups can have multiple values. Each value must be separated by a ; Example: OIDC_GROUPS=developers;testers
other conditions
In <other_condition>
shown below, please supply
one of the following: any_one_of
, or
not_any_of
.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
},
"group": {
"id": "0cd5e9"
}
}
],
"remote": [
{
"type": "UserName"
},
{
"type": "HTTP_OIDC_GROUPIDS",
"<other_condition>": [
"HTTP_OIDC_EMAIL"
]
}
]
}
]
}
In <other_condition>
shown below, please supply
one of the following: blacklist
, or
whitelist
.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
}
},
{
"groups": "{1}",
"domain": {
"id": "0cd5e9"
}
}
],
"remote": [
{
"type": "UserName"
},
{
"type": "HTTP_OIDC_GROUPIDS",
"<other_condition>": [
"me@example.com"
]
}
]
}
]
}
Note
If the user id and name are not specified in the mapping, the server
tries to directly map REMOTE_USER
environment variable. If
this variable is also unavailable the server returns an HTTP 401
Unauthorized error.
Group ids and names can be provided in the local section:
{
"local": [
{
"group": {
"id":"0cd5e9"
}
}
]
}
{
"local": [
{
"group": {
"name": "developer_group",
"domain": {
"id": "abc1234"
}
}
}
]
}
{
"local": [
{
"group": {
"name": "developer_group",
"domain": {
"name": "private_cloud"
}
}
}
]
}
Users can be mapped to local users that already exist in keystone's
identity backend by setting the type
attribute of the user
to local
and providing the domain to which the local user
belongs:
{
"local": [
{
"user": {
"name": "local_user",
"type": "local",
"domain": {
"name": "local_domain"
}
}
}
]
}
The user is then treated as existing in the local identity backend, and the server will attempt to fetch user details (id, name, roles, groups) from the identity backend. The local user and domain are not generated dynamically, so if they do not exist in the local identity backend, authentication attempts will result in a 401 Unauthorized error.
If you omit the type
attribute or set it to
ephemeral
or do not provide a domain, the user is deemed
ephemeral and becomes a member of the identity provider's domain. It
will not be looked up in the local keystone backend, so all of its
attributes must come from the IdP and the mapping rules.
Note
Domain Federated
is a service domain - it cannot be
listed, displayed, added or deleted. There is no need to perform any
operation on it prior to federation configuration.
Output
If a mapping is valid you will receive the following output:
{
"group_ids": "[<group-ids>]",
"user":
{
"domain":
{
"id": "Federated" or "<local-domain-id>"
},
"type": "ephemeral" or "local",
"name": "<local-user-name>",
"id": "<local-user-id>"
},
"group_names":
[
{
"domain":
{
"name": "<domain-name>"
},
"name":
{
"name": "[<groups-names>]"
}
}
{
"domain":
{
"name": "<domain-name>"
},
"name":
{
"name": "[<groups-names>]"
}
}
]
}
If the mapped user is local, mapping engine will discard further group assigning and return set of roles configured for the user.
Regular Expressions
Regular expressions can be used in a mapping by specifying the
regex
key, and setting it to true
.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
},
"group": {
"id": "0cd5e9"
}
},
],
"remote": [
{
"type": "UserName"
},
{
"type": "HTTP_OIDC_GROUPIDS",
"any_one_of": [
".*@yeah.com$"
]
"regex": true
}
]
}
]
}
This allows any user with a claim containing a key with any value in
HTTP_OIDC_GROUPIDS
to be mapped to group with id
0cd5e9
.
Condition Combinations
Combinations of mappings conditions can also be done.
empty
, any_one_of
, and
not_any_of
can all be used in the same rule, but cannot be
repeated within the same condition. any_one_of
and
not_any_of
are mutually exclusive within a condition's
scope. So are whitelist
and blacklist
.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
},
"group": {
"id": "0cd5e9"
}
},
],
"remote": [
{
"type": "UserName"
},
{
"type": "cn=IBM_Canada_Lab",
"not_any_of": [
".*@naww.com$"
],
"regex": true
},
{
"type": "cn=IBM_USA_Lab",
"any_one_of": [
".*@yeah.com$"
]
"regex": true
}
]
}
]
}
As before group names and users can also be provided in the local section.
This allows any user with the following claim information to be mapped to group with id 0cd5e9.
{"UserName":"<any_name>@yeah.com"}
{"cn=IBM_USA_Lab":"<any_name>@yeah.com"}
{"cn=IBM_Canada_Lab":"<any_name>@yeah.com"}
The following claims will be mapped:
- any claim containing the key UserName.
- any claim containing key cn=IBM_Canada_Lab that doesn't have the value <any_name>@naww.com.
- any claim containing key cn=IBM_USA_Lab that has value <any_name>@yeah.com.
Multiple Rules
Multiple rules can also be utilized in a mapping.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
},
"group": {
"name": "non-contractors",
"domain": {
"id": "abc1234"
}
}
}
],
"remote": [
{
"type": "UserName"
},
{
"type": "orgPersonType",
"not_any_of": [
"Contractor",
"SubContractor"
]
}
]
},
{
"local": [
{
"user": {
"name": "{0}"
},
"group": {
"name": "contractors",
"domain": {
"id": "abc1234"
}
}
}
],
"remote": [
{
"type": "UserName"
},
{
"type": "orgPersonType",
"any_one_of": [
"Contractor",
"SubContractor"
]
}
]
}
]
}
The above assigns groups membership basing on
orgPersonType
values:
- neither
Contractor
norSubContractor
will belong to thenon-contractors
group. - either
Contractor or
SubContractorwill belong to the
contractors`` group.
Rules are additive, so permissions will only be granted for the rules that succeed. All the remote conditions of a rule must be valid.
When using multiple rules you can specify more than one effective user identification, but only the first match will be considered and the others ignored ordered from top to bottom.
Since rules are additive one can specify one user identification and this will also work. The best practice for multiple rules is to create a rule for just user and another rule for just groups. Below is rules example repeated but with global username mapping.
{
"rules": [{
"local": [{
"user": {
"id": "{0}"
}
}],
"remote": [{
"type": "UserType"
}]
},
{
"local": [{
"group": {
"name": "non-contractors",
"domain": {
"id": "abc1234"
}
}
}],
"remote": [{
"type": "orgPersonType",
"not_any_of": [
"Contractor",
"SubContractor"
]
}]
},
{
"local": [{
"group": {
"name": "contractors",
"domain": {
"id": "abc1234"
}
}
}],
"remote": [{
"type": "orgPersonType",
"any_one_of": [
"Contractor",
"SubContractor"
]
}]
}]
}
Auto-Provisioning
The mapping engine has the ability to aid in the auto-provisioning of resources when a federated user authenticates for the first time. This can be achieved using a specific mapping syntax that the mapping engine can parse and ultimately make decisions on.
For example, consider the following mapping:
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
}
},
{
"projects": [
{
"name": "Production",
"roles": [
{
"name": "observer"
}
]
},
{
"name": "Staging",
"roles": [
{
"name": "member"
}
]
},
{
"name": "Project for {0}",
"roles": [
{
"name": "admin"
}
]
}
]
}
],
"remote": [
{
"type": "UserName"
}
]
}
]
}
The semantics of the remote
section have not changed.
The difference between this mapping and the other examples is the
addition of a projects
section within the
local
rules. The projects
list supplies a list
of projects that the federated user will be given access to. The
projects will be automatically created if they don't exist when the user
authenticated and the mapping engine has applied values from the
assertion and mapped them into the local
rules.
In the above example, an authenticated federated user will be granted
the observer
role on the Production
project,
member
role on the Staging
project, and they
will have admin
role on the
Project for jsmith
.
It is important to note the following constraints apply when auto-provisioning:
- Projects are the only resource that will be created dynamically.
- Projects will be created within the domain associated with the Identity Provider.
- The
projects
section of the mapping must also contain aroles
section.- Roles within the project must already exist in the deployment or domain.
- Assignments are actually created for the user which is unlike the ephemeral group memberships.
Since the creation of roles typically requires policy changes across
other services in the deployment, it is expected that roles are created
ahead of time. Federated authentication should also be considered
idempotent if the attributes from the SAML assertion have not changed.
In the example from above, if the user's name is still
jsmith
, then no new projects will be created as a result of
authentication.
Mappings can be created that mix groups
and
projects
within the local
section. The mapping
shown in the example above does not contain a groups
section in the local
rules. This will result in the
federated user having direct role assignments on the projects in the
projects
list. The following example contains
local
rules comprised of both projects
and
groups
, which allow for direct role assignments and group
memberships.
{
"rules": [
{
"local": [
{
"user": {
"name": "{0}"
}
},
{
"projects": [
{
"name": "Marketing",
"roles": [
{
"name": "member"
}
]
},
{
"name": "Development project for {0}",
"roles": [
{
"name": "admin"
}
]
}
]
},
{
"group": {
"name": "Finance",
"domain": {
"id": "6fe767"
}
}
}
],
"remote": [
{
"type": "UserName"
}
]
}
]
}
In the above example, a federated user will receive direct role
assignments on the Marketing
project, as well as a
dedicated project specific to the federated user's name. In addition to
that, they will also be placed in the Finance
group and
receive all role assignments that group has on projects and domains.
keystone-to-keystone
keystone-to-keystone federation also utilizes mappings, but has some differences.
An attribute file (e.g.
/etc/shibboleth/attribute-map.xml
in a Shibboleth
implementation) is used to add attributes to the mapping context. Attributes look as follows:
<!-- example from a K2k Shibboleth implementation -->
Attribute name="openstack_user" id="openstack_user"/>
<Attribute name="openstack_user_domain" id="openstack_user_domain"/> <
The service provider must contain a mapping as shown below.
openstack_user
, and openstack_user_domain
match to the attribute names we have in the Identity Provider. It will
map any user with the name user1
or admin
in
the openstack_user
attribute and
openstack_domain
attribute default
to a group
with id abc1234
.
{
"rules": [
{
"local": [
{
"group": {
"id": "abc1234"
}
}
],
"remote": [
{
"type": "openstack_user",
"any_one_of": [
"user1",
"admin"
]
},
{
"type":"openstack_user_domain",
"any_one_of": [
"Default"
]
}
]
}
]
}
The possible attributes that can be used in a mapping are openstack_user, openstack_user_domain, openstack_roles, openstack_project, and openstack_project_domain.