Security can be one of the most complex pieces of the app development puzzle. In most applications, developers must build and run a server that handles authentication (who a user is) and authorization (what a user can do).
Firebase Security Rules remove the middle (server) layer and allow you to specify path-based permissions for clients that connect to your data directly. Use this guide to learn more about how rules are applied to incoming requests.
Select a product to learn more about its rules.
Cloud Firestore
Basic structure
Firebase Security Rules in Cloud Firestore and Cloud Storage use the following structure and syntax:
service <<name>> {
// Match the resource path.
match <<path>> {
// Allow the request if the following conditions are true.
allow <<methods>> : if <<condition>>
}
}
The following key concepts are important to understand as you build the rules:
- Request: The method or methods invoked in the
allow
statement. These are methods you're allowing to run. The standard methods are:get
,list
,create
,update
, anddelete
. Theread
andwrite
convenience methods enable broad read and write access on the specified database or storage path. - Path: The database or storage location, represented as a URI path.
- Rule: The
allow
statement, which includes a condition that permits a request if it evaluates to true.
Security rules version 2
As of May 2019, version 2 of the Firebase security rules is now
available. Version 2 of the rules changes the behavior of recursive
wildcards {name=**}
. You must use version 2 if you plan to
use collection group queries. You must opt-in to
version 2 by making rules_version = '2';
the first line in your security
rules:
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
Matching paths
All match statements should point to documents, not collections. A match
statement can point to a specific document, as in match /cities/SF
or use wildcards
to point to any document in the specified path, as in match /cities/{city}
.
In the example above, the match statement uses the {city}
wildcard syntax.
This means the rule applies to any document in the cities
collection, such as
/cities/SF
or /cities/NYC
. When the allow
expressions in the match statement are
evaluated, the city
variable will resolve to the city document name,
such as SF
or NYC
.
Matching subcollections
Data in Cloud Firestore is organized into collections of documents, and each document may extend the hierarchy through subcollections. It is important to understand how security rules interact with hierarchical data.
Consider the situation where each document in the cities
collection contains a
landmarks
subcollection. Security rules apply only at the matched path, so the
access controls defined on the cities
collection do not apply to the
landmarks
subcollection. Instead, write explicit rules to control access
to subcollections:
service cloud.firestore {
match /databases/{database}/documents {
match /cities/{city} {
allow read, write: if <condition>;
// Explicitly define rules for the 'landmarks' subcollection
match /landmarks/{landmark} {
allow read, write: if <condition>;
}
}
}
}
When nesting match
statements, the path of the inner match
statement is always
relative to the path of the outer match
statement. The following rulesets
are therefore equivalent:
service cloud.firestore {
match /databases/{database}/documents {
match /cities/{city} {
match /landmarks/{landmark} {
allow read, write: if <condition>;
}
}
}
}
service cloud.firestore {
match /databases/{database}/documents {
match /cities/{city}/landmarks/{landmark} {
allow read, write: if <condition>;
}
}
}
Recursive wildcards
If you want rules to apply to an arbitrarily deep hierarchy, use the
recursive wildcard syntax, {name=**}
:
service cloud.firestore {
match /databases/{database}/documents {
// Matches any document in the cities collection as well as any document
// in a subcollection.
match /cities/{document=**} {
allow read, write: if <condition>;
}
}
}
When using the recursive wildcard syntax, the wildcard variable will contain the
entire matching path segment, even if the document is located in a deeply nested
subcollection. For example, the rules listed above would match
a document located at /cities/SF/landmarks/coit_tower
, and the value of
the document
variable would be SF/landmarks/coit_tower
.
Note, however, that the behavior of recursive wildcards depends on the rules version.
Version 1
Security rules use version 1 by default. In version 1, recursive wildcards
match one or more path items. They do not match an empty path, so
match /cities/{city}/{document=**}
matches documents in subcollections but
not in the cities
collection, whereas match /cities/{document=**}
matches
both documents in the cities
collection and subcollections.
Recursive wildcards must come at the end of a match statement.
Version 2
In version 2 of the security rules, recursive wildcards match zero or more path
items. match/cities/{city}/{document=**}
matches documents in any
subcollections as well as documents in the cities
collection.
You must opt-in to version 2 by adding rules_version = '2';
at the top of
your security rules:
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
// Matches any document in the cities collection as well as any document
// in a subcollection.
match /cities/{city}/{document=**} {
allow read, write: if <condition>;
}
}
}
You can have at most one recursive wildcard per match statement, but in version 2, you can place this wildcard anywhere in the match statement. For example:
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
// Matches any document in the songs collection group
match /{path=**}/songs/{song} {
allow read, write: if <condition>;
}
}
}
If you use collection group queries, you must use version 2, see securing collection group queries.
Overlapping match statements
It's possible for a document to match more than one match
statement. In the
case where multiple allow
expressions match a request, the access is allowed
if any of the conditions is true
:
service cloud.firestore {
match /databases/{database}/documents {
// Matches any document in the 'cities' collection.
match /cities/{city} {
allow read, write: if false;
}
// Matches any document in the 'cities' collection or subcollections.
match /cities/{document=**} {
allow read, write: if true;
}
}
}
In the example above, all reads and writes to the cities
collection will be
allowed because the second rule is always true
, even though the first
rule is always false
.
Security rule limits
As you work with security rules, note the following limits:
Limit | Details |
---|---|
Maximum number of exists() , get() , and getAfter() calls per request |
Exceeding either limit results in a permission denied error. Some document access calls may be cached, and cached calls do not count towards the limits. |
Maximum nested match statement depth |
10 |
Maximum path length, in path segments, allowed within a set of nested
match statements |
100 |
Maximum number of path capture variables allowed within a set of
nested match statements |
20 |
Maximum function call depth | 20 |
Maximum number of function arguments | 7 |
Maximum number of let variable bindings per function |
10 |
Maximum number of recursive or cyclical function calls | 0 (not permitted) |
Maximum number of expressions evaluated per request | 1,000 |
Maximum size of a ruleset | Rulesets must obey two size limits:
|
Cloud Storage
Basic structure
Firebase Security Rules in Cloud Firestore and Cloud Storage use the following structure and syntax:
service <<name>> {
// Match the resource path.
match <<path>> {
// Allow the request if the following conditions are true.
allow <<methods>> : if <<condition>>
}
}
The following key concepts are important to understand as you build the rules:
- Request: The method or methods invoked in the
allow
statement. These are methods you're allowing to run. The standard methods are:get
,list
,create
,update
, anddelete
. Theread
andwrite
convenience methods enable broad read and write access on the specified database or storage path. - Path: The database or storage location, represented as a URI path.
- Rule: The
allow
statement, which includes a condition that permits a request if it evaluates to true.
Matching paths
Cloud Storage Security Rules match
the file paths used to access files in
Cloud Storage. Rules can match
exact paths or wildcard paths, and
rules can also be nested. If no match rule allows an request method, or the
condition evaluates to false
, the request is denied.
Exact matches
// Exact match for "images/profilePhoto.png" match /images/profilePhoto.png { allow write: if <condition>; } // Exact match for "images/croppedProfilePhoto.png" match /images/croppedProfilePhoto.png { allow write: if <other_condition>; }
Nested matches
// Partial match for files that start with "images" match /images { // Exact match for "images/profilePhoto.png" match /profilePhoto.png { allow write: if <condition>; } // Exact match for "images/croppedProfilePhoto.png" match /croppedProfilePhoto.png { allow write: if <other_condition>; } }
Wildcard matches
Rules can also be used to match
a pattern using wildcards. A wildcard is a
named variable that represents either a single string such as
profilePhoto.png
, or multiple path segments, such as
images/profilePhoto.png
.
A wildcard is created by adding curly braces around the wildcard name, like
{string}
. A multiple segment wildcard can be declared by adding =**
to the
wildcard name, like {path=**}
:
// Partial match for files that start with "images" match /images { // Exact match for "images/*" // e.g. images/profilePhoto.png is matched match /{imageId} { // This rule only matches a single path segment (*) // imageId is a string that contains the specific segment matched allow read: if <condition>; } // Exact match for "images/**" // e.g. images/users/user:12345/profilePhoto.png is matched // images/profilePhoto.png is also matched! match /{allImages=**} { // This rule matches one or more path segments (**) // allImages is a path that contains all segments matched allow read: if <other_condition>; } }
If multiple rules match a file, the result is the OR
of the result of all
rules evaluations. That is, if any rule the file matches evaluates to true
, the
result is true
.
In the rules above, the file "images/profilePhoto.png" can be read if either
condition
or other_condition
evaluate to true, while the file
"images/users/user:12345/profilePhoto.png" is only subject to the result of
other_condition
.
A wildcard variable can be referenced from within the match
provide file
name or path authorization:
// Another way to restrict the name of a file match /images/{imageId} { allow read: if imageId == "profilePhoto.png"; }
Cloud Storage Security Rules do not cascade, and rules are only evaluated when the request path matches a path with rules specified.
Request evaluation
Uploads, downloads, metadata changes, and deletes are evaluated using the
request
sent to Cloud Storage. The request
variable contains the
file path where the request is being performed, the time when the request is
received, and the new resource
value if the request is a write. HTTP headers
and authentication state are also included.
The request
object also contains the user's unique ID and the
Firebase Authentication payload in the request.auth
object, which will be
explained further in the Authentication
section of the docs.
A full list of properties in the request
object is available below:
Property | Type | Description |
---|---|---|
auth |
map<string, string> | When a user is logged in, provides uid , the user's unique ID, and
token , a map of Firebase Authentication JWT claims. Otherwise, it will be
null . |
params |
map<string, string> | Map containing the query parameters of the request. |
path |
path | A path representing the path the request is being
performed at. |
resource |
map<string, string> | The new resource value, present only on write requests.
|
time |
timestamp | A timestamp representing the server time the request is evaluated at. |
Resource evaluation
When evaluating rules, you may also want to evaluate the metadata of the file being uploaded, downloaded, modified, or deleted. This allows you to create complex and powerful rules that do things like only allow files with certain content types to be uploaded, or only files greater than a certain size to be deleted.
Firebase Security Rules for Cloud Storage provides file metadata in the resource
object, which contains key/value pairs of the metadata surfaced in a
Cloud Storage object. These properties can be inspected on read
or
write
requests to ensure data integrity.
On write
requests (such as uploads, metadata updates, and deletes), in
addition to the resource
object, which contains file metadata for the file
that currently exists at the request path, you also have the ability to use the
request.resource
object, which contains a subset of the file metadata to be
written if the write is allowed. You can use these two values to ensure data
integrity or enforce application constraints such as file type or size.
A full list of properties in the resource
object is available below:
Property | Type | Description |
---|---|---|
name |
string | The full name of the object |
bucket |
string | The name of the bucket this object resides in. |
generation |
int | The Google Cloud Storage object generation of this object. |
metageneration |
int | The Google Cloud Storage object metageneration of this object. |
size |
int | The size of the object in bytes. |
timeCreated |
timestamp | A timestamp representing the time an object was created. |
updated |
timestamp | A timestamp representing the time an object was last updated. |
md5Hash |
string | An MD5 hash of the object. |
crc32c |
string | A crc32c hash of the object. |
etag |
string | The etag associated with this object. |
contentDisposition |
string | The content disposition associated with this object. |
contentEncoding |
string | The content encoding associated with this object. |
contentLanguage |
string | The content language associated with this object. |
contentType |
string | The content type associated with this object. |
metadata |
map<string, string> | Key/value pairs of additional, developer specified custom metadata. |
request.resource
contains all of these with the exception of generation
,
metageneration
, etag
, timeCreated
, and updated
.
Security Rules limits
As you work with security rules, note the following limits:
Limit | Details |
---|---|
Maximum number of firestore.exists() and
firestore.get() calls per request |
2 for single-document requests and query requests. Exceeding this limit results in a permission denied error. Access calls to the same documents may be cached, and cached calls do not count towards the limits. |
Full Example
Putting it all together, you can create a full example of rules for an image storage solution:
service firebase.storage { match /b/{bucket}/o { match /images { // Cascade read to any image type at any path match /{allImages=**} { allow read; } // Allow write files to the path "images/*", subject to the constraints: // 1) File is less than 5MB // 2) Content type is an image // 3) Uploaded content type matches existing content type // 4) File name (stored in imageId wildcard variable) is less than 32 characters match /{imageId} { allow write: if request.resource.size < 5 * 1024 * 1024 && request.resource.contentType.matches('image/.*') && request.resource.contentType == resource.contentType && imageId.size() < 32 } } } }
Realtime Database
Basic structure
In Realtime Database, Firebase Security Rules consist of JavaScript-like expressions contained in a JSON document.
They use the following syntax:
{
"rules": {
"<<path>>": {
// Allow the request if the condition for each method is true.
".read": <<condition>>,
".write": <<condition>>,
".validate": <<condition>>
}
}
}
There are three basic elements in the rule:
- Path: The database location. This mirrors your database's JSON structure.
- Request: These are the methods the rule uses to grant access. The
read
andwrite
rules grant broad read and write access, whilevalidate
rules act as a secondary verification to grant access based on incoming or existing data. - Condition: The condition that permits a request if it evaluates to true.
How rules apply to paths
In Realtime Database, Rules apply atomically, meaning that rules at higher-level parent nodes override rules at more granular child nodes and rules at a deeper node can't grant access to a parent path. You can't refine or revoke access at a deeper path in your database structure if you've already granted it for one of the parent paths.
Consider the following rules:
{ "rules": { "foo": { // allows read to /foo/* ".read": "data.child('baz').val() === true", "bar": { // ignored, since read was allowed already ".read": false } } } }
This security structure allows /bar/
to be read from whenever
/foo/
contains a child baz
with value true
.
The ".read": false
rule under /foo/bar/
has no
effect here, since access cannot be revoked by a child path.
While it may not seem immediately intuitive, this is a powerful part of the rules language and allows for very complex access privileges to be implemented with minimal effort. This is particularly useful for user-based security.
However, .validate
rules do not cascade. All validate rules
must be satisfied at all levels of the hierarchy for a write to be allowed.
Additionally, because rules do not apply back to a parent path, read or write operation fail if there isn't a rule at the requested location or at a parent location that grants access. Even if every affected child path is accessible, reading at the parent location will fail completely. Consider this structure:
{ "rules": { "records": { "rec1": { ".read": true }, "rec2": { ".read": false } } } }
Without understanding that rules are evaluated atomically, it might seem
like fetching the /records/
path would return rec1
but not rec2
. The actual result, however, is an error:
JavaScript
var db = firebase.database(); db.ref("records").once("value", function(snap) { // success method is not called }, function(err) { // error callback triggered with PERMISSION_DENIED });
Objective-C
FIRDatabaseReference *ref = [[FIRDatabase database] reference]; [[_ref child:@"records"] observeSingleEventOfType:FIRDataEventTypeValue withBlock:^(FIRDataSnapshot *snapshot) { // success block is not called } withCancelBlock:^(NSError * _Nonnull error) { // cancel block triggered with PERMISSION_DENIED }];
Swift
var ref = FIRDatabase.database().reference() ref.child("records").observeSingleEventOfType(.Value, withBlock: { snapshot in // success block is not called }, withCancelBlock: { error in // cancel block triggered with PERMISSION_DENIED })
Java
FirebaseDatabase database = FirebaseDatabase.getInstance(); DatabaseReference ref = database.getReference("records"); ref.addListenerForSingleValueEvent(new ValueEventListener() { @Override public void onDataChange(DataSnapshot snapshot) { // success method is not called } @Override public void onCancelled(FirebaseError firebaseError) { // error callback triggered with PERMISSION_DENIED }); });
REST
curl https://docs-examples.firebaseio.com/rest/records/ # response returns a PERMISSION_DENIED error
Since the read operation at /records/
is atomic, and there's no read rule that grants access to all of the data under /records/
, this will throw a PERMISSION_DENIED
error. If we evaluate this rule in the security simulator in our Firebase console, we can see that the read operation was denied:
Attempt to read /records with auth=Success(null) / /records No .read rule allowed the operation. Read was denied.
The operation was denied because no read rule allowed access to the /records/
path, but note that the rule for rec1
was never evaluated because it wasn't in the path we requested. To fetch rec1
, we would need to access it directly:
JavaScript
var db = firebase.database(); db.ref("records/rec1").once("value", function(snap) { // SUCCESS! }, function(err) { // error callback is not called });
Objective-C
FIRDatabaseReference *ref = [[FIRDatabase database] reference]; [[ref child:@"records/rec1"] observeSingleEventOfType:FEventTypeValue withBlock:^(FIRDataSnapshot *snapshot) { // SUCCESS! }];
Swift
var ref = FIRDatabase.database().reference() ref.child("records/rec1").observeSingleEventOfType(.Value, withBlock: { snapshot in // SUCCESS! })
Java
FirebaseDatabase database = FirebaseDatabase.getInstance(); DatabaseReference ref = database.getReference("records/rec1"); ref.addListenerForSingleValueEvent(new ValueEventListener() { @Override public void onDataChange(DataSnapshot snapshot) { // SUCCESS! } @Override public void onCancelled(FirebaseError firebaseError) { // error callback is not called } });
REST
curl https://docs-examples.firebaseio.com/rest/records/rec1 # SUCCESS!
Location variable
Realtime Database Rules support a $location
variable to match path segments. Use the $
prefix in front of your path
segment to match your rule to any child nodes along the path.
{
"rules": {
"rooms": {
// This rule applies to any child of /rooms/, the key for each room id
// is stored inside $room_id variable for reference
"$room_id": {
"topic": {
// The room's topic can be changed if the room id has "public" in it
".write": "$room_id.contains('public')"
}
}
}
}
}
You can also use the $variable
in parallel with constant path
names.
{
"rules": {
"widget": {
// a widget can have a title or color attribute
"title": { ".validate": true },
"color": { ".validate": true },
// but no other child paths are allowed
// in this case, $other means any key excluding "title" and "color"
"$other": { ".validate": false }
}
}
}