- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.8
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Cross-cluster replication settings
- Discovery and cluster formation settings
- Field data cache settings
- HTTP
- Index lifecycle management settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- License settings
- Local gateway settings
- Logging configuration
- Machine learning settings
- Monitoring settings
- Node
- Network settings
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- Security settings
- Shard request cache settings
- Snapshot lifecycle management settings
- Transforms settings
- Transport
- Thread pools
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- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Bootstrap Checks for X-Pack
- Starting Elasticsearch
- Stopping Elasticsearch
- Discovery and cluster formation
- Add and remove nodes in your cluster
- Full-cluster restart and rolling restart
- Remote clusters
- Set up X-Pack
- Configuring X-Pack Java Clients
- Plugins
- Upgrade Elasticsearch
- Index templates
- Search your data
- Query DSL
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
- SQL JDBC
- SQL ODBC
- SQL Client Applications
- SQL Language
- Functions and Operators
- Comparison Operators
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- Math Operators
- Cast Operators
- LIKE and RLIKE Operators
- Aggregate Functions
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- Date/Time and Interval Functions and Operators
- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
- Geo Functions
- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Boxplot Aggregation
- Cardinality Aggregation
- Stats Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
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- Median Absolute Deviation Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- String Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Top Metrics Aggregation
- Value Count Aggregation
- T-Test Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite aggregation
- Date histogram aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Parent Aggregation
- Range Aggregation
- Rare Terms Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Subtleties of bucketing range fields
- Pipeline Aggregations
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Avg Bucket Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Cumulative Cardinality Aggregation
- Cumulative Sum Aggregation
- Derivative Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Serial Differencing Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Indexing aggregation results with transforms
- Metrics Aggregations
- Scripting
- Mapping
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- Token filter reference
- Apostrophe
- ASCII folding
- CJK bigram
- CJK width
- Classic
- Common grams
- Conditional
- Decimal digit
- Delimited payload
- Dictionary decompounder
- Edge n-gram
- Elision
- Fingerprint
- Flatten graph
- Hunspell
- Hyphenation decompounder
- Keep types
- Keep words
- Keyword marker
- Keyword repeat
- KStem
- Length
- Limit token count
- Lowercase
- MinHash
- Multiplexer
- N-gram
- Normalization
- Pattern capture
- Pattern replace
- Phonetic
- Porter stem
- Predicate script
- Remove duplicates
- Reverse
- Shingle
- Snowball
- Stemmer
- Stemmer override
- Stop
- Synonym
- Synonym graph
- Trim
- Truncate
- Unique
- Uppercase
- Word delimiter
- Word delimiter graph
- Character filters reference
- Normalizers
- Index modules
- Ingest node
- ILM: Manage the index lifecycle
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure a cluster
- Overview
- Configuring security
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Granting access to Stack Management features
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enabling audit logging
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- cat aliases
- cat allocation
- cat anomaly detectors
- cat count
- cat data frame analytics
- cat datafeeds
- cat fielddata
- cat health
- cat indices
- cat master
- cat nodeattrs
- cat nodes
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- cat plugins
- cat recovery
- cat repositories
- cat shards
- cat segments
- cat snapshots
- cat task management
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- cat thread pool
- cat trained model
- cat transforms
- Cluster APIs
- Cluster allocation explain
- Cluster get settings
- Cluster health
- Cluster reroute
- Cluster state
- Cluster stats
- Cluster update settings
- Nodes feature usage
- Nodes hot threads
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- Nodes reload secure settings
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- Add index alias
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- Delete index template
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- Get index template (legacy)
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- Index alias exists
- Index exists
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- Index shard stores
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- Open index
- Put index template
- Put index template (legacy)
- Put component template
- Put mapping
- Refresh
- Rollover index
- Shrink index
- Split index
- Synced flush
- Type exists
- Unfreeze index
- Update index alias
- Update index settings
- Index lifecycle management API
- Ingest APIs
- Info API
- Licensing APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
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- Create calendar
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- Create filter
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
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- Delete expired data
- Estimate model memory
- Find file structure
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- Get buckets
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- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get overall buckets
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- Open jobs
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- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
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- Update datafeeds
- Update filter
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- Update model snapshots
- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Create inference trained model
- Delete data frame analytics jobs
- Delete inference trained model
- Evaluate data frame analytics
- Explain data frame analytics API
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Get inference trained model
- Get inference trained model stats
- Start data frame analytics jobs
- Stop data frame analytics jobs
- Migration APIs
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- Rollup APIs
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- Security APIs
- Authenticate
- Change passwords
- Clear cache
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- Get builtin privileges
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- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
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- SAML prepare authentication API
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- SSL certificate
- Snapshot and restore APIs
- Snapshot lifecycle management API
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Breaking changes
- Release notes
- Elasticsearch version 7.8.1
- Elasticsearch version 7.8.0
- Elasticsearch version 7.7.1
- Elasticsearch version 7.7.0
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Logfile audit output
editLogfile audit output
editThe logfile
audit output is the default output for auditing. It writes data to
the <clustername>_audit.json
file in the logs directory. To maintain
compatibility with releases prior to 6.5.0, a <clustername>_access.log
file
is also generated. They differ in the output format but the contents
are similar. For systems that are not ingesting the audit file for search or
analytics it is strongly recommended to keep only the newer format.
To turn off the deprecated output format, you can disable the logger in the
log4j2.properties
file:
# change info to off # logger.xpack_security_audit_deprecated_logfile.level = info logger.xpack_security_audit_deprecated_logfile.level = off
Alternatively, use the cluster update settings API to dynamically configure the logger:
PUT /_cluster/settings { "persistent": { "logger.org.elasticsearch.xpack.security.audit.logfile.DeprecatedLoggingAuditTrail": "off" } }
If you overwrite the log4j2.properties
and do not specify appenders for
any of the audit trails, audit events are forwarded to the root appender, which
by default points to the elasticsearch.log
file.
Log entry format
editThe log entries in the <clustername>_audit.json
file have the following format:
- Each log entry is a one line JSON document and each one is printed on a separate line.
-
The fields of a log entry are ordered. However, if a field does not have a value it
will not be printed. The precise line pattern, together with the complete field
order, are specified in the
log4j2.properties
config file. - The log entry does not contain nested inner JSON objects, i.e. the doc is flat.
- The field names follow a dotted notation to flatten inner objects.
- A field’s value can be a string, a number or an array of strings.
- A field’s value, a request body as well, will be escaped as per the JSON RFC 4627.
There is a list of audit event types specifying the set of fields for each sog entry type.
Deprecated log entry format
editThe log entries in the <clustername>_access.log
file have the following format:
[<timestamp>] [<local_node_info>] [<layer>] [<entry_type>] <attribute_list>
-
<timestamp>
-
When the event occurred. You can configure the
timestamp format in
log4j2.properties
. -
<local_node_info>
- Information about the local node that generated the log entry. You can control what node information is included by configuring the local node info settings.
-
<layer>
-
The layer from which this event originated:
rest
,transport
orip_filter
. -
<entry_type>
-
The type of event that occurred:
anonymous_access_denied
,authentication_failed
,access_denied
,access_granted
,connection_granted
,connection_denied
. -
<attribute_list>
-
A comma-separated list of key-value pairs that contain
data pertaining to the event. Formatted as
attr1=[val1], attr2=[val2]
. See Audit Entry Attributes for the attributes that can be included for each type of event.
Logfile output settings
editThe events and some other information about what gets logged can be
controlled using settings in the elasticsearch.yml
file. See
Audited Event Settings and
Local Node Info Settings.
No filtering is performed when auditing, so sensitive data may be audited in plain text when including the request body in audit events.
You can also configure how the logfile is written in the log4j2.properties
file located in ES_PATH_CONF
. By default, audit information is appended to the
<clustername>_audit.json
file located in the standard Elasticsearch logs
directory
(typically located at $ES_HOME/logs
). The file rolls over on a daily basis.
The deprecated logfile audit format (<clustername>_access.log
) can be disabled
from the same log4j2.properties
file (hint: look for the comment
instructing to set the log level to off
). The deprecated format is a duplication
of information that is in place to assure backwards compatibility. If you are
not strict about the audit format it is strongly recommended to only use the
<clustername>_audit.json
log appender.
Logfile audit events ignore policies
editThe comprehensive audit trail is necessary to ensure accountability. It offers tremendous value during incident response and can even be required for demonstrating compliance.
The drawback of an audited system is represented by the inevitable performance penalty incurred.
In all truth, the audit trail spends I/O ops that are not available anymore for the user’s queries.
Sometimes the verbosity of the audit trail may become a problem that the event type restrictions,
defined by include
and exclude
, will not alleviate.
Audit events ignore policies are a finer way to tune the verbosity of the audit trail. These policies define rules that match audit events which will be ignored (read as: not printed). Rules match on the values of attributes of audit events and complement the include/exclude method. Imagine the corpus of audit events and the policies chopping off unwanted events.
When utilizing audit events ignore policies you are acknowledging potential accountability gaps that could render illegitimate actions undetectable. Please take time to review these policies whenever your system architecture changes.
A policy is a named set of filter rules. Each filter rule applies to a single event attribute,
one of the users
, realms
, roles
or indices
attributes. The filter rule defines
a list of Lucene regexp, any of which has to match the value of the audit
event attribute for the rule to match.
A policy matches an event if all the rules comprising it match the event.
An audit event is ignored, therefore not printed, if it matches any policy. All other
non-matching events are printed as usual.
All policies are defined under the xpack.security.audit.logfile.events.ignore_filters
settings namespace. For example, the following policy named example1 matches
events from the kibana_system or admin_user principals and operating over indices of the
wildcard form app-logs*:
xpack.security.audit.logfile.events.ignore_filters: example1: users: ["kibana_system", "admin_user"] indices: ["app-logs*"]
An audit event generated by the kibana_system user and operating over multiple indices , some of which do not match the indices wildcard, will not match. As expected, operations generated by all other users (even operating only on indices that match the indices filter) will not match this policy either.
Audit events of different types may have different attributes.
If an event does not contain an attribute for which some policy defines filters, the
event will not match the policy.
For example, the following policy named example2, will never match authentication_success
or
authentication_failed
events, irrespective of the user’s roles, because these
event schemas do not contain the role
attribute:
xpack.security.audit.logfile.events.ignore_filters: example2: roles: ["admin", "ops_admin_*"]
Likewise, any events of users with multiple roles, some of which do not match the regexps will not match this policy.
For completeness, although practical use cases should be sparse, a filter can match
a missing attribute of an event, using the empty string ("") or the empty list ([]).
For example, the following policy will match events that do not have the indices
attribute (anonymous_access_denied
, authentication_success
and other types) as well
as events over the next index.
xpack.security.audit.logfile.events.ignore_filters: example3: indices: ["next", ""]
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