v9.4.4 Wed, Jul 15
Improper Authentication in Elasticsearch PKI realm can lead to user impersonation via specially crafted client certificates. A malicious actor would need to have such a crafted client certificate signed by a legitimate, trusted Certificate Authority.
Insertion of sensitive information in log file in Elasticsearch can lead to loss of confidentiality under specific preconditions when auditing requests to the reindex API https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-reindex
Uncontrolled Resource Consumption in Elasticsearch while evaluating specifically crafted search templates with Mustache functions can lead to Denial of Service by causing the Elasticsearch node to crash.
An issue was discovered in Elasticsearch, where a large recursion using the Well-KnownText formatted string with nested GeometryCollection objects could cause a stackoverflow.
A flaw was discovered in Elasticsearch, where a large recursion using the innerForbidCircularReferences function of the PatternBank class could cause the Elasticsearch node to crash. A successful attack requires a malicious user to have read_pipeline Elasticsearch cluster privilege assigned to them.
An allocation of resources without limits or throttling in Elasticsearch can lead to an OutOfMemoryError exception resulting in a crash via a specially crafted query using an SQL function.
An issue was discovered where improper authorization controls affected certain queries that could allow a malicious actor to circumvent Document Level Security in Elasticsearch and get access to documents that their roles would normally not allow.
It was discovered by Elastic engineering that when elasticsearch-certutil CLI tool is used with the csr option in order to create a new Certificate Signing Requests, the associated private key that is generated is stored on disk unencrypted even if the `--pass` parameter is passed in the command invocation.
An issue was discovered by Elastic whereby Watcher search input logged the search query results on DEBUG log level. This could lead to raw contents of documents stored in Elasticsearch to be printed in logs. Elastic has released 8.11.2 and 7.17.16 that resolves this issue by removing this excessive logging.
A flaw was discovered in Elasticsearch, affecting document ingestion when an index template contains a dynamic field mapping of “passthrough” type. Under certain circumstances, ingesting documents in this index would cause a StackOverflow exception to be thrown and ultimately lead to a Denial of Service. Note that passthrough fields is an experimental feature.
An uncaught exception in Elasticsearch >= 8.4.0 and < 8.11.1 occurs when an encrypted PDF is passed to an attachment processor through the REST API. The Elasticsearch ingest node that attempts to parse the PDF file will crash. This does not happen with password-protected PDF files or with unencrypted PDF files.
Incorrect Authorization issue exists in the API key based security model for Remote Cluster Security, which is currently in Beta, in Elasticsearch 8.10.0 and before 8.13.0.
A flaw was discovered in Elasticsearch, where processing a document in a deeply nested pipeline on an ingest node could cause the Elasticsearch node to crash.
It was identified that malformed scripts used in the script processor of an Ingest Pipeline could cause an Elasticsearch node to crash when calling the Simulate Pipeline API.
A flaw was discovered in Elasticsearch affecting the `_search` API that allowed a specially crafted query string to cause a stack overflow and ultimately a denial of service.
Elasticsearch generally filters out sensitive information and credentials before logging to the audit log. It was found that this filtering was not applied when requests to Elasticsearch use certain deprecated URIs for APIs. The impact of this flaw is that sensitive information such as passwords and tokens might be printed in cleartext in Elasticsearch audit logs.
An issue has been identified with how Elasticsearch handled incoming requests on the HTTP layer. An unauthenticated user could force an Elasticsearch node to exit with an OutOfMemory error by sending a moderate number of malformed HTTP requests. The issue was identified by Elastic Engineering and we have no indication that the issue is known or that it is being exploited in the wild.
A Denial of Service flaw was discovered in Elasticsearch 8.0.0 through 8.2.0. Using this vulnerability, an unauthenticated attacker could forcibly shut down an Elasticsearch node with a specifically formatted network request. Version 8.2.1 contains a patch.
In Elasticsearch versions before 7.11.2 and 6.8.15 a document disclosure flaw was found when Document or Field Level Security is used. Search queries do not properly preserve security permissions when executing certain cross-cluster search queries. This could result in the search disclosing the existence of documents the attacker should not be able to view. This could result in an attacker gaining additional insight into potentially sensitive indices.
Elasticsearch versions before 7.10.0 and 6.8.14 have an information disclosure issue when audit logging and the emit_request_body option is enabled. The Elasticsearch audit log could contain sensitive information such as password hashes or authentication tokens. This could allow an Elasticsearch administrator to view these details.
In Elasticsearch before 7.9.0 and 6.8.12 a field disclosure flaw was found when running a scrolling search with Field Level Security. If a user runs the same query another more privileged user recently ran, the scrolling search can leak fields that should be hidden. This could result in an attacker gaining additional permissions against a restricted index.
Elasticsearch versions from 6.7.0 to 6.8.7 and 7.0.0 to 7.6.1 contain a privilege escalation flaw if an attacker is able to create API keys. An attacker who is able to generate an API key can perform a series of steps that result in an API key being generated with elevated privileges.
Elasticsearch versions 7.0.0-7.3.2 and 6.7.0-6.8.3 contain a username disclosure flaw was found in the API Key service. An unauthenticated attacker could send a specially crafted request and determine if a username exists in the Elasticsearch native realm.
A race condition flaw was found in the response headers Elasticsearch versions before 7.2.1 and 6.8.2 returns to a request. On a system with multiple users submitting requests, it could be possible for an attacker to gain access to response header containing sensitive data from another user.
Directory traversal vulnerability in Elasticsearch before 1.4.5 and 1.5.x before 1.5.2, when a site plugin is enabled, allows remote attackers to read arbitrary files via unspecified vectors.
The default configuration in Elasticsearch before 1.4.0.Beta1 enables dynamic scripting, which allows remote attackers to execute arbitrary MVEL expressions and Java code via the source parameter to _search. NOTE: this only violates the vendor's intended security policy if the user does not run Elasticsearch in its own independent virtual machine.
Cross-site scripting (XSS) vulnerability in the CORS functionality in Elasticsearch before 1.4.0.Beta1 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.
The Groovy scripting engine in Elasticsearch before 1.3.8 and 1.4.x before 1.4.3 allows remote attackers to bypass the sandbox protection mechanism and execute arbitrary shell commands via a crafted script.
The snapshot API in Elasticsearch before 1.6.0 when another application exists on the system that can read Lucene files and execute code from them, is accessible by the attacker, and the Java VM on which Elasticsearch is running can write to a location that the other application can read and execute from, allows remote authenticated users to write to and create arbitrary snapshot metadata files, and potentially execute arbitrary code.
Directory traversal vulnerability in Elasticsearch before 1.6.1 allows remote attackers to read arbitrary files via unspecified vectors related to snapshot API calls.
Elasticsearch Security versions 6.5.0 and 6.5.1 contain an XXE flaw in Machine Learning's find_file_structure API. If a policy allowing external network access has been added to Elasticsearch's Java Security Manager then an attacker could send a specially crafted request capable of leaking content of local files on the Elasticsearch node. This could allow a user to access information that they should not have access to.
Elasticsearch Security versions 6.4.0 to 6.4.2 contain an error in the way request headers are applied to requests when using the Active Directory, LDAP, Native, or File realms. A request may receive headers intended for another request if the same username is being authenticated concurrently; when used with run as, this can result in the request running as the incorrect user. This could allow a user to access information that they should not have access to.
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive information from or perform destructive actions on behalf of that other ML user.
Elasticsearch Alerting and Monitoring in versions before 6.4.1 or 5.6.12 have an information disclosure issue when secrets are configured via the API. The Elasticsearch _cluster/settings API, when queried, could leak sensitive configuration information such as passwords, tokens, or usernames. This could allow an authenticated Elasticsearch user to improperly view these details.
A permission issue was found in Elasticsearch versions before 5.6.15 and 6.6.1 when Field Level Security and Document Level Security are disabled and the _aliases, _shrink, or _split endpoints are used . If the elasticsearch.yml file has xpack.security.dls_fls.enabled set to false, certain permission checks are skipped when users perform one of the actions mentioned above, to make existing data available under a new index/alias name.
A flaw was discovered in Elasticsearch 7.17.0’s upgrade assistant, in which upgrading from version 6.x to 7.x would disable the in-built protections on the security index, allowing authenticated users with “*” index permissions access to this index. Users running a cluster on an affected version that had previously been upgraded from 6.x, should upgrade to 7.17.1.
A flaw was discovered in Elasticsearch where document and field level security was not applied to searchable snapshots. This could lead to an authenticated user gaining access to information that they are unauthorized to view.
In Elasticsearch versions before 7.13.3 and 6.8.17 an uncontrolled recursion vulnerability that could lead to a denial of service attack was identified in the Elasticsearch Grok parser. A user with the ability to submit arbitrary queries to Elasticsearch could create a malicious Grok query that will crash the Elasticsearch node.
Elasticsearch versions before 7.11.2 and 6.8.15 contain a document disclosure flaw was found in the Elasticsearch suggester and profile API when Document and Field Level Security are enabled. The suggester and profile API are normally disabled for an index when document level security is enabled on the index. Certain queries are able to enable the profiler and suggester which could lead to disclosing the existence of documents and fields the attacker should not be able to view.
Elasticsearch versions 7.7.0 to 7.10.1 contain an information disclosure flaw in the async search API. Users who execute an async search will improperly store the HTTP headers. An Elasticsearch user with the ability to read the .tasks index could obtain sensitive request headers of other users in the cluster. This issue is fixed in Elasticsearch 7.10.2