CPE Details
Elastic Elasticsearch 7.13.3
7.13.3
2021-07-26
17h26 +00:00
17h26 +00:00
2021-07-27
11h59 +00:00
11h59 +00:00
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CPE Name: cpe:2.3:a:elastic:elasticsearch:7.13.3:*:*:*:*:*:*:*
Informations
Vendor
elasticProduct
elasticsearchVersion
7.13.3Related CVE
| CVE ID | Published | Description | Score | Severity |
|---|---|---|---|---|
| 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. | 7.5 |
High |
||
| 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. This issue only affects users that use Watcher and have a Watch defined that uses the search input and additionally have set the search input’s logger to DEBUG or finer, for example using: org.elasticsearch.xpack.watcher.input.search, org.elasticsearch.xpack.watcher.input, org.elasticsearch.xpack.watcher, or wider, since the loggers are hierarchical. | 6.5 |
Medium |
||
| 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. | 7.5 |
High |
||
| An issue was identified that allowed the unsafe deserialization of java objects from hadoop or spark configuration properties that could have been modified by authenticated users. Elastic would like to thank Yakov Shafranovich, with Amazon Web Services for reporting this issue. | 7.8 |
High |
||
| 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. | 7.5 |
High |
||
| An issue was found with how API keys are created with the Fleet-Server service account. When an API key is created with a service account, it is possible that the API key could be created with higher privileges than intended. Using this vulnerability, a compromised Fleet-Server service account could escalate themselves to a super-user. | 8.8 |
High |
||
| 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. Note that audit logging is disabled by default and needs to be explicitly enabled and even when audit logging is enabled, request bodies that could contain sensitive information are not printed to the audit log unless explicitly configured. | 4.4 |
Medium |
||
| 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. | 7.5 |
High |
||
| 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. | 7.5 |
High |
||
| Elasticsearch before 7.14.0 did not apply document and field level security to searchable snapshots. This could lead to an authenticated user gaining access to information that they are unauthorized to view. | 6.5 |
Medium |
||
| All versions of Elastic Cloud Enterprise has the Elasticsearch “anonymous” user enabled by default in deployed clusters. While in the default setting the anonymous user has no permissions and is unable to successfully query any Elasticsearch APIs, an attacker could leverage the anonymous user to gain insight into certain details of a deployed cluster. | 7.5 |
High |
||
| A memory disclosure vulnerability was identified in Elasticsearch 7.10.0 to 7.13.3 error reporting. A user with the ability to submit arbitrary queries to Elasticsearch could submit a malformed query that would result in an error message returned containing previously used portions of a data buffer. This buffer could contain sensitive information such as Elasticsearch documents or authentication details. | 6.5 |
Medium |
The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.