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Overview 12 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
12matches 0protected0.0% 0exploited0.0% 0CISA KEV0.0% 0public PoC0.0% 0EPSS ≥ 0.50.0%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 12 100.0%
Critical 0 0.0% High 5 41.7% Medium 7 58.3% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 12 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 0 0.0% Working exploit published 0 0.0% Proof of concept only 1 8.3% Forecast only 0 0.0% No public exploit 11 91.7%
split by peak 3 / quarter
No exploit published: 12 Medium: 7High: 5 not blocked: 12 No public exploit: 11Proof of concept only: 1
Q3 221 No exploit published1 High1 not blocked1 No public exploit1 Q4 221 No exploit published1 Medium1 not blocked1 No public exploit1 Q1 233 No exploit published3 High1 Medium2 not blocked3 No public exploit3 Q2 231 No exploit published1 Medium1 not blocked1 No public exploit1 Q3 230 Q4 231 No exploit published1 Medium1 not blocked1 No public exploit1 Q1 240 Q2 240 Q3 242 No exploit published2 Medium2 not blocked2 No public exploit2 Q4 240 Q1 250 Q2 250 Q3 250 Q4 252 No exploit published2 High2 not blocked2 Proof of concept only1 No public exploit1 Q1 260 Q2 261 No exploit published1 High1 not blocked1 No public exploit1
Q4 22Q2 23Q4 23Q2 24Q4 24Q2 25Q4 25Q2 26
12 matches Sign in to download these CVEs as CSV or JSON, or to follow them in a feed.
CVE Severity Published▾ Status Exploitation Description
CVE-2026-47835 High 2026-06-15 No exploit published No public exploit In Spring AI Vector Stores, special characters could be used to force the execution of arbitrary queries in Elasticsearch, OpenSearch, and GemFire VectorDB. Affected components: spring-ai-elasticsearch-store, spring-ai-opensearch-store, spring-ai-gemfire-store. Affected versions: Spring AI 1.0.0 through 1.0.x (fix 1.0.9). Spring AI 1.1.0 through 1.1.x (fix 1.1.8).
CVE-2025-9624 High 2025-11-25 No exploit published Proof of concept only A vulnerability in OpenSearch allows attackers to cause Denial of Service (DoS) by submitting complex query_string inputs. This issue affects all OpenSearch versions between 3.0.0 and < 3.3.0 and OpenSearch < 2.19.4.
CVE-2025-62371 High 2025-10-15 No exploit published No public exploit OpenSearch Data Prepper as an open source data collector for observability data. In versions prior to 2.12.2, the OpenSearch sink and source plugins in Data Prepper trust all SSL certificates by default when no certificate path is provided. Prior to this fix, the OpenSearch sink and source plugins would automatically use a trust all SSL strategy when connecting to OpenSearch clusters if no certificate path was explicitly configured. This behavior bypasses SSL certificate validation, potentially allowing attackers to intercept and modify data in transit through man-in-the-middle attacks. The vulnerability affects connections to OpenSearch when the cert parameter is not explicitly provided. This issue has been patched in version 2.12.2. As a workaround, users can add the cert parameter to their OpenSearch sink or source configuration with the path to the cluster's CA certificate.
CVE-2024-39901 Medium 2024-07-09 No exploit published No public exploit OpenSearch Observability is collection of plugins and applications that visualize data-driven events. An issue in the OpenSearch observability plugins allows unintended access to private tenant resources like notebooks. The system did not properly check if the user was the resource author when accessing resources in a private tenant, leading to potential data being revealed. The patches are included in OpenSearch 2.14.
CVE-2024-39900 Medium 2024-07-09 No exploit published No public exploit OpenSearch Dashboards Reports allows ‘Report Owner’ export and share reports from OpenSearch Dashboards. An issue in the OpenSearch reporting plugin allows unintended access to private tenant resources like notebooks. The system did not properly check if the user was the resource author when accessing resources in a private tenant, leading to potential data being revealed. The patches are included in OpenSearch 2.14.
CVE-2023-45807 Medium 2023-10-16 No exploit published No public exploit OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana following the license change in early 2021. There is an issue with the implementation of tenant permissions in OpenSearch Dashboards where authenticated users with read-only access to a tenant can perform create, edit and delete operations on index metadata of dashboards and visualizations in that tenant, potentially rendering them unavailable. This issue does not affect index data, only metadata. Dashboards correctly enforces read-only permissions when indexing and updating documents. This issue does not provide additional read access to data users don’t already have. This issue can be mitigated by disabling the tenants functionality for the cluster. Versions 1.3.14 and 2.11.0 contain a fix for this issue.
CVE-2023-31141 Medium 2023-05-08 No exploit published No public exploit OpenSearch is open-source software suite for search, analytics, and observability applications. Prior to versions 1.3.10 and 2.7.0, there is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the queries during extremely rare race conditions potentially leading to incorrect access authorization. For this issue to be triggered, two concurrent requests need to land on the same instance exactly when query cache eviction happens, once every four hours. OpenSearch 1.3.10 and 2.7.0 contain a fix for this issue.
CVE-2023-25806 Medium 2023-03-02 No exploit published No public exploit OpenSearch Security is a plugin for OpenSearch that offers encryption, authentication and authorization. There is an observable discrepancy in the authentication response time between calls where the user provided exists and calls where it does not. This issue only affects calls using the internal basic identity provider (IdP), and not other externally configured IdPs. Patches were released in versions 1.3.9 and 2.6.0, there are no workarounds.
CVE-2023-23613 Medium 2023-01-26 No exploit published No public exploit OpenSearch is an open source distributed and RESTful search engine. In affected versions there is an issue in the implementation of field-level security (FLS) and field masking where rules written to explicitly exclude fields are not correctly applied for certain queries that rely on their auto-generated .keyword fields. This issue is only present for authenticated users with read access to the indexes containing the restricted fields. This may expose data which may otherwise not be accessible to the user. OpenSearch 1.0.0-1.3.7 and 2.0.0-2.4.1 are affected. Users are advised to upgrade to OpenSearch 1.3.8 or 2.5.0. Users unable to upgrade may write explicit exclusion rules as a workaround. Policies authored in this way are not subject to this issue.
CVE-2023-23612 High 2023-01-26 No exploit published No public exploit OpenSearch is an open source distributed and RESTful search engine. OpenSearch uses JWTs to store role claims obtained from the Identity Provider (IdP) when the authentication backend is SAML or OpenID Connect. There is an issue in how those claims are processed from the JWTs where the leading and trailing whitespace is trimmed, allowing users to potentially claim roles they are not assigned to if any role matches the whitespace-stripped version of the roles they are a member of. This issue is only present for authenticated users, and it requires either the existence of roles that match, not considering leading/trailing whitespace, or the ability for users to create said matching roles. In addition, the Identity Provider must allow leading and trailing spaces in role names. OpenSearch 1.0.0-1.3.7 and 2.0.0-2.4.1 are affected. Users are advised to upgrade to OpenSearch 1.3.8 or 2.5.0. There are no known workarounds for this issue.
CVE-2022-41918 Medium 2022-11-15 No exploit published No public exploit OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.
CVE-2022-35980 High 2022-08-12 No exploit published No public exploit OpenSearch Security is a plugin for OpenSearch that offers encryption, authentication and authorization. Versions 2.0.0.0 and 2.1.0.0 of the security plugin are affected by an information disclosure vulnerability. Requests to an OpenSearch cluster configured with advanced access control features document level security (DLS), field level security (FLS), and/or field masking will not be filtered when the query's search pattern matches an aliased index. OpenSearch Dashboards creates an alias to `.kibana` by default, so filters with the index pattern of `*` to restrict access to documents or fields will not be applied. This issue allows requests to access sensitive information when customer have acted to restrict access that specific information. OpenSearch 2.2.0, which is compatible with OpenSearch Security 2.2.0.0, contains the fix for this issue. There is no recommended work around.