Alertas de Seguridad de la Información

Missing Authorization (CWE-862) in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse (CAPEC-122). Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep the machine learning data of one space separated from another. Part of the Machine Learning fu…

Missing Authorization (CWE-862) in Kibana can lead to unauthorized execution of Osquery and Elastic Defend response actions on managed hosts via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A Kibana user who is able to author and evaluate Elastic Security detection rules can cause response actions to be carried out against enrolled agents without holding the Osquery live que…

The Elastic Security capability that suggests existing field values while a user authors endpoint policy artifacts queries Elastic Defend event data with Kibana's internal Elasticsearch account instead of the account of the requesting user. Only Kibana feature privileges are verified, and the caller's Elasticsearch index privileges are not. An authenticated user who holds Elastic Security feature …

Observable Discrepancy (CWE-203) in Kibana Fleet can lead to information disclosure via Excavation (CAPEC-116). Fleet removes the Elasticsearch API key value of an enrolled Elastic Agent from the responses of its agent listing capability, but that capability accepted caller-supplied filter expressions over the stored field that holds the value, and evaluated them with Kibana's own internal Elastic…

The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with the privileges required to upload and deploy a trained model can craft a model that reads and writes memo…

Kibana Agent Builder determines whether a caller owns a private agent by comparing a stable user identifier when one is recorded, and falling back to a comparison of the username when it is not. A username is not unique across Elasticsearch authentication realms, so two distinct principals that share a username in different realms are treated as the same owner. This discloses the configuration and…

Insecure direct object reference in the mongodb_memory, elasticsearch_memory, and mem0_memory tools in Amazon Strands Agents Tools before 0.8.3 might allow remote authenticated users to access, modify, or delete memories belonging to other tenants by influencing the LLM to emit tool calls with a forged namespace parameter. To remediate this issue, users should upgrade to version 0.8.3.

Vulnerability in the Oracle Communications BRM - Elastic Charging Engine product of Oracle Communications (component: Diameter Gateway and SDK). Supported versions that are affected are 15.0.0.0.0, 15.0.1.0.0, 15.1.0.0.0 and 15.2.0.0.0. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Communications BRM - Elastic Charging Engine execut…

Improper Output Neutralization for Logs (CWE-117) in Kibana can lead to log injection via Log Injection-Tampering-Forging (CAPEC-93). An attacker can supply specially crafted input that is written to log files without proper neutralization. When the log files are subsequently viewed in a terminal that interprets control sequences, the injected content may alter the displayed log data.

Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. From 0.101.0 until 0.184.0, sandbox previews that were switched from public to private could remain reachable without authentication for a short period after the change, due to a cached visibility state that was not invalidated when the sandbox's visibility changed. This vulnerability is fix…

Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. Prior to 0.185.0, Daytona's organization role update and delete endpoints authorized the caller as an owner of the organization named in the request path, but resolved and mutated the target role by its identifier alone, without verifying the role belonged to that organization. An authentica…

Daytona is a secure and elastic infrastructure runtime for AI-generated code execution and agent workflows. Prior to 0.184.0, organization invitations could be accepted (and declined) by a user whose email matched the invitation but had not been verified. Daytona authenticates users via OIDC and matches an invitation's target email against the email in the caller's token, but the invitation accept…

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).