15035 matches found
K000162928: Node.JS vulnerability CVE-2026-58043
Security Advisory Description A flaw in Node.js Permission Model enforcement can over-grant filesystem access across radix-tree prefix boundaries. Under --permission, an attacker who is granted access to one path can abuse boundary handling to read from or write to paths outside the intended...
CVE-2026-72811: Improper Neutralization of Special Elements used in an SQL Command
SiYuan versions = v3.7.2 contain a SQL injection vulnerability in the backlink/mention search query kernel/model/backlink.go, which concatenates stored block metadata title, name, alias, anchor text and the client-supplied keyword into a SQL MATCH/search statement while escaping only the...
Authorization Bypass Through User-Controlled Key
Overview kibana is an open source Apache Licensed, browser-based analytics and search dashboard for Elasticsearch. Affected versions of this package are vulnerable to Authorization Bypass Through User-Controlled Key in the authorization bypass. An attacker can gain unauthorized access to inferenc...
Missing Authorization
Overview kibana is an open source Apache Licensed, browser-based analytics and search dashboard for Elasticsearch. Affected versions of this package are vulnerable to Missing Authorization when removing a saved object from a current space. An attacker can modify machine learning trained model spa...
CVE-2026-73416 vulnerabilities
Vulnerabilities for packages: tensorflow-cpu-jupyter...
CVE-2026-72642
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 th...
CVE-2026-72629
Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...
CVE-2026-72629 Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models
Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...
CVE-2026-72629
Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...
EUVD-2026-58289
Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...
CVE-2026-72642 Use of Out-of-range Pointer Offset in the Elasticsearch Machine Learning Native Inference Process
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 th...
CVE-2026-72642
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 th...
EUVD-2026-58287
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 th...
CVE-2026-72642
The CVE notes a flaw in Elasticsearch’s native ML inference where a model operation computes a memory address from an offset without bounds checking, enabling heap corruption that can crash the inference process and potentially allow arbitrary code execution within that process. Affected configur...
CVE-2026-72642 Use of Out-of-range Pointer Offset in the Elasticsearch Machine Learning Native Inference Process
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 th...
EUVD-2026-58258
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
CVE-2026-72671 Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
CVE-2026-72671 Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
CVE-2026-72671 Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
CVE-2026-72671
CVE-2026-72671 describes a missing authorization in Kibana’s Machine Learning feature that can allow an authenticated user with certain ML privileges to remove a trained model from a space without the trained-model privilege. The vulnerability affects Kibana ML capabilities that remove saved obje...