CVE-2026-72671

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-2026-72642

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 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...

EUVD-2026-58262

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...

CVE-2026-72675

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...

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...

Kibana 8.19.20, 9.4.5, 9.5.1 Security Update (ESA-2026-126)

Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models Description: Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly...

Kibana 8.19.20, and 9.4.5 Security Update (ESA-2026-92)

Missing Authorization in Kibana Machine Learning Leading to Cross-Space Information Disclosure and Unauthorized Data Modification Description: Missing Authorization CWE-862 in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse CAPEC-122...

Kibana 8.19.20 and 9.4.5 Security Update (ESA-2026-88)

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...

Hardware Aware Automated Machine Learning Software Advisory

Summary: A potential security vulnerability for some Hardware Aware Automated Machine Learning software may allow escalation of privilege. Intel is releasing software updates to mitigate this potential vulnerability. Vulnerability Details: CVEID: CVE-2026-34175 Description: Uncontrolled search pa...

CVE-2026-12261

A flaw was found in the nltk.downloader component of NLTK. This vulnerability allows for cross-package resource and model poisoning. The downloader extracts package archives into shared namespaces and only validates package integrity after extraction. This design flaw enables one package to...

EUVD-2026-54393

A vulnerability in nltk.downloader in nltk/nltk versions = 3.9.4 allows for cross-package resource and model poisoning. The downloader extracts package archives into shared namespaces such as corpora/ and taggers/ instead of package-isolated roots, and validates package integrity only after the...

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of mobile applications. Although applications are required to undergo malware screening before being published on officia...

CVE-2024-14041

In Bouncy Castle for Java from 1.73 to before 1.78, three ML-KEM CRYSTALS-Kyber routines divided secret-derived polynomial coefficients by the modulus q: Poly.toMsg, which decodes the decrypted message, and the ciphertext compression routines Poly.compressPoly and PolyVec.compressPolyVec. An...

CVE-2026-17513

A flaw was found in whisper.cpp, a library for machine learning. A local attacker can exploit a vulnerability in the ggmlftypetoggmltype function by manipulating the ftype argument. This manipulation leads to a reachable assertion, which can cause the application to terminate, resulting in a Deni...

EUVD-2026-47584

Incorrect Authorization CWE-863 in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management...

EUVD-2026-47589

Uncontrolled Resource Consumption CWE-400 in Kibana can lead to denial of service via Excessive Allocation CAPEC-130. A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailabl...

CVE-2026-63145

Incorrect Authorization CWE-863 in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management...

CVE-2026-63261 Uncontrolled Resource Consumption in Kibana Leading to Denial of Service

Uncontrolled Resource Consumption CWE-400 in Kibana can lead to denial of service via Excessive Allocation CAPEC-130. A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailabl...