CVE-2026-72388

The CVE-2026-72388 entry concerns the Linux kernel DRM/Panthor driver. Root cause: when acquiring the dma_fence lock, drivers can be reached from hardirq context, requiring the IRQ-safe variant and a guard-model switch. Affected component is drm/panthor in the kernel’s fence handling; fix involve...

CVE-2026-72388 drm/panthor: Always use the IRQ-safe variant when acquiring the fence lock

In the Linux kernel, the following vulnerability has been resolved: drm/panthor: Always use the IRQ-safe variant when acquiring the fence lock Since dmafence objects can be shared with other subsystems, they may be accessed from hardirq context in those drivers, and we have to take that into...

SUSE SLES16 Security Update : nodejs22 (SUSE-SU-2026:23130-1)

The remote SUSE Linux SLES16 / SLESSAP16 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2026:23130-1 advisory. Update to 22.23.2. - CVE-2026-54272: ip-address: misclassification of IPv4-mapped/NAT64 IPv6 addresses allows for bypass of SSRF a...

SUSE SLES16 Security Update : nodejs24 (SUSE-SU-2026:23131-1)

The remote SUSE Linux SLES16 / SLESSAP16 host has packages installed that are affected by multiple vulnerabilities as referenced in the SUSE-SU-2026:23131-1 advisory. Update to 24.18.1. - CVE-2026-54272: ip-address: misclassification of IPv4-mapped/NAT64 IPv6 addresses allows for bypass of SSRF a...

CVE-2026-73067

A flaw was found in Tesseract, an open-source Optical Character Recognition OCR engine. A remote attacker could exploit this vulnerability by providing a specially crafted .traineddata model. When this malicious model is loaded, it can cause the software to read beyond its allocated memory, leadi...

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-2026-73416 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...

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-2026-72629

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-2026-72642

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

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 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...