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Search Results (24621 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-66780 | 1 Redhat | 2 Acm, Advanced Cluster Management For Kubernetes | 2026-10-19 | 6.5 Medium |
| A flaw was found in the submariner-operator component. The `submariner-k8s-broker-cluster` Role, which is assigned to joined clusters, possesses excessive permissions. This allows a compromised cluster to alter network configurations, specifically by overwriting other clusters' endpoint information. Consequently, an attacker can redirect inter-cluster tunnel traffic, enabling a Man-in-the-Middle (MITM) attack across the entire cluster mesh. | ||||
| CVE-2026-109131 | 1 Redhat | 1 Ansible Automation Platform | 2026-10-19 | 5.4 Medium |
| The Hub collection module documentation renderer in the unified Ansible Automation Platform UI (built from upstream ansible-ui, frontend/hub) renders a documentation URL part (formatPartURL in DocumentationParsers.tsx) as a link without restricting the URL protocol/scheme. A collection whose documentation contains a link using a script-executing URL scheme can therefore cause script to run in the same origin as the Hub UI when another authenticated user views and activates that link in the collection documentation page. This is a stored cross-site scripting issue in shipped Platform UI code (present in the AAP 2.6 and 2.7 release branches). | ||||
| CVE-2026-89059 | 1 Redhat | 22 Apicurio Registry, Build Keycloak, Build Of Apache Camel For Quarkus and 19 more | 2026-10-19 | 7.5 High |
| A flaw was found in RESTEasy's IIOImageProvider, which decodes attacker-supplied image request bodies without enforcing any limit on the declared image dimensions or pixel count. A remote, unauthenticated attacker can send a small crafted image declaring enormous dimensions to trigger a very large memory allocation, exhausting the JVM heap and resulting in a denial of service. | ||||
| CVE-2026-89058 | 1 Redhat | 22 Apicurio Registry, Build Keycloak, Build Of Apache Camel For Quarkus and 19 more | 2026-10-19 | 7.4 High |
| A flaw was found in RESTEasy's CorsFilter, which, when configured to allow all origins ("*"), reflects the request's Origin header back in the Access-Control-Allow-Origin response together with Access-Control-Allow-Credentials: true. This permissive cross-origin policy allows a malicious website to make credentialed cross-origin requests and read authenticated responses from a victim's session, resulting in a loss of confidentiality. | ||||
| CVE-2026-89098 | 2 Nfs, Redhat | 4 Nfs-utils, Enterprise Linux, Openshift and 1 more | 2026-10-19 | 5.5 Medium |
| A flaw was found in nfs-utils. The fsidd daemon improperly handles input received over its local domain socket by relying on program assertions to verify command arguments. A local user can exploit this vulnerability by sending a malformed request lacking the required arguments to trigger an assertion failure. This causes the daemon to crash, resulting in a Denial of Service (DoS) for filesystem identifier lookup services until restarted. | ||||
| CVE-2026-62439 | 1 Redhat | 1 Enterprise Linux | 2026-10-19 | 7 High |
| A flaw was found in GIMP. An integer overflow occurs in the file-pvr plug-in when calculating memory buffer sizes for image dimensions. By tricking a user into opening or previewing a specially crafted PowerVR (.pvr) file, an attacker can trigger a heap-based buffer overflow, potentially leading to arbitrary code execution or a Denial of Service (DoS) via an application crash. | ||||
| CVE-2026-97185 | 2 Gimp, Redhat | 2 Gimp, Enterprise Linux | 2026-10-19 | 7.8 High |
| A flaw was found in GIMP. When processing a specially crafted GIMPressionist preset file, the plug-in does not properly validate vector indices before writing into fixed-size arrays. This can lead to an out-of-bounds write, corrupting memory. An attacker could exploit this by convincing a user to load a malicious preset file, potentially causing a crash or enabling arbitrary code execution. | ||||
| CVE-2026-92248 | 1 Redhat | 1 Enterprise Linux | 2026-10-19 | 7.8 High |
| A flaw was found in the file-psd plugin in GIMP. When generating a thumbnail preview for a specially crafted PSD (Photoshop Document) image file, an integer overflow occurs during the multiplication of values from an embedded JPEG header. This leads to an undersized heap allocation, resulting in a heap-based buffer overflow when the image data is decoded. This buffer overflow corrupts adjacent heap objects, allowing for a controlled memory write that can result in an application crash or arbitrary code execution. | ||||
| CVE-2026-90947 | 1 Redhat | 1 Enterprise Linux | 2026-10-19 | 7.8 High |
| A flaw was found in GIMP. When processing a specially crafted lighting preset file, the Lighting Effects filter does not properly validate the number of light sources. This can lead to an out-of-bounds write, corrupting memory. An attacker could exploit this by convincing a user to open a malicious preset file, potentially causing a crash or enabling arbitrary code execution. | ||||
| CVE-2026-90948 | 1 Redhat | 1 Enterprise Linux | 2026-10-19 | 7.8 High |
| A flaw was found in GIMP's ICO file loader. When processing an ICO file containing an embedded PNG image, an integer overflow can occur during the calculation of the required buffer size. This leads to an undersized buffer being allocated, causing a heap-based buffer overflow when the decoded pixel data is written. A remote attacker could exploit this by crafting a malicious ICO file, which, when opened, could lead to arbitrary code execution or a crash. | ||||
| CVE-2026-18618 | 1 Redhat | 1 Openshift Ai | 2026-10-19 | 7.5 High |
| A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network access to the MLMD pod, could exploit these vulnerabilities by sending specially crafted HTTP/2 requests. This could lead to a denial of service by crashing the MLMD pod, disrupting all pipeline runs in the affected namespace. | ||||
| CVE-2026-15218 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-10-19 | 7.9 High |
| A flaw was found in the maas-api and maas-controller ServiceAccounts within Red Hat OpenShift AI. These ServiceAccounts are granted cluster-wide permissions that exceed their operational requirements. An attacker who compromises the identity of these ServiceAccounts, either through a remote code execution vulnerability or by creating a malicious pod in the same namespace, could exploit these excessive permissions. This could lead to full cluster administrator privileges through the creation of new ClusterRoleBindings or the disclosure of sensitive information by accessing all secrets across the cluster. | ||||
| CVE-2026-56211 | 2 Aomedia, Redhat | 7 Libaom, Ai Inference Server, Enterprise Linux and 4 more | 2026-10-19 | 7.1 High |
| A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder's SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames. | ||||
| CVE-2026-56210 | 2 Aomedia, Redhat | 7 Libaom, Ai Inference Server, Enterprise Linux and 4 more | 2026-10-19 | 7.1 High |
| A heap-buffer-overflow read vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows setting a spatial_layer_id exceeding the configured number of layers. This causes an out-of-bounds heap read of approximately 40,728 bytes when computing a layer context array index. An attacker who can influence SVC encoder parameters in a network-facing service could exploit this for information disclosure (heap content leak) or denial of service (segmentation fault from hitting unmapped memory). | ||||
| CVE-2026-56209 | 2 Aomedia, Redhat | 7 Libaom, Ai Inference Server, Enterprise Linux and 4 more | 2026-10-19 | 7.1 High |
| An arbitrary address write vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution. | ||||
| CVE-2026-56208 | 2 Aomedia, Redhat | 14 Libaom, Ai Inference Server, Enterprise Linux and 11 more | 2026-10-19 | 7.6 High |
| A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution. | ||||
| CVE-2026-18947 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-10-19 | 8.5 High |
| A flaw was found in Feast. An authorization bypass vulnerability exists in the /materialize and /materialize-incremental endpoints. By sending a specially crafted request that omits the feature_views field, an attacker can bypass intended permission checks. This allows an unauthenticated remote attacker, or any authenticated user, to trigger a full re-materialization of all feature views. The consequence is a Denial of Service (DoS) due to data corruption and significant resource consumption across all tenants. | ||||
| CVE-2026-18941 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-10-19 | 7.7 High |
| A flaw was found in Feast and feast-operator. The default configuration for both the Feast SDK and the feast-operator is "no_auth," meaning no security manager is installed. This default allows unauthenticated and unauthorized access to feature-server, registry-server, and offline-server endpoints. A remote attacker, by exploiting this missing authentication, could achieve remote code execution (RCE) by storing a malicious User-Defined Function (UDF) on the feature-server, trigger a denial of service (DoS) by forcing re-materialization of all tenant features, and gain unauthorized access to cross-tenant data. | ||||
| CVE-2026-18621 | 2 Red Hat, Redhat | 3 Red Hat Openshift Ai (rhoai), Ai Inference Server, Openshift Ai | 2026-10-19 | 7.6 High |
| A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node. | ||||
| CVE-2026-13717 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-10-19 | 8.8 High |
| A flaw was found in the Red Hat OpenShift AI (RHOAI) MaaS Gateway. Improper configuration of the Gateway in a model-serving context allows a standard user with low privileges to intercept, read, log, and alter all MaaS model traffic. This includes sensitive information such as access keys, input prompts, and outputs, leading to significant information disclosure and data tampering. | ||||