Filtered by vendor Redhat
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Filtered by product Openshift Ai
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Total
53 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-15378 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-07-14 | 9.3 Critical |
| A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets. | ||||
| CVE-2026-15574 | 1 Redhat | 1 Openshift Ai | 2026-07-13 | 7.5 High |
| A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information (PII) and secrets, to persistent logs. This sensitive data, including bearer tokens and chat content, can be accessed by any user with logging privileges. This vulnerability leads to information disclosure, potentially allowing an attacker to harvest credentials and sensitive conversation content. | ||||
| CVE-2026-15044 | 1 Redhat | 1 Openshift Ai | 2026-07-13 | 6.3 Medium |
| A flaw was found in the TrustyAI Service Operator. When deploying services like gorch or NemoGuardrails, if a specific security setting is not enabled, these services can expose their communication channels without requiring users to prove their identity. This allows any other program within the cluster to access the AI guardrails and orchestrator without proper authorization. An attacker could exploit this to gain unauthorized access to sensitive information and potentially make limited changes to the AI models. | ||||
| CVE-2026-15143 | 1 Redhat | 1 Openshift Ai | 2026-07-10 | 9.3 Critical |
| A flaw was found in the file_type content detector of guardrails-detectors. This vulnerability allows a remote attacker to supply an arbitrary XML Schema Definition (XSD) string, which is processed without proper restrictions. This can lead to server-side requests to arbitrary URLs or local file reads, potentially resulting in sensitive information disclosure, such as cloud provider credentials or access to internal network services. | ||||
| CVE-2026-15154 | 1 Redhat | 1 Openshift Ai | 2026-07-08 | 6.5 Medium |
| A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline. | ||||
| CVE-2026-15063 | 1 Redhat | 1 Openshift Ai | 2026-07-08 | 6.3 Medium |
| A flaw was found in the gorch service template, which is part of the trustyai-service-operator. Even when authentication is enabled, the gorch service exposes unproxied orchestrator and detector metrics ports. This allows any pod on the cluster network to directly access these ports, bypassing the kube-rbac-proxy and its authentication mechanisms. This could lead to unauthorized access to the orchestrator and detector metrics. | ||||
| CVE-2026-56211 | 2 Aomedia, Redhat | 7 Libaom, Ai Inference Server, Enterprise Linux and 4 more | 2026-07-03 | 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 | 2026-07-03 | 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 | 2026-07-03 | 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 | 7 Libaom, Ai Inference Server, Enterprise Linux and 4 more | 2026-07-03 | 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-2026-23537 | 1 Redhat | 1 Openshift Ai | 2026-07-01 | 9.1 Critical |
| A vulnerability has been identified in the Feast Feature Server’s `/save-document` endpoint that allows an unauthenticated remote attacker to write arbitrary JSON files to the server's filesystem. Although the system attempts to restrict file locations, these protections can be bypassed, enabling an attacker to overwrite vital application configurations or startup scripts. Because this flaw requires no credentials or special privileges, any attacker with network access to the server can potentially compromise the integrity of the system. This could lead to unauthorized system modifications, denial of service through disk exhaustion, or potential remote code execution. | ||||
| CVE-2025-4574 | 1 Redhat | 7 Directory Server, Enterprise Linux, Openshift and 4 more | 2026-06-30 | 6.5 Medium |
| In crossbeam-channel rust crate, the internal `Channel` type's `Drop` method has a race condition which could, in some circumstances, lead to a double-free that could result in memory corruption. | ||||
| CVE-2024-11831 | 1 Redhat | 34 Acm, Advanced Cluster Security, Ansible Automation Platform and 31 more | 2026-06-29 | 5.4 Medium |
| A flaw was found in npm-serialize-javascript. The vulnerability occurs because the serialize-javascript module does not properly sanitize certain inputs, such as regex or other JavaScript object types, allowing an attacker to inject malicious code. This code could be executed when deserialized by a web browser, causing Cross-site scripting (XSS) attacks. This issue is critical in environments where serialized data is sent to web clients, potentially compromising the security of the website or web application using this package. | ||||
| CVE-2025-11065 | 1 Redhat | 13 Acm, Advanced Cluster Security, Certifications and 10 more | 2026-06-29 | 5.3 Medium |
| A flaw was found in github.com/go-viper/mapstructure/v2, in the field processing component using mapstructure.WeakDecode. This vulnerability allows information disclosure through detailed error messages that may leak sensitive input values via malformed user-supplied data processed in security-critical contexts. | ||||
| CVE-2026-12706 | 2 Ffmpeg, Redhat | 4 Ffmpeg, Enterprise Linux, Enterprise Linux Ai and 1 more | 2026-06-22 | 6.5 Medium |
| A use-after-free vulnerability was found in FFmpeg's RASC video decoder. The decode_move() function initializes a read pointer into a decompressed buffer, but a subsequent reallocation of that same buffer during move-table processing leaves the pointer dangling. An attacker could exploit this by providing a specially crafted AVI file containing a malicious RASC video stream. When a user opens or plays the file, the decoder reads from freed heap memory, which could lead to a denial of service (crash). | ||||
| CVE-2026-12491 | 1 Redhat | 3 Ai Inference Server, Enterprise Linux Ai, Openshift Ai | 2026-06-17 | 4.8 Medium |
| A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data. | ||||
| CVE-2026-34993 | 3 Aio-libs, Aiohttp, Redhat | 3 Aiohttp, Aiohttp, Openshift Ai | 2026-06-05 | 6.4 Medium |
| AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.14.0, using ``CookieJar.load()`` with untrusted input may allow arbitrary code execution. Most applications using this function will be doing so with the user's own data, so this is unlikely to affect many applications. Version 3.14.0 patches the issue. If an application does allow attacker controlled files to be loaded, a workaround on older releases would be to sanitize the files before loading. | ||||
| CVE-2025-22871 | 1 Redhat | 13 Acm, Ansible Automation Platform, Cryostat and 10 more | 2026-05-12 | 9.1 Critical |
| The net/http package improperly accepts a bare LF as a line terminator in chunked data chunk-size lines. This can permit request smuggling if a net/http server is used in conjunction with a server that incorrectly accepts a bare LF as part of a chunk-ext. | ||||
| CVE-2024-3596 | 5 Broadcom, Freeradius, Ietf and 2 more | 12 Brocade Sannav, Fabric Operating System, Freeradius and 9 more | 2026-05-12 | 9 Critical |
| RADIUS Protocol under RFC 2865 is susceptible to forgery attacks by a local attacker who can modify any valid Response (Access-Accept, Access-Reject, or Access-Challenge) to any other response using a chosen-prefix collision attack against MD5 Response Authenticator signature. | ||||
| CVE-2026-0603 | 1 Redhat | 13 Amq Broker, Jboss Data Grid, Jboss Enterprise Application Platform and 10 more | 2026-05-06 | 8.3 High |
| A flaw was found in Hibernate. A remote attacker with low privileges could exploit a second-order SQL injection vulnerability by providing specially crafted, unsanitized non-alphanumeric characters in the ID column when the InlineIdsOrClauseBuilder is used. This could lead to sensitive information disclosure, such as reading system files, and allow for data manipulation or deletion within the application's database, resulting in an application level denial of service. | ||||