ReportizFlow
Filtered by vendor Redhat
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Filtered by product Enterprise Linux Ai
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Total
45 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-56211 | 1 Redhat | 3 Enterprise Linux, Enterprise Linux Ai, Hummingbird | 2026-06-19 | 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-2026-56209 | 1 Redhat | 3 Enterprise Linux, Enterprise Linux Ai, Hummingbird | 2026-06-19 | 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 | 1 Redhat | 3 Enterprise Linux, Enterprise Linux Ai, Hummingbird | 2026-06-19 | 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-2026-56210 | 1 Redhat | 3 Enterprise Linux, Enterprise Linux Ai, Hummingbird | 2026-06-19 | 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-2026-12706 | 1 Redhat | 2 Enterprise Linux Ai, Openshift Ai | 2026-06-19 | 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-2026-6855 | 1 Redhat | 2 Enterprise Linux Ai, Instructlab | 2026-05-20 | 7.1 High |
| A flaw was found in InstructLab. A local attacker could exploit a path traversal vulnerability in the chat session handler by manipulating the `logs_dir` parameter. This allows the attacker to create new directories and write files to arbitrary locations on the system, potentially leading to unauthorized data modification or disclosure. | ||||
| CVE-2026-6859 | 1 Redhat | 2 Enterprise Linux Ai, Instructlab | 2026-05-06 | 8.8 High |
| A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise. | ||||
| CVE-2026-6385 | 2 Ffmpeg, Redhat | 5 Ffmpeg, Ai Inference Server, Enterprise Linux Ai and 2 more | 2026-04-17 | 6.5 Medium |
| A flaw was found in FFmpeg. A remote attacker could exploit this vulnerability by providing a specially crafted MPEG-PS/VOB media file containing a malicious DVD subtitle stream. This vulnerability is caused by a signed integer overflow in the DVD subtitle parser's fragment reassembly bounds checks, leading to a heap out-of-bounds write. Successful exploitation can result in a denial of service (DoS) due to an application crash, and potentially lead to arbitrary code execution. | ||||
| CVE-2025-6242 | 1 Redhat | 2 Ai Inference Server, Enterprise Linux Ai | 2026-04-15 | 7.1 High |
| A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. | ||||
| CVE-2025-8556 | 1 Redhat | 23 Acm, Advanced Cluster Security, Ceph Storage and 20 more | 2026-04-15 | 3.7 Low |
| A flaw was found in CIRCL's implementation of the FourQ elliptic curve. This vulnerability allows an attacker to compromise session security via low-order point injection and incorrect point validation during Diffie-Hellman key exchange. | ||||
| CVE-2024-8768 | 1 Redhat | 1 Enterprise Linux Ai | 2026-04-15 | 7.5 High |
| A flaw was found in the vLLM library. A completions API request with an empty prompt will crash the vLLM API server, resulting in a denial of service. | ||||
| CVE-2024-8775 | 1 Redhat | 7 Ansible Automation Platform, Ansible Automation Platform Developer, Ansible Automation Platform Inside and 4 more | 2026-04-15 | 5.5 Medium |
| A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions. | ||||
| CVE-2024-11079 | 1 Redhat | 6 Ansible Automation Platform, Ansible Automation Platform Developer, Ansible Automation Platform Inside and 3 more | 2026-04-15 | 5.5 Medium |
| A flaw was found in Ansible-Core. This vulnerability allows attackers to bypass unsafe content protections using the hostvars object to reference and execute templated content. This issue can lead to arbitrary code execution if remote data or module outputs are improperly templated within playbooks. | ||||
| CVE-2024-8939 | 1 Redhat | 1 Enterprise Linux Ai | 2026-04-15 | 6.2 Medium |
| A vulnerability was found in the ilab model serve component, where improper handling of the best_of parameter in the vllm JSON web API can lead to a Denial of Service (DoS). The API used for LLM-based sentence or chat completion accepts a best_of parameter to return the best completion from several options. When this parameter is set to a large value, the API does not handle timeouts or resource exhaustion properly, allowing an attacker to cause a DoS by consuming excessive system resources. This leads to the API becoming unresponsive, preventing legitimate users from accessing the service. | ||||
| CVE-2024-32619 | 2 Hdfgroup, Redhat | 2 Hdf5, Enterprise Linux Ai | 2025-04-18 | 7.4 High |
| HDF5 Library through 1.14.3 contains a heap-based buffer overflow in H5T_copy_reopen in H5T.c, resulting in the corruption of the instruction pointer. | ||||
| CVE-2024-32620 | 2 Hdfgroup, Redhat | 2 Hdf5, Enterprise Linux Ai | 2025-04-18 | 7.4 High |
| HDF5 Library through 1.14.3 contains a heap-based buffer over-read in H5F_addr_decode_len in H5Fint.c, resulting in the corruption of the instruction pointer. | ||||
| CVE-2024-32621 | 2 Hdfgroup, Redhat | 2 Hdf5, Enterprise Linux Ai | 2025-04-18 | 9.8 Critical |
| HDF5 Library through 1.14.3 contains a heap-based buffer overflow in H5HG_read in H5HG.c (called from H5VL__native_blob_get in H5VLnative_blob.c), resulting in the corruption of the instruction pointer. | ||||
| CVE-2024-32622 | 2 Hdfgroup, Redhat | 2 Hdf5, Enterprise Linux Ai | 2025-04-18 | 9.1 Critical |
| HDF5 Library through 1.14.3 contains a out-of-bounds read operation in H5FL_arr_malloc in H5FL.c (called from H5S_set_extent_simple in H5S.c). | ||||
| CVE-2024-32623 | 2 Hdfgroup, Redhat | 2 Hdf5, Enterprise Linux Ai | 2025-04-18 | 8.8 High |
| HDF5 Library through 1.14.3 contains a heap-based buffer overflow in H5VM_array_fill in H5VM.c (called from H5S_select_elements in H5Spoint.c). | ||||