| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Full details and mitigation steps are currently restricted and will be published at a later date. |
| Full details and mitigation steps are currently restricted and will be published at a later date. |
| Full details and mitigation steps are currently restricted and will be published at a later date. |
| Full details and mitigation steps are currently restricted and will be published at a later date. |
| Full details and mitigation steps are currently restricted and will be published at a later date. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an uncaught exception. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an authentication bypass through an alternative path or channel. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in visual gen server, where an attacker could cause an unsafe deserialization by unauthorized zeroMQ deserialization. A successful exploit of this vulnerability might lead to code execution. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure. |
| This CVE ID has been rejected or withdrawn by its CVE Numbering Authority. |
| This CVE ID has been rejected or withdrawn by its CVE Numbering Authority. |
| NVIDIA TensorRT for contains a vulnerability where a user might cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution. |
| NVIDIA TensorRT contains a vulnerability where an attacker might cause an overflow to a heap-based buffer. A successful exploit of this vulnerability might lead to code execution. |
| ComfyUI is a modular diffusion model GUI, API, and backend with a graph-and-node interface. Prior to 0.28.0, folder_paths.get_annotated_filepath and exists_annotated_filepath join workflow-controlled annotated filenames to a base directory without a containment check, allowing an unauthenticated crafted POST /prompt workflow using LoadImage or sibling nodes to probe arbitrary host paths and exfiltrate image-format files through /view. LoadImage defines a VALIDATE_INPUTS method, which causes the execution engine to skip COMBO (input-directory) validation. Affected nodes include LoadImage, LoadImageMask, LoadImageOutput, LoadAudio, LoadLatent, LoadVideo, and Load3D. This issue is fixed in version 0.28.0. |
| A heap overflow in the ifsbreakup() function (shell/ash.c) of Busybox v1.38.0 allows attackers to cause a Denial of Service (DoS) via supplying a crafted input. |
| ComfyUI is a node-based diffusion model GUI, API, and backend. Prior to 0.28.0, GET /userdata/{file} served user-controlled HTML and SVG files with extension-derived content types, allowing stored cross-site scripting in the ComfyUI origin and access to browser-stored API tokens, settings, workflows, and authenticated-equivalent API calls. The handler used web.FileResponse(path), so an uploaded .html/.svg was served as text/html/image/svg+xml. POST /userdata stores arbitrary request bodies (confined to the user's userdata directory). When a victim navigated to the file URL, the embedded script executed same-origin. The /view endpoint already forced dangerous MIME types to download; that protection had never been applied to /userdata. This issue is fixed in version 0.28.0. |
| ComfyUI is a modular diffusion model GUI, api and backend with a graph/nodes interface. Prior to 0.28.0, get_model_preview in app/model_manager.py joins an unrestricted filename route capture to a selected model directory without a containment check, allowing an unauthenticated remote attacker to use traversal, encoded traversal, absolute paths, or an unbounded path_index to read image-decodable files and enumerate host paths. get_model_preview (app/model_manager.py) built the path with os.path.join(folder, filename) where filename is an unrestricted {filename:.*} route capture. Literal ../, percent-encoded %2e%2e%2f, and absolute paths all escaped the model directory; path_index was also unbounded. The target file is piped through Pillow and re-encoded as WEBP, so disclosure is limited to image-decodable files plus a file-existence/enumeration oracle (and internal-path leakage via path_index errors). This issue is fixed in version 0.28.0. |
| ComfyUI is a modular diffusion model GUI, api and backend with a graph/nodes interface. Prior to 0.28.0, the /view endpoint served uploaded SVG files inline because image/svg+xml and related XML content types were absent from the dangerous-content-type handling, allowing stored cross-site scripting in the ComfyUI origin. This issue is fixed in version 0.28.0. |
