| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Nest is a framework for building scalable Node.js server-side applications. Prior to 11.1.24, an authentication bypass vulnerability exists in @nestjs/platform-fastify. When middleware is registered through NestJS's MiddlewareConsumer.forRoutes() API on the Fastify adapter, an unauthenticated client can bypass the Nest middleware registered for that route by simply appending a trailing slash (/) to the request URL. This bypass works on the default Fastify adapter configuration. This vulnerability is fixed in 11.1.24. |
| Fabric.js is a Javascript HTML5 canvas library. Prior to 7.4.0, a potential Cross-Site Scripting (XSS) vulnerability exists in Fabric.js due to improper escaping of user-controlled input during SVG serialization via the toSVG() method. Specifically, the color field within the colorStops array of a fabric.Gradient object is not properly escaped when converted into SVG <stop> elements. If an application renders the generated SVG string into the DOM, this may allow an attacker to inject arbitrary HTML/SVG and execute JavaScript in the victim's browser. This vulnerability is fixed in 7.4.0. |
| UltraJSON is a fast JSON encoder and decoder written in pure C with bindings for Python 3.7+. Prior to 5.13.0, ujson.dumps() (or ujson.dump() or ujson.encode()) have a reject_bytes=False option. When set, they may accept malformed or truncated UTF-8 byte sequences, silently rewriting them into different Unicode characters instead of rejecting them. This leads to input validation bypass and data integrity issues. This vulnerability is fixed in 5.13.0. |
| Nuxt versions 4.0.0 before 4.4.7 and 3.x before 3.21.7 contain a server-side open redirect vulnerability in navigateTo that fails to properly validate path-normalized payloads like /..//evil.com and /.//evil.com. Attackers can bypass external-host checks using path-normalization techniques to redirect users to attacker-controlled sites via the Location header or meta-refresh, enabling phishing and OAuth authorization-code theft. |
| Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.11.5 and 5.6.5, a flaw in the handling of recovery codes for app-based multi-factor authentication allows the same recovery code to be reused via concurrent submission. This issue does not affect email-based MFA. It also only applies when recovery codes are enabled. If an attacker gains access to both the user's password and their recovery codes, they get two authenticated sessions per recovery code burned instead of one, or more if they batch the parallel submissions wider, materially extending the attacker's window of access compared to what the single-use guarantee implies. This vulnerability is fixed in 4.11.5 and 5.6.5. |
| Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.11.5 and 5.6.5, the login page has an observable timing discrepancy that allows unauthenticated attackers to enumerate registered email addresses. The impact is limited to disclosing whether an account exists for a given email. This vulnerability is fixed in 4.11.5 and 5.6.5. |
| Filament is a collection of full-stack components for accelerated Laravel development. From 3.0.0 until 3.3.52, 4.11.5, and 5.6.5, any schema can contain a file upload form field, so Filament applies Livewire's WithFileUploads trait to the Livewire component the schema is embedded in. However, some schemas, such as the panel login form, do not require file uploads, and exposing unauthenticated temporary file uploads on these components is not an acceptable risk. On these components, an unauthenticated attacker could upload arbitrary files to the application's temporary storage, which could be abused to exhaust disk space or inflate storage costs. This vulnerability is fixed in 3.3.52, 4.11.5, and 5.6.5. |
| Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.11.5 and 5.6.5, the ImageColumn and ImageEntry components render raw database values without escaping HTML. Where the data passed to these components isn't validated, an attacker could plant malicious HTML or JavaScript and achieve stored XSS that executes for users who view the table or schema. This vulnerability is fixed in 4.11.5 and 5.6.5. |
| Filament is a collection of full-stack components for accelerated Laravel development. From filament/actions 4.0.0 until 4.11.4 and 5.6.4 and from filament/tables 3.0.0 until 3.3.51, the recordSelectOptionsQuery() method may be used to scope the options available in the Select field for AttachAction and AssociateAction. However, the built-in validation rule for these fields did not apply the same scope. As a result, a user who can trigger these actions could tamper with the Livewire component's state and submit an out-of-scope value. This vulnerability is fixed in filament/actions 4.11.4 and 5.6.4 and filament/tables 3.3.51. |
| Filament is a collection of full-stack components for accelerated Laravel development. From 3.0.0 until 3.3.53, a disabled RichEditor field rendered its raw state without sanitizing HTML. Where the data stored in this field's state isn't sanitized already when the form state was filled, an attacker could plant malicious HTML or JavaScript and achieve XSS that executes for users who view the form. This vulnerability is fixed in 3.3.53. |
| vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0. |
| vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0. |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0. |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0. |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1. |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0. |
| A flaw was found in the Samba printing subsystem. Samba passes the client-controlled job description string to the command configured with the "print command" setting via the "%J"
substitution character without escaping shell meta characters. A remote attacker could exploit this vulnerability by sending a specially crafted print job description that contains unescaped shell characters. This could lead to remote code execution on the affected system. |
| A flaw was found in Samba. A remote attacker can exploit a misconfiguration in Samba file servers and classic domain controllers that use the "check password script" feature. If this script is configured with the %u substitution character, the client-controlled username is passed without proper escaping of shell meta-characters. This vulnerability allows an attacker to achieve remote command execution on the affected system. This issue primarily affects non-standard configurations where the "check password script" is used with %u and the samba-dcerpcd service is started as a system service. |
| A flaw was found in Samba’s vfs_worm module. The module is intended to provide write-once, read-many (WORM) protections by preventing modification of files after a configurable grace period. Due to insufficient validation during rename operations, an authenticated user with write access to a share could overwrite a protected file by renaming a newly created file over the existing WORM-protected file. |
| A flaw was found in Samba’s handling of NTFS-style reparse points on shares configured with read only = yes. Due to missing SMB-layer access checks, authenticated users with underlying filesystem write permissions may create or delete reparse point metadata through SMB operations even on read-only exports. This could allow modification of SMB-visible file behavior, including converting files into symbolic links or other reparse point types. |
