27 matches found
cracken
Cracken Cracken is a fast password wordlist generator, Smartlist creation and password hybrid-mask analysis tool written in pure safe Rust more on talk/talk. Inspired by great tools like maskprocessormp, hashcathashcat, Crunchcrunch and 🤗 HuggingFace's tokenizerstokenizers. What? Why? Woot?? At...
cracken
Cracken Cracken es un rápido generador de listas de palabras, creador de smartlists y herramienta de análisis de máscaras híbridas para contraseñas, escrito en Rust puro y seguro más información en talk/talk. Inspirado por grandes herramientas como maskprocessormp, hashcathashcat, Crunchcrunch y...
python313-tokenizers-0.23.2-1.1 on GA media (moderate)
python313-tokenizers-0.23.2-1.1 on GA media Announcement ID: openSUSE-SU-2026:11936-1 Rating: moderate Cross-References: CVE-2026-93599 CVE-2026-93600 CVE-2026-93601 CVE-2026-93602 CVSS scores: CVE-2026-93599 SUSE : 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVE-2026-93599 SUSE : 8.7...
PT-2026-105645
These are all security issues fixed in the python313-tokenizers-0.23.2-1.1 package on the GA media of openSUSE Tumbleweed...
OPENSUSE-SU-2026:11936-1 python313-tokenizers-0.23.2-1.1 on GA media
These are all security issues fixed in the python313-tokenizers-0.23.2-1.1 package on the GA media of openSUSE Tumbleweed...
CVE-2026-85670
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
EUVD-2026-71126
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
CVE-2026-85670 tokenizers BpeBuilder Buffer Overflow via merge token
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
CVE-2026-85670
CVE-2026-85670 affects Hugging Face tokenizers (observed in version 0.23.1 ). The vulnerability is an out-of-bounds buffer access in BpeBuilder::build (tokenizers/src/models/bpe/model.rs). When loading a tokenizer.json via Tokenizer::from_file/from_str, the builder sizes a scratch buffer to the l...
CVE-2026-85670 tokenizers BpeBuilder Buffer Overflow via merge token
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
CVE-2026-85670 tokenizers BpeBuilder Buffer Overflow via merge token
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
PT-2026-85563
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::from file/from str, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rul...
CVE-2026-85670: Out-of-bounds Write
tokenizers Hugging Face is affected by an out-of-bounds buffer access in BpeBuilder::build tokenizers/src/models/bpe/model.rs. When loading a tokenizer.json via Tokenizer::fromfile/fromstr, the builder sizes a scratch buffer to the longest vocabulary key, then writes each concatenated merge rule...
CVE-2026-9856
A vulnerability in huggingface/transformers versions =5.8.0.dev0 allows an attacker to perform arbitrary file writes via path traversal. The issue resides in the savepretrained methods of PreTrainedTokenizerBase and ProcessorMixin, where keys from the chattemplate dictionary are used directly as...
CVE-2026-5817
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...
CVE-2026-5817
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...
EUVD-2026-31493
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...
CVE-2026-5817
CVE-2026-5817 affects the vllm-metal backend used by Docker Model Runner on macOS. The backend loads model tokenizers with trust_remote_code=True, causing transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files from models pulled from an OCI registry. This can en...
CVE-2026-5817 Docker Model Runner container-to-host code execution via unsandboxed trust_remote_code in Python inference backends
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...
CVE-2026-5817 Docker Model Runner container-to-host code execution via unsandboxed trust_remote_code in Python inference backends
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...