cracken

Cracken Cracken 是一个快速的密码字典生成器、智能列表创建和密码混合掩码分析工具，完全使用安全的 Rust 编写（更多信息请参见 talk/）。受 maskprocessor、hashcat、Crunch 以及 🤗 HuggingFace 的 tokenizers 等优秀工具的启发。 什么？为什么？哇哦！！ 在 DeepSec2021 上，我们提出了一种新方法，通过利用 NLP tokenizers 分析密码中的常见子字符串，将密码作为混合掩码进行分析（更多信息请参见 talk/）。 我们的方法将密码拆分为子词，而不仅仅是字符掩码。例如，HelloWorld123! 被拆分...

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/. Inspired by great tools like maskprocessor, hashcat, Crunch and 🤗 HuggingFace's tokenizers. What? Why? Woot?? At DeepSec2021 we presented a new...

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-2026-9856

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...

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...

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 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

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...

PT-2026-42830

Name of the Vulnerable Software and Affected Versions Docker Model Runner on macOS affected versions not specified Description The vllm-metal inference backend unconditionally sets trust remote code=True when loading model tokenizers and operates without sandboxing. This allows the...

NuGet Package 'Microsoft.ML.Tokenizers' Detection

The remote host has a 'Microsoft.ML.Tokenizers' with a Verified NuGet package status and is installed on the remote host. Nessus has not tested for this issue but has instead relied only on the application's self-reported version number. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if...

CVE-2024-34359

CVE-2024-34359 affects llama-cpp-python (Python bindings for llama.cpp). The vulnerability arises when init loads a model’s chat template from the gguf metadata and constructs self.chat_handler via llama_chat_format.Jinja2ChatFormatter.to_chat_handler(), using a sandbox-less Jinja2 Environment. R...

SUSE CVE-2021-43854

NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Versions prior to 3.6.5 are vulnerable to regular expression denial of service ReDoS attacks. The vulnerability is present in...