👮‍♂️The sensitive word tool for java.(敏感词/违禁词/违法词/脏词。基于 DFA 算法实现的高性能 java 敏感词过滤工具框架。请勿发布涉及政治、广告、营销、翻墙、违反国家法律法规等内容。高性能敏感词检测过滤组件，附带繁体简体互换，支持全角半角互换，汉字转拼音，模糊搜索等功能。)

敏感词查找,验证,过滤和替换 🤓 FindAll, Validate, Filter and Replace words.

🔐Sensitive log tool for java, based on java annotation. (基于注解的 java 日志脱敏工具框架，更加优雅的日志打印。支持自定义哈希、支持基于 log4j2 插件的统一脱敏、支持 logback 插件统一脱敏)

Bus 是一个基础框架、服务套件，它基于Java8编写，参考、借鉴了大量已有框架、组件的设计，可以作为后端服务的开发基础中间件。代码简洁，架构清晰，非常适合学习使用。

Bus (应用/服务总线) 是一个基础框架、服务套件，它基于Java17+ 编写，参考、借鉴了大量已有框架、组件的设计，可以作为后端服务的开发基础中间件。代码简洁，架构清晰，非常适合学习使用。

📄Sensitive word filtering items provide TTMP, DFA, DAT, hash bucket, and Tire algorithm support filtering. Supports text highlighting, filtering, verdicts, and alternative interface support.敏感词过滤项目，提供TTMP、DFA、DAT、hash bucket、Tire算法支持过滤。可以支持文本的高亮、过滤、判词、替换的接口支持。

基于Aho–Corasick算法，更轻巧的JavaScript敏感词过滤库，更好的容错性，适用Node及浏览器环境。🚀

A fine-tuned model from Qwen2-1.5B-Instruct, capable of handling sensitive topics like violence, explicit content. / 从 Qwen2-1.5B-Instruct 微调，能处理各类敏感话题

轻量超严格敏感词库

burpsuite extension for check and extract sensitive request parameter

一款强大的数据脱敏插件，支持多种脱敏策略（中文姓名、身份证号、固定电话、手机号码、地址、电子邮箱、密码、车牌号、银行卡号、AES/DES/BASE64/RSA算法加密...），支持自定义脱敏策略，支持自定义脱敏替换符，支持多层嵌套属性脱敏，支持在Controller上使用注解跳过脱敏...

过滤敏感词汇的laravel包，使用DFA算法

📒 An Aho-Corasick algorithm based string-searching utility for Go. It supports tokenization, ignoring case, replacing text. So you can use it to find keywords in an article, filter sensitive words, etc.

The sensitive tool admin.(敏感词工具对应的控台)

📒 An Aho-Corasick algorithm based string-searching utility for Java. It supports tokenization, ignoring case, replacing text. So you can use it to find keywords in an article, filter sensitive words, etc.

golang实现DFA算法的敏感词查找、过滤替换、敏感词匹配检测 godoc:https://godoc.org/github.com/feiin/sensitivewords

This one is a very simple but cool project, something that I would recommend to anyone who is interested into DIY electronics, gadgets and learning new stuff in general.

List of sensitive fields that should be masked, obfuscated, or purged for security purposes

A fine-tuned model from Qwen2.5-1.5B-Instruct, capable of handling sensitive topics. / 从 Qwen2.5-1.5B-Instruct 微调，主要擅长处理色情话题

Anonymize sensitive data in your datasets.