technology software

Chinese

Within the application-focused generic top-level domain (.app), 'determined-gold-vk6bfjwdn6-a1lveit6w0.edgeone.app' is registered and includes subdomain 'determined-gold-vk6bfjwdn6-a1lveit6w0'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

html/d7/17/d717b7a3-835c-49b7-9182-a1172c4b6c1f.html.gz

inline; filename*=UTF-8''config.json; filename="config.json";

inline; filename*=UTF-8''tokenizer_config.json; filename="tokenizer_config.json";

aa5002b70e789798da263f5f99c62bd3e8fcd0c119258a493c40c180648365fa

31259d9fc64f70f7f4f4769c39e62ee81685fa4f8b5f6053e3c20f8e1fdc58c0

viewport

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Amazon EC2 Abuse

IP Management

Amazon AWS Network Operations

Amazon.com, Inc.

AWS RPKI Management POC

IP Routing

Amazon EC2 Network Operations

AMAZO-CF


        // 从 CDN 引入 Transformers.js
        import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.8.1';

        let generator = null;
        let conversationHistory = [];

        const statusEl = document.getElementById('status');
        const progressFill = document.getElementById('progress-fill');
        const chatContainer = document.getElementById('chat-container');
        const outputEl = document.getElementById('output');
        const userInput = document.getElementById('user-input');
        const sendBtn = document.getElementById('send-btn');

        // 初始化模型
        async function initModel() {
            try {
                // 检查 WebGPU 支持
                const hasWebGPU = typeof navigator !== 'undefined' && navigator.gpu;
                const device = hasWebGPU ? 'webgpu' : 'wasm';
                
                statusEl.textContent = `⏳ 正在加载模型 (${device.toUpperCase()} 后端)...`;
                
                // 创建文本生成 pipeline
                // 使用 Qwen2.5-1.5B-Instruct，参数量 1.5B，支持中英文
                generator = await pipeline(
                    'text-generation',
                    'onnx-community/Qwen2.5-1.5B-Instruct',
                    {
                        device: device,
                        dtype: 'q4',  // 4-bit 量化，减小模型体积
                        progress_callback: (progress) => {
                            if (progress.status === 'progress') {
                                const percent = Math.round(progress.progress * 100);
                                progressFill.style.width = percent + '%';
                                statusEl.textContent = `⏳ 下载模型中... ${percent}%`;
                            } else if (progress.status === 'done') {
                                progressFill.style.width = '100%';
                                statusEl.textContent = '✅ 模型加载完成！';
                            }
                        }
                    }
                );

                statusEl.textContent = '✅ 模型已就绪！';
                progressFill.style.width = '100%';
                chatContainer.style.display = 'block';
                sendBtn.disabled = false;
                userInput.disabled = false;
                userInput.focus();

            } catch (error) {
                statusEl.textContent = `❌ 加载失败: ${error.message}`;
                console.error('初始化错误:', error);
            }
        }

        // 发送消息
        window.sendMessage = async function() {
            const message = userInput.value.trim();
            if (!message || !generator) return;

            // 显示用户消息
            outputEl.innerHTML += `\n\n👤 你: ${message}`;
            userInput.value = '';
            sendBtn.disabled = true;
            userInput.disabled = true;

            // 添加加载提示
            outputEl.innerHTML += '\n\n🤖 AI: 思考中...';
            outputEl.scrollTop = outputEl.scrollHeight;

            try {
                // 构建对话上下文
                const messages = [
                    { role: 'system', content: '你是一个有帮助的助手，用简洁清晰的方式回答问题。' },
                    ...conversationHistory.slice(-4), // 保留最近 4 轮对话
                    { role: 'user', content: message }
                ];

                // 调用模型生成回复
                const result = await generator(messages, {
                    max_new_tokens: 256,
                    temperature: 0.7,
                    top_p: 0.9,
                    do_sample: true
                });

                const reply = result[0].generated_text.at(-1).content;

                // 移除"思考中"
                const lines = outputEl.innerHTML.split('\n');
                lines[lines.length - 1] = `🤖 AI: ${reply}`;
                outputEl.innerHTML = lines.join('\n');

                // 保存对话历史
                conversationHistory.push(
                    { role: 'user', content: message },
                    { role: 'assistant', content: reply }
                );

            } catch (error) {
                const lines = outputEl.innerHTML.split('\n');
                lines[lines.length - 1] = `❌ 错误: ${error.message}`;
                outputEl.innerHTML = lines.join('\n');
            } finally {
                sendBtn.disabled = false;
                userInput.disabled = false;
                userInput.focus();
                outputEl.scrollTop = outputEl.scrollHeight;
            }
        };

        // 回车发送
        userInput.addEventListener('keypress', (e) => {
            if (e.key === 'Enter' && !sendBtn.disabled) {
                sendMessage();
            }
        });

        // 启动初始化
        initModel();
    

浏览器运行小语言模型 - Transformers.js

✅ Low Risk - https://determined-gold-vk6bfjwdn6-a1lveit6w0.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
6	151.101.1.229	Singapore	AS54113
5	43.152.26.58	Singapore	AS139341ACE
11	2	-	-

Security Scan Report: determined-gold-vk6bfjwdn6-a1lveit6w0.edgeone.app

Summary

AI Security Verdict

Low Risk

Risk Factors

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History