technology software

documentation technical

cryptocurrency blockchain

Chinese

Domain '989-7t9.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain '989-7t9'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

html/f7/b9/f7b9522f-5fd4-4d39-bc24-7418103d6360.html.gz

sha256=:AtVo0gPAGArzdgm89f9sCRnSIPkzqIyoluugVWoI+q0=:

02d568d203c0180af37609bcf5ff6c0919d220f933a88ca896eba0556a08faad

504f9359753114e594d95d1d3fb7a27c3af58210801e337844179b922caa5b7a

Abuse Team

CloudFlare, Inc.

pages.dev

Abuse

Admin

Cloudflare-NOC

Cloudflare, Inc.

CLOUDFLARENET


    // ========== 切換頁籤 ==========
    function switchTab(tab) {
        document.getElementById('tabGen').classList.toggle('active', tab==='generate');
        document.getElementById('tabConv').classList.toggle('active', tab==='convert');
        document.getElementById('panel-generate').classList.toggle('active', tab==='generate');
        document.getElementById('panel-convert').classList.toggle('active', tab==='convert');
    }

    // ========== 讀取 .txt 檔案 ==========
    function loadFile(e) {
        const file = e.target.files[0];
        if (!file) return;
        if (!file.name.endsWith('.txt')) {
            alert('請上傳 .txt 純文字檔（Word 請先另存成純文字）');
            return;
        }
        const reader = new FileReader();
        reader.onload = ev => document.getElementById('rawText').value = ev.target.result;
        reader.readAsText(file);
    }

    // ========== AI 生成 JSON ==========
    async function generateJSON() {
        const apiKey = document.getElementById('apiKey').value.trim();
        const endpoint = document.getElementById('apiEndpoint').value.trim();
        const topic = document.getElementById('topic').value.trim();
        const field = document.getElementById('field').value.trim();
        const extra = document.getElementById('extraNotes').value.trim();
        const rawText = document.getElementById('rawText').value.trim();
        const selectedChapters = Array.from(document.querySelectorAll('#chaptersCheckbox input:checked')).map(cb => cb.value);
        const statusEl = document.getElementById('generateStatus');
        statusEl.className = 'error'; statusEl.innerText = '';

        if (!apiKey) { statusEl.innerText = '請輸入 API Key'; return; }
        if (!topic) { statusEl.innerText = '請填寫論文主題'; return; }

        const generateBtn = document.getElementById('generateBtn');
        generateBtn.disabled = true;
        generateBtn.innerText = '生成中…';
        statusEl.innerText = '⏳ 正在與 AI 溝通，請稍候（約 30~60 秒）...';

        const prompt = `你是一位專業學術論文撰寫顧問。請根據以下資訊，補全一份論文的 JSON。

論文主題：${topic}
學術領域：${field}
補充說明：${extra}
現有不完整內容：
${rawText}

需要補寫的章節：${selectedChapters.join('、')}

輸出必須是合法 JSON，格式嚴格如下（請勿加上 markdown 標記）：
{
  "title": "完整論文題目",
  "abstract": "中文摘要內容",
  "chapters": [
    {
      "number": 1,
      "title": "緒論",
      "sections": [
        {"heading": "研究背景", "content": "...", "source": "original|ai-generated", "citations": []}
      ]
    }
  ],
  "references": [
    {"id": 1, "text": "作者 (年份). 標題. 出處.", "source": "ai-generated"}
  ]
}
規則：
- 保留原始內容中已有的章節，source 設為 "original"。
- 缺失章節由 AI 生成，source 設為 "ai-generated"。
- 參考文獻盡量使用真實文獻，格式為 APA。
- sections 的 heading 可自行擬定合理的子標題。
- 只輸出 JSON，不要其他解釋文字。`;

        try {
            const response = await fetch(endpoint, {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json',
                    'Authorization': `Bearer ${apiKey}`
                },
                body: JSON.stringify({
                    model: 'gpt-4o',
                    messages: [{ role: 'user', content: prompt }],
                    temperature: 0.7,
                    max_tokens: 4096
                })
            });

            if (!response.ok) {
                const errData = await response.json().catch(() => ({}));
                throw new Error(errData.error?.message || `HTTP ${response.status}`);
            }

            const data = await response.json();
            let content = data.choices[0].message.content;
            // 清理可能的 markdown 包裝
            content = content.replace(/```json|```/g, '').trim();
            const parsed = JSON.parse(content);
            document.getElementById('generatedJson').value = JSON.stringify(parsed, null, 2);
            statusEl.className = 'success';
            statusEl.innerText = '✅ JSON 生成成功！請切換到「JSON → Word」頁籤下載。';
        } catch (err) {
            console.error(err);
            if (err.message.includes('Failed to fetch')) {
                statusEl.innerText = '❌ 網路請求失敗。若您不是從 https:// 網址開啟本頁，請改用下方說明的部署方式。';
            } else {
                statusEl.innerText = '❌ 錯誤：' + err.message;
            }
        } finally {
            generateBtn.disabled = false;
            generateBtn.innerText = '✨ 開始 AI 分析與補寫';
        }
    }

    function copyJson() {
        const json = document.getElementById('generatedJson').value;
        navigator.clipboard.writeText(json).then(() => alert('JSON 已複製'));
    }

    // ========== JSON → Word（使用 docx 庫） ==========
    async function generateWord() {
        const jsonStr = document.getElementById('jsonInput').value.trim();
        const statusEl = document.getElementById('wordStatus');
        statusEl.className = 'error'; statusEl.innerText = '';
        if (!jsonStr) { statusEl.innerText = '請貼上 JSON'; return; }
        let paper;
        try { paper = JSON.parse(jsonStr); }
        catch (e) { statusEl.innerText = 'JSON 格式錯誤：' + e.message; return; }

        const { Document, Packer, Paragraph, TextRun, HeadingLevel, AlignmentType, ShadingType } = docx;
        const children = [];

        children.push(new Paragraph({
            alignment: AlignmentType.CENTER,
            children: [new TextRun({ text: paper.title || "論文題目", bold: true, size: 36 })],
            spacing: { after: 200 }
        }));

        if (paper.abstract) {
            children.push(new Paragraph({ text: "摘要", heading: HeadingLevel.HEADING_1 }));
            children.push(new Paragraph({ text: paper.abstract, spacing: { after: 120 } }));
        }

        if (paper.chapters) {
            paper.chapters.forEach(ch => {
                children.push(new Paragraph({ text: `第${ch.number}章 ${ch.title}`, heading: HeadingLevel.HEADING_1 }));
                ch.sections?.forEach(sec => {
                    children.push(new Paragraph({ text: sec.heading, heading: HeadingLevel.HEADING_2 }));
                    const isAI = sec.source === 'ai-generated';
                    children.push(new Paragraph({
                        children: [new TextRun({
                            text: sec.content,
                            size: 24,
                            shading: isAI ? { type: ShadingType.SOLID, color: "E6F0FA" } : undefined
                        })],
                        spacing: { after: 120 }
                    }));
                });
            });
        }

        if (paper.references?.length) {
            children.push(new Paragraph({ text: "參考文獻", heading: HeadingLevel.HEADING_1 }));
            paper.references.forEach(ref => children.push(new Paragraph({ text: ref.text, spacing: { after: 80 } })));
        }

        const doc = new Document({
            sections: [{
                properties: { page: { margin: { top: 720, bottom: 720, left: 900, right: 720 } } },
                children
            }]
        });

        const blob = await Packer.toBlob(doc);
        const url = URL.createObjectURL(blob);
        const a = document.createElement('a');
        a.href = url;
        a.download = '完整論文.docx';
        a.click();
        URL.revokeObjectURL(url);
        statusEl.className = 'success';
        statusEl.innerText = '✅ Word 下載成功！';
    }


Requests	IP Address	Location	AS Autonomous System
2	104.18.1.22	United States	AS13335Cloudflare, Inc.
1	172.66.46.246	United States	AS13335Cloudflare, Inc.
3	2	-	-

Security Scan Report: 989-7t9.pages.dev

Summary

AI Security Verdict

Moderate 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

Detected Technologies4

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