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<html class="dark" lang="en">
<head>
<meta charset="utf-8"/>
<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
<title>SENTINELAI — Threat Analysis Engine</title>
<meta name="description" content="SentinelAI: AI-powered threat analysis engine for detecting digital arrest scams, phishing, and social engineering attacks."/>
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<style>
body {
background-color: #0D0F1A;
background-image: radial-gradient(circle at center, #0D0F1A 0%, #07080F 100%),
radial-gradient(rgba(255, 255, 255, 0.03) 1px, transparent 1px);
background-size: 100% 100%, 24px 24px;
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.dot-grid {
background-image: radial-gradient(rgba(255, 255, 255, 0.03) 1px, transparent 0);
background-size: 24px 24px;
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.glass-panel {
background: rgba(29, 31, 43, 0.8);
backdrop-filter: blur(12px);
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.glow-red {
box-shadow: 0 0 60px rgba(255, 82, 98, 0.12);
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.safe-glow {
box-shadow: 0 0 60px rgba(0, 231, 121, 0.08);
}
/* Smooth view transitions */
.view-transition {
transition: opacity 0.4s ease, transform 0.4s ease;
}
.view-hidden {
opacity: 0;
transform: translateY(12px);
pointer-events: none;
position: absolute;
top: 0; left: 0; right: 0;
}
.view-visible {
opacity: 1;
transform: translateY(0);
pointer-events: auto;
position: relative;
}
/* Processing pulse */
@keyframes pulse-ring {
0% { transform: scale(0.8); opacity: 0.6; }
50% { transform: scale(1.1); opacity: 0.2; }
100% { transform: scale(0.8); opacity: 0.6; }
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.pulse-ring {
animation: pulse-ring 2s ease-in-out infinite;
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/* Scanning line */
@keyframes scan-line {
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90% { opacity: 1; }
100% { top: 100%; opacity: 0; }
}
.scan-line {
animation: scan-line 2s ease-in-out infinite;
}
/* ── OCR Drop Zone ───────────────────────────────── */
#dropZone {
transition: border-color 0.25s ease, background-color 0.25s ease;
}
#dropZone.drag-over {
border-color: rgba(124, 111, 255, 0.5) !important;
background-color: rgba(124, 111, 255, 0.04);
}
/* ── Mode toggle pill transitions ────────────────── */
.mode-pill {
transition: background-color 0.2s ease, color 0.2s ease, border-color 0.2s ease;
}
/* ── OCR preview scrollbar ───────────────────────── */
#ocrPreviewText::-webkit-scrollbar { width: 3px; }
#ocrPreviewText::-webkit-scrollbar-track { background: transparent; }
#ocrPreviewText::-webkit-scrollbar-thumb { background: rgba(124,111,255,0.2); border-radius: 999px; }
</style>
</head>
<body class="font-body text-on-surface min-h-screen selection:bg-primary/30">
<!-- Background Layer -->
<div class="fixed inset-0 dot-grid pointer-events-none"></div>
<!-- ============================================================ -->
<!-- VIEW: IDLE STATE -->
<!-- ============================================================ -->
<div id="viewIdle" class="view-transition view-visible">
<main class="relative z-10 flex items-center justify-center min-h-screen p-6">
<div class="w-full max-w-[1100px] grid grid-cols-1 md:grid-cols-2 bg-surface-container-low/40 backdrop-blur-md rounded-xl overflow-hidden shadow-[0_20px_80px_rgba(0,0,0,0.45)] outline outline-1 outline-white/5">
<!-- Left Panel: Input -->
<section class="p-12 flex flex-col justify-between border-r border-outline-variant/10">
<div class="space-y-12">
<header>
<div class="flex items-baseline gap-2">
<h1 class="text-[22px] font-light tracking-[0.12em] text-white leading-none">SENTINEL<span class="text-[#7C6FFF] text-[11px] font-semibold tracking-normal align-top leading-none ml-1">AI</span></h1>
</div>
<p class="text-[9px] text-[#4E5A6E] tracking-[0.05em] font-mono mt-1 uppercase">THREAT ANALYSIS ENGINE</p>
</header>
<div class="space-y-4">
<!-- Label + Mode Toggle Row -->
<div class="flex items-center justify-between">
<label class="block text-[10px] text-[#4E5A6E] tracking-[0.15em] font-semibold uppercase">FORENSIC INPUT</label>
<!-- Mode Toggle Pills -->
<div class="flex items-center gap-0.5 p-0.5 bg-[#090C12] border border-white/5 rounded-lg">
<button
id="btnTextMode"
onclick="switchMode('text')"
class="mode-pill flex items-center gap-1.5 px-3 py-1.5 rounded-md
bg-[#7C6FFF]/15 text-[#7C6FFF] border border-[#7C6FFF]/20
text-[9px] font-mono tracking-widest uppercase font-semibold"
>
<span class="material-symbols-outlined text-[11px]">text_fields</span>
TEXT
</button>
<button
id="btnImageMode"
onclick="switchMode('image')"
class="mode-pill flex items-center gap-1.5 px-3 py-1.5 rounded-md
bg-transparent text-[#4E5A6E] border border-transparent
text-[9px] font-mono tracking-widest uppercase font-semibold
hover:text-[#7C6FFF]/60"
>
<span class="material-symbols-outlined text-[11px]">screenshot_monitor</span>
SCREENSHOT
</button>
</div>
</div>
<!-- ── TEXT ZONE ─────────────────────────────── -->
<div id="textZone" class="relative group">
<textarea id="messageInput"
class="w-full h-64 bg-[#090C12] border border-white/10 rounded-xl p-5 text-on-surface font-mono text-sm
focus:ring-1 focus:ring-primary/40 focus:border-primary/40 outline-none transition-all
placeholder:text-[#2E3A4E] resize-none"
placeholder="Paste any suspicious message, URL, or code snippet for immediate neural evaluation..."
></textarea>
<div class="absolute bottom-4 right-4 flex gap-2">
<span class="bg-surface-container text-[9px] font-mono px-2 py-1 rounded text-outline border border-outline-variant/20">UTF-8</span>
<span class="bg-surface-container text-[9px] font-mono px-2 py-1 rounded text-outline border border-outline-variant/20">RAW</span>
</div>
</div>
<!-- ── IMAGE ZONE ─────────────────────────────── -->
<div id="imageZone" class="space-y-3" style="display:none;">
<!-- Drop Zone — matches textarea dimensions and style -->
<div
id="dropZone"
class="relative w-full h-64 bg-[#090C12] border border-dashed border-white/10 rounded-xl
flex flex-col items-center justify-center gap-3 cursor-pointer overflow-hidden group"
onclick="document.getElementById('imgInput').click()"
ondragover="handleDragOver(event)"
ondragleave="handleDragLeave(event)"
ondrop="handleDrop(event)"
>
<!-- Idle placeholder -->
<div id="dropPlaceholder" class="flex flex-col items-center gap-3 pointer-events-none">
<span class="material-symbols-outlined text-[#2E3A4E] text-[42px] group-hover:text-[#7C6FFF]/30 transition-colors duration-300"
style="font-variation-settings:'FILL' 0,'wght' 200,'GRAD' 0,'opsz' 48;">screenshot_monitor</span>
<div class="text-center">
<p class="text-[11px] text-[#4E5A6E] tracking-[0.12em] font-semibold uppercase">Drop screenshot here</p>
<p class="text-[9px] text-[#2E3A4E] font-mono mt-1">or click to browse · PNG · JPG · WEBP · max 10 MB</p>
</div>
</div>
<!-- Image preview (hidden until file selected) -->
<img
id="imgPreview"
src="" alt="Screenshot preview"
class="hidden absolute inset-0 w-full h-full object-contain p-3"
/>
<!-- Overlay badge on top of preview -->
<div id="imgOverlay" class="hidden absolute bottom-0 inset-x-0 bg-gradient-to-t from-[#090C12]/90 to-transparent px-4 py-3 flex items-center gap-2">
<span class="material-symbols-outlined text-[#7C6FFF] text-[14px]">check_circle</span>
<p id="imgFilename" class="text-[9px] font-mono text-[#7C6FFF] truncate max-w-[200px]"></p>
<span class="text-[8px] text-[#4E5A6E] ml-auto">click to change</span>
</div>
<input type="file" id="imgInput" accept="image/*" class="hidden" onchange="handleFileSelect(event)"/>
</div>
<!-- OCR Extracted Text Preview — appears after analysis -->
<div id="ocrPreviewBox" class="hidden">
<div class="flex items-center gap-2 mb-1.5">
<span class="text-[8px] text-[#4E5A6E] tracking-[0.12em] font-mono uppercase">Extracted Text</span>
<div class="flex-1 h-[1px] bg-white/5"></div>
<span class="text-[8px] font-mono text-[#7C6FFF]/60">OCR OUTPUT</span>
</div>
<div
id="ocrPreviewText"
class="text-[10px] font-mono text-on-surface-variant bg-[#090C12] border border-white/5
rounded-lg p-3 max-h-16 overflow-y-auto whitespace-pre-wrap leading-relaxed"
></div>
</div>
</div>
<!-- ── END IMAGE ZONE ─────────────────────────── -->
<button id="analyzeBtn"
class="w-full py-4 px-6 bg-gradient-to-r from-[#7C6FFF] to-[#5B8DEF] text-on-primary
font-bold text-sm tracking-widest rounded-xl transition-all hover:scale-[1.01]
active:scale-95 shadow-[0_4px_20px_rgba(124,111,255,0.3)]">
RUN ANALYSIS
</button>
</div>
</div>
<footer class="mt-12">
<div class="flex items-center gap-2">
<span id="statusDot" class="w-2 h-2 rounded-full bg-secondary shadow-[0_0_10px_rgba(124,255,163,0.3)]"></span>
<p class="text-[10px] text-[#2E3A4E] font-mono tracking-tighter uppercase">Powered by DistilBERT · Hybrid Inference · v2.4.0-Stable</p>
</div>
</footer>
</section>
<!-- Right Panel: Atmospheric HUD -->
<section class="p-12 flex flex-col items-center justify-center relative overflow-hidden bg-surface-container-lowest/50">
<!-- Idle Reticle -->
<div id="hudIdle" class="relative w-80 h-80 flex items-center justify-center">
<div class="absolute inset-0 rounded-full border border-[#7C6FFF]/10"></div>
<div class="absolute inset-4 rounded-full border border-[#7C6FFF]/5"></div>
<div class="absolute inset-16 rounded-full border border-[#7C6FFF]/5"></div>
<!-- Tactical Notches -->
<div class="absolute inset-0 flex justify-center py-2"><div class="w-[1px] h-2 bg-[#7C6FFF]/20"></div></div>
<div class="absolute inset-0 flex justify-center items-end py-2"><div class="w-[1px] h-2 bg-[#7C6FFF]/20"></div></div>
<div class="absolute inset-0 flex items-center px-2"><div class="w-2 h-[1px] bg-[#7C6FFF]/20"></div></div>
<div class="absolute inset-0 flex items-center justify-end px-2"><div class="w-2 h-[1px] bg-[#7C6FFF]/20"></div></div>
<!-- Center Dot -->
<div class="w-1 h-1 rounded-full bg-[#7C6FFF]/40 shadow-[0_0_15px_rgba(124,111,255,0.4)]"></div>
<!-- HUD Text -->
<div id="hudStatusText" class="absolute bottom-8 left-1/2 -translate-x-1/2 flex flex-col items-center gap-2">
<span class="text-[10px] text-[#2E3A4E] tracking-[0.15em] font-semibold uppercase">AWAITING ANALYSIS</span>
<div class="flex gap-1">
<span class="w-1 h-1 bg-[#2E3A4E] rounded-full"></span>
<span class="w-1 h-1 bg-[#2E3A4E]/50 rounded-full"></span>
<span class="w-1 h-1 bg-[#2E3A4E]/20 rounded-full"></span>
</div>
</div>
<!-- Ghost Data Points -->
<div class="absolute top-10 right-10 flex flex-col items-end gap-1 opacity-20">
<span class="text-[8px] font-mono text-[#7C6FFF]">X: 42.190</span>
<span class="text-[8px] font-mono text-[#7C6FFF]">Y: 09.441</span>
</div>
<div class="absolute bottom-10 left-10 opacity-20">
<span id="scannerModeLabel" class="text-[8px] font-mono text-[#7C6FFF]">SCANNER_IDLE_MODE</span>
</div>
</div>
<!-- Ambient Glow Behind Reticle -->
<div class="absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-96 h-96 bg-primary/5 blur-[120px] rounded-full pointer-events-none"></div>
</section>
</div>
</main>
<!-- Side Decorations -->
<div class="fixed left-6 top-1/2 -translate-y-1/2 flex flex-col gap-8 opacity-40">
<div class="h-32 w-[1px] bg-gradient-to-b from-transparent via-outline-variant/30 to-transparent"></div>
<div class="flex flex-col gap-4">
<span class="text-[8px] font-mono -rotate-90 text-[#4E5A6E] uppercase">Security_Protocol_Active</span>
<span class="text-[8px] font-mono -rotate-90 text-[#4E5A6E] uppercase">Neural_Link_Stable</span>
</div>
</div>
<div class="fixed right-8 top-1/2 -translate-y-1/2 flex flex-col gap-12 text-right opacity-30">
<div class="space-y-1">
<p class="text-[9px] font-mono text-outline-variant uppercase">Latency</p>
<p id="metricLatency" class="text-xs font-mono text-on-surface-variant">12ms</p>
</div>
<div class="space-y-1">
<p class="text-[9px] font-mono text-outline-variant uppercase">Throughput</p>
<p class="text-xs font-mono text-on-surface-variant">4.2GB/s</p>
</div>
<div class="space-y-1">
<p class="text-[9px] font-mono text-outline-variant uppercase">Entropy</p>
<p id="metricEntropy" class="text-xs font-mono text-on-surface-variant">0.02</p>
</div>
</div>
</div>
<!-- ============================================================ -->
<!-- VIEW: RESULT STATE (High Risk / Safe - dynamically styled) -->
<!-- ============================================================ -->
<div id="viewResult" class="view-transition view-hidden">
<main class="max-w-[1100px] mx-auto pt-16 px-8 pb-20 relative z-10">
<!-- Dashboard Header -->
<div class="flex flex-col md:flex-row justify-between items-start md:items-end mb-12 gap-6">
<div>
<div class="flex items-center gap-3 mb-2">
<span id="resultIncidentBadge" class="font-mono text-[10px] tracking-widest uppercase px-2 py-0.5 border rounded">Incident #---</span>
<span class="w-1 h-1 bg-outline-variant rounded-full"></span>
<span class="font-mono text-[10px] tracking-widest text-on-surface-variant uppercase">CRITICAL PRIORITY</span>
</div>
<h1 class="text-4xl font-light tracking-tight text-white leading-tight">Analysis Result: <span id="resultHeadline" class="font-semibold"></span></h1>
</div>
<div class="flex gap-3">
<div class="px-3 py-1.5 bg-surface-container-low border border-outline-variant/10 rounded font-mono text-[9px] text-on-surface-variant uppercase tracking-widest">ENGINE: SENTINELAI v2</div>
<!-- Input Method Badge — updates dynamically -->
<div id="resultInputBadge" class="px-3 py-1.5 bg-surface-container-low border border-outline-variant/10 rounded font-mono text-[9px] text-on-surface-variant uppercase tracking-widest">HYBRID INFERENCE MODE</div>
</div>
</div>
<!-- Main Content -->
<div class="grid grid-cols-1 lg:grid-cols-12 gap-8 items-start">
<!-- Left Panel: Input Source (readonly) -->
<div class="lg:col-span-5 flex flex-col gap-6">
<div class="glass-panel p-1 rounded-xl border border-outline-variant/10 bg-surface-container-lowest overflow-hidden shadow-2xl">
<div class="px-4 py-3 bg-surface-container-low/50 flex items-center justify-between border-b border-outline-variant/5">
<span id="resultSourceLabel" class="font-mono text-[10px] uppercase tracking-tighter text-on-surface-variant">Source Content (SMS/Text)</span>
<span class="material-symbols-outlined text-[14px] text-on-surface-variant">content_paste</span>
</div>
<textarea id="resultMessageDisplay"
class="w-full bg-transparent border-none focus:ring-0 text-on-surface/90 font-mono text-sm leading-relaxed p-6 h-[400px] resize-none overflow-y-auto"
readonly></textarea>
</div>
<!-- Tactical Indicator Bar -->
<div id="resultRecommendation" class="flex flex-col gap-2 p-4 rounded-r-lg">
<div id="resultRecommendationLabel" class="text-[10px] font-bold tracking-widest uppercase">System Recommendation</div>
<div id="resultRecommendationText" class="text-xs text-on-surface-variant"></div>
</div>
</div>
<!-- Right Panel: Intelligence Output -->
<div class="lg:col-span-7 space-y-8">
<!-- Score & Core Stats -->
<div class="grid grid-cols-1 md:grid-cols-2 gap-6">
<!-- Score Circle Card -->
<div id="resultScoreCard" class="glass-panel p-8 rounded-2xl flex flex-col items-center justify-center relative overflow-hidden">
<div id="resultScoreGradient" class="absolute inset-0 pointer-events-none"></div>
<div class="relative w-[200px] h-[200px] flex items-center justify-center">
<svg class="w-full h-full transform -rotate-90">
<circle class="text-surface-container-highest" cx="100" cy="100" fill="transparent" r="90" stroke="currentColor" stroke-width="6"></circle>
<circle id="resultArc" cx="100" cy="100" fill="transparent" r="90" stroke="currentColor" stroke-linecap="round" stroke-width="10" stroke-dasharray="565.48" stroke-dashoffset="565.48"></circle>
</svg>
<div class="absolute inset-0 flex flex-col items-center justify-center">
<span id="resultScorePercent" class="text-5xl font-mono font-bold text-white tracking-tighter">--%</span>
<span id="resultScoreLabel" class="text-[10px] font-bold tracking-[0.3em] uppercase mt-1"></span>
</div>
</div>
</div>
<!-- Details Card -->
<div class="glass-panel p-8 rounded-2xl flex flex-col justify-between">
<div class="space-y-6">
<div class="group">
<div class="text-[10px] font-mono text-on-surface-variant tracking-widest uppercase mb-1">CLASSIFICATION</div>
<div id="resultClassification" class="text-2xl font-bold tracking-tight"></div>
</div>
<div class="group">
<div class="text-[10px] font-mono text-on-surface-variant tracking-widest uppercase mb-1">CONFIDENCE</div>
<div id="resultConfidence" class="text-2xl font-mono font-medium text-white"></div>
</div>
<div class="group">
<div class="text-[10px] font-mono text-on-surface-variant tracking-widest uppercase mb-1">ANALYSIS DEPTH</div>
<div id="resultAnalysisDepth" class="text-sm text-on-surface">Linguistic + Pattern Analysis</div>
</div>
</div>
</div>
</div>
<!-- Threat Indicators -->
<div class="glass-panel p-8 rounded-2xl">
<h3 id="resultIndicatorsTitle" class="font-mono text-[10px] uppercase tracking-widest text-on-surface-variant mb-6 flex items-center gap-2">
<span class="material-symbols-outlined text-xs">radar</span>
THREAT INDICATORS
</h3>
<div id="resultIndicatorsContainer" class="flex flex-wrap gap-4">
<!-- Dynamically populated -->
</div>
</div>
<!-- Action Buttons -->
<div class="flex flex-col sm:flex-row gap-4 pt-4">
<button id="downloadReportBtn"
class="flex-1 bg-surface-container-high hover:bg-surface-container-highest text-white font-semibold
py-4 px-6 rounded-xl flex items-center justify-center gap-3 border border-outline-variant/10
transition-all active:scale-[0.98]">
<span class="material-symbols-outlined">download</span>
DOWNLOAD INTELLIGENCE BRIEF
</button>
<button id="newAnalysisBtn"
class="flex-1 bg-surface-container-high hover:bg-surface-container-highest text-on-surface font-bold
py-4 px-6 rounded-xl flex items-center justify-center gap-3 border border-outline-variant/10
transition-all active:scale-[0.98]">
New Analysis
<span class="material-symbols-outlined">arrow_forward</span>
</button>
</div>
</div>
</div>
<!-- System Log Section -->
<div class="mt-16 pt-12 border-t border-outline-variant/10">
<div class="grid grid-cols-1 md:grid-cols-3 gap-12">
<div class="space-y-4">
<div class="font-mono text-[9px] uppercase tracking-widest text-on-surface-variant">Linguistic Markers</div>
<div id="resultLinguistic" class="text-xs text-on-surface-variant leading-relaxed"></div>
</div>
<div class="space-y-4">
<div class="font-mono text-[9px] uppercase tracking-widest text-on-surface-variant">Domain Intelligence</div>
<div id="resultDomain" class="text-xs text-on-surface-variant leading-relaxed"></div>
</div>
<div class="space-y-4">
<div class="font-mono text-[9px] uppercase tracking-widest text-on-surface-variant">AI Confidence Map</div>
<div class="flex items-center gap-2 h-4 w-full bg-surface-container rounded-full overflow-hidden">
<div id="resultConfBar1" class="h-full transition-all duration-700" style="width: 0%"></div>
<div id="resultConfBar2" class="h-full transition-all duration-700" style="width: 0%"></div>
</div>
<div class="flex justify-between font-mono text-[8px] text-on-surface-variant uppercase">
<span id="resultHeuristicLabel">Heuristic: --</span>
<span id="resultNeuralLabel">Neural: --</span>
</div>
</div>
</div>
</div>
</main>
<!-- Footer -->
<footer class="max-w-[1100px] mx-auto py-12 px-8 flex justify-between items-center opacity-40">
<div class="text-[12px] font-mono tracking-widest uppercase">System Status: Nominal</div>
<div class="text-[12px] font-mono tracking-widest uppercase">©2026 Sentinel Core Systems</div>
</footer>
</div>
<!-- ============================================================ -->
<!-- JAVASCRIPT: Backend Wiring & State Management -->
<!-- ============================================================ -->
<script>
(function() {
// ── State ─────────────────────────────────────────────────────────────
let lastAnalysisData = null;
let currentView = 'idle'; // 'idle' | 'result'
let currentMode = 'text'; // 'text' | 'image'
// ── DOM References ─────────────────────────────────────────────────────
const viewIdle = document.getElementById('viewIdle');
const viewResult = document.getElementById('viewResult');
const messageInput = document.getElementById('messageInput');
const analyzeBtn = document.getElementById('analyzeBtn');
const downloadReportBtn = document.getElementById('downloadReportBtn');
const newAnalysisBtn = document.getElementById('newAnalysisBtn');
const hudStatusText = document.getElementById('hudStatusText');
const scannerModeLabel = document.getElementById('scannerModeLabel');
// Mode toggle
const btnTextMode = document.getElementById('btnTextMode');
const btnImageMode = document.getElementById('btnImageMode');
const textZone = document.getElementById('textZone');
const imageZone = document.getElementById('imageZone');
const dropZone = document.getElementById('dropZone');
const dropPlaceholder = document.getElementById('dropPlaceholder');
const imgInput = document.getElementById('imgInput');
const imgPreview = document.getElementById('imgPreview');
const imgOverlay = document.getElementById('imgOverlay');
const imgFilename = document.getElementById('imgFilename');
const ocrPreviewBox = document.getElementById('ocrPreviewBox');
const ocrPreviewText = document.getElementById('ocrPreviewText');
// Result DOM
const resultIncidentBadge = document.getElementById('resultIncidentBadge');
const resultHeadline = document.getElementById('resultHeadline');
const resultInputBadge = document.getElementById('resultInputBadge');
const resultSourceLabel = document.getElementById('resultSourceLabel');
const resultMessageDisplay = document.getElementById('resultMessageDisplay');
const resultRecommendation = document.getElementById('resultRecommendation');
const resultRecommendationLabel = document.getElementById('resultRecommendationLabel');
const resultRecommendationText = document.getElementById('resultRecommendationText');
const resultScoreCard = document.getElementById('resultScoreCard');
const resultScoreGradient = document.getElementById('resultScoreGradient');
const resultArc = document.getElementById('resultArc');
const resultScorePercent = document.getElementById('resultScorePercent');
const resultScoreLabel = document.getElementById('resultScoreLabel');
const resultClassification = document.getElementById('resultClassification');
const resultConfidence = document.getElementById('resultConfidence');
const resultAnalysisDepth = document.getElementById('resultAnalysisDepth');
const resultIndicatorsTitle = document.getElementById('resultIndicatorsTitle');
const resultIndicatorsContainer = document.getElementById('resultIndicatorsContainer');
const resultLinguistic = document.getElementById('resultLinguistic');
const resultDomain = document.getElementById('resultDomain');
const resultConfBar1 = document.getElementById('resultConfBar1');
const resultConfBar2 = document.getElementById('resultConfBar2');
const resultHeuristicLabel = document.getElementById('resultHeuristicLabel');
const resultNeuralLabel = document.getElementById('resultNeuralLabel');
// ── Mode Switching ─────────────────────────────────────────────────────
window.switchMode = function(mode) {
currentMode = mode;
const isImage = mode === 'image';
textZone.style.display = isImage ? 'none' : 'block';
imageZone.style.display = isImage ? 'block' : 'none';
// Active pill: filled purple bg
const activeClasses = ['bg-[#7C6FFF]/15', 'text-[#7C6FFF]', 'border', 'border-[#7C6FFF]/20'];
const inactiveClasses = ['bg-transparent', 'text-[#4E5A6E]', 'border', 'border-transparent'];
if (isImage) {
// IMAGE active
btnImageMode.className = btnImageMode.className
.replace('bg-transparent', 'bg-[#7C6FFF]/15')
.replace('text-[#4E5A6E]', 'text-[#7C6FFF]')
.replace('border-transparent', 'border-[#7C6FFF]/20');
// TEXT inactive
btnTextMode.className = btnTextMode.className
.replace('bg-[#7C6FFF]/15', 'bg-transparent')
.replace('text-[#7C6FFF]', 'text-[#4E5A6E]')
.replace('border-[#7C6FFF]/20', 'border-transparent');
} else {
// TEXT active
btnTextMode.className = btnTextMode.className
.replace('bg-transparent', 'bg-[#7C6FFF]/15')
.replace('text-[#4E5A6E]', 'text-[#7C6FFF]')
.replace('border-transparent', 'border-[#7C6FFF]/20');
// IMAGE inactive
btnImageMode.className = btnImageMode.className
.replace('bg-[#7C6FFF]/15', 'bg-transparent')
.replace('text-[#7C6FFF]', 'text-[#4E5A6E]')
.replace('border-[#7C6FFF]/20', 'border-transparent');
}
// Reset OCR preview when switching back to text
if (!isImage) {
ocrPreviewBox.classList.add('hidden');
}
};
// ── Drag & Drop Handlers ───────────────────────────────────────────────
window.handleDragOver = function(e) {
e.preventDefault();
dropZone.classList.add('drag-over');
};
window.handleDragLeave = function(e) {
dropZone.classList.remove('drag-over');
};
window.handleDrop = function(e) {
e.preventDefault();
dropZone.classList.remove('drag-over');
const file = e.dataTransfer.files[0];
if (file && file.type.startsWith('image/')) {
// Manually set input files via DataTransfer (modern browsers)
try {
const dt = new DataTransfer();
dt.items.add(file);
imgInput.files = dt.files;
} catch (_) { /* Safari fallback – preview still works */ }
previewFile(file);
}
};
window.handleFileSelect = function(e) {
const file = e.target.files[0];
if (file) previewFile(file);
};
function previewFile(file) {
const reader = new FileReader();
reader.onload = function(e) {
imgPreview.src = e.target.result;
imgPreview.classList.remove('hidden');
dropPlaceholder.style.display = 'none';
imgFilename.textContent = file.name;
imgOverlay.classList.remove('hidden');
// Reset OCR preview on new image
ocrPreviewBox.classList.add('hidden');
ocrPreviewText.textContent = '';
};
reader.readAsDataURL(file);
}
// ── View Switching ─────────────────────────────────────────────────────
function showView(name) {
if (name === 'idle') {
viewResult.classList.remove('view-visible');
viewResult.classList.add('view-hidden');
setTimeout(() => {
viewIdle.classList.remove('view-hidden');
viewIdle.classList.add('view-visible');
}, 100);
} else {
viewIdle.classList.remove('view-visible');
viewIdle.classList.add('view-hidden');
setTimeout(() => {
viewResult.classList.remove('view-hidden');
viewResult.classList.add('view-visible');
window.scrollTo({ top: 0, behavior: 'smooth' });
}, 100);
}
currentView = name;
}
// ── Processing State ───────────────────────────────────────────────────
function setProcessingState(isProcessing, label) {
const btnLabel = label || (currentMode === 'image' ? 'READING SCREENSHOT...' : 'PROCESSING...');
if (isProcessing) {
analyzeBtn.disabled = true;
analyzeBtn.innerHTML = `
<span class="inline-block w-4 h-4 border-2 border-white/30 border-t-white rounded-full animate-spin mr-2"></span>
${btnLabel}
`;
analyzeBtn.classList.add('opacity-80', 'cursor-wait');
hudStatusText.innerHTML = `
<span class="text-[10px] text-[#7C6FFF] tracking-[0.15em] font-semibold uppercase">NEURAL PROCESSING</span>
<div class="flex gap-1.5 mt-1">
<span class="w-1.5 h-1.5 bg-[#7C6FFF] rounded-full animate-pulse"></span>
<span class="w-1.5 h-1.5 bg-[#7C6FFF]/60 rounded-full animate-pulse" style="animation-delay: 0.2s"></span>
<span class="w-1.5 h-1.5 bg-[#7C6FFF]/30 rounded-full animate-pulse" style="animation-delay: 0.4s"></span>
</div>
`;
scannerModeLabel.textContent = 'SCANNER_ACTIVE_MODE';
} else {
analyzeBtn.disabled = false;
analyzeBtn.innerHTML = 'RUN ANALYSIS';
analyzeBtn.classList.remove('opacity-80', 'cursor-wait');
hudStatusText.innerHTML = `
<span class="text-[10px] text-[#2E3A4E] tracking-[0.15em] font-semibold uppercase">AWAITING ANALYSIS</span>
<div class="flex gap-1">
<span class="w-1 h-1 bg-[#2E3A4E] rounded-full"></span>
<span class="w-1 h-1 bg-[#2E3A4E]/50 rounded-full"></span>
<span class="w-1 h-1 bg-[#2E3A4E]/20 rounded-full"></span>
</div>
`;
scannerModeLabel.textContent = 'SCANNER_IDLE_MODE';
}
}
// ── Generate Incident ID ───────────────────────────────────────────────
function generateIncidentId() {
const num = Math.floor(1000 + Math.random() * 9000);
const suffix = String.fromCharCode(65 + Math.floor(Math.random() * 26));
return `Incident #${num}-${suffix}`;
}
// ── SVG Arc Calculation ────────────────────────────────────────────────
function setArcPercentage(percent) {
const circumference = 2 * Math.PI * 90;
const offset = circumference - (percent / 100) * circumference;
resultArc.style.strokeDasharray = circumference;
resultArc.style.strokeDashoffset = circumference;
requestAnimationFrame(() => {
resultArc.style.transition = 'stroke-dashoffset 1.2s ease-out';
resultArc.style.strokeDashoffset = offset;
});
}
// ── Populate Result View ───────────────────────────────────────────────
function populateResult(data, originalMessage, inputMethod) {
const isScam = data.label === 'SCAM';
const scamProb = data.scam_probability;
const safeProb = data.safe_probability;
const riskLevel = data.risk_level;
const signals = data.signals || [];
const isOCR = (inputMethod === 'ocr');
const scamPercent = Math.round(scamProb * 100);
const safePercent = Math.round(safeProb * 100);
const confidence = Math.max(scamPercent, safePercent);
const accentColor = isScam ? '#ff5262' : '#00E87A';
const glowClass = isScam ? 'glow-red' : 'safe-glow';
// ─ Header ─
resultIncidentBadge.textContent = generateIncidentId();
resultIncidentBadge.style.color = accentColor;
resultIncidentBadge.style.borderColor = accentColor + '4D';
resultHeadline.textContent = isScam ? 'Threat Detected' : 'No Threat Detected';
resultHeadline.style.color = accentColor;
// ─ Input method badge ─
if (isOCR) {
resultInputBadge.textContent = 'OCR · SCREENSHOT INPUT';
resultInputBadge.style.color = '#7C6FFF';
resultInputBadge.style.borderColor = 'rgba(124,111,255,0.3)';
resultSourceLabel.textContent = 'Source Content (Screenshot — OCR Extracted)';
} else {
resultInputBadge.textContent = 'HYBRID INFERENCE MODE';
resultInputBadge.style.color = '';
resultInputBadge.style.borderColor = '';
resultSourceLabel.textContent = 'Source Content (SMS/Text)';
}
// ─ Message display ─
resultMessageDisplay.value = originalMessage;
// ─ Analysis Depth label ─
resultAnalysisDepth.textContent = isOCR
? 'OCR Extraction + Linguistic + Pattern'
: 'Linguistic + Pattern Analysis';
// ─ Recommendation ─
resultRecommendation.className = `flex flex-col gap-2 p-4 rounded-r-lg border-l-2`;
resultRecommendation.style.borderColor = accentColor;
resultRecommendation.style.background = isScam ? 'rgba(255,82,98,0.05)' : 'rgba(0,232,122,0.05)';
resultRecommendationLabel.style.color = accentColor;
if (isScam) {
resultRecommendationText.textContent = riskLevel === 'HIGH'
? 'Isolate communication channel immediately. High probability of credential harvesting or social engineering attack. Do NOT share any personal information.'
: 'Exercise caution. Several suspicious patterns detected. Verify through official channels before responding.';
} else {
resultRecommendationText.textContent = 'Content verified. No immediate risks identified. Message classification suggests legitimate communication.';
}
// ─ Score Circle ─
resultScoreCard.className = `glass-panel ${glowClass} p-8 rounded-2xl flex flex-col items-center justify-center relative overflow-hidden`;
resultScoreGradient.className = `absolute inset-0 bg-gradient-to-br ${isScam ? 'from-tertiary-container/5' : 'from-secondary-container/5'} to-transparent pointer-events-none`;
resultArc.classList.remove('text-tertiary-container', 'text-secondary');
resultArc.classList.add(isScam ? 'text-tertiary-container' : 'text-secondary');
resultScorePercent.textContent = scamPercent + '%';
resultScoreLabel.textContent = isScam ? (riskLevel === 'HIGH' ? 'HIGH RISK' : 'MEDIUM RISK') : 'SAFE';
resultScoreLabel.style.color = accentColor;
setArcPercentage(scamPercent);
// ─ Details ─
resultClassification.textContent = isScam ? 'SCAM DETECTED' : 'LEGITIMATE';
resultClassification.style.color = accentColor;
resultConfidence.textContent = confidence.toFixed(1) + '%';
// ─ Threat Indicators ─
resultIndicatorsContainer.innerHTML = '';
if (isScam && signals.length > 0) {
resultIndicatorsTitle.innerHTML = `<span class="material-symbols-outlined text-xs">radar</span> THREAT INDICATORS`;
const iconMap = {
'arrest or legal authority threat': 'security',
'urgency / time pressure': 'priority_high',
'payment demand with urgency': 'payments',
'phishing link / click-bait': 'link',
'account suspension threat': 'lock',
'prize / lottery scam': 'emoji_events',
'credential / remote access request': 'key',
'digital arrest pattern': 'gavel',
'isolation / secrecy demand': 'visibility_off',
'document / id fraud': 'badge',
};
signals.forEach(sig => {
const sigLower = sig.toLowerCase();
let icon = 'warning';
for (const [key, val] of Object.entries(iconMap)) {
if (sigLower.includes(key) || key.includes(sigLower.replace(/^\w/, ''))) {
icon = val; break;
}
}
const chip = document.createElement('div');
chip.className = 'px-5 py-3 rounded-lg border border-tertiary-container/20 bg-tertiary-container/[0.08] flex items-center gap-3 group hover:bg-tertiary-container/[0.12] transition-colors';
chip.innerHTML = `
<span class="material-symbols-outlined text-tertiary-container text-sm">${icon}</span>
<span class="font-mono text-xs font-bold text-tertiary-container/85 tracking-tighter uppercase">${sig}</span>
`;
resultIndicatorsContainer.appendChild(chip);
});
} else {
resultIndicatorsTitle.innerHTML = `<span class="material-symbols-outlined text-xs">check_circle</span> THREAT STATUS`;
const chip = document.createElement('div');
chip.className = 'px-5 py-3 rounded-lg border border-secondary/20 bg-secondary/[0.08] flex items-center gap-3 group hover:bg-secondary/[0.12] transition-colors';
chip.innerHTML = `
<span class="material-symbols-outlined text-secondary text-sm">verified</span>
<span class="font-mono text-xs font-bold text-secondary/85 tracking-tighter uppercase">NO THREATS DETECTED</span>
`;
resultIndicatorsContainer.appendChild(chip);
}
// ─ New Analysis button styling ─
newAnalysisBtn.className = isScam
? 'flex-1 bg-gradient-to-r from-tertiary-container to-[#FF4058] hover:opacity-90 text-on-tertiary font-bold py-4 px-6 rounded-xl flex items-center justify-center gap-3 shadow-lg shadow-tertiary-container/20 transition-all active:scale-[0.98]'
: 'flex-1 bg-surface-container-high hover:bg-surface-container-highest text-on-surface font-bold py-4 px-6 rounded-xl flex items-center justify-center gap-3 border border-outline-variant/10 transition-all active:scale-[0.98]';
// ─ System Log ─
if (isScam) {
resultLinguistic.innerHTML = `System detected artificial pressure nodes typical of social engineering campaigns. ${signals.length} risk indicator(s) flagged during analysis.${isOCR ? ' <span class="text-[#7C6FFF]/60">[Source: OCR]</span>' : ''}`;
resultDomain.innerHTML = `Content analysis flagged suspicious patterns. <span class="text-tertiary-container underline underline-offset-4 decoration-tertiary-container/30">High-risk indicators present</span>. Exercise extreme caution.`;
resultConfBar1.style.width = scamPercent + '%';
resultConfBar1.className = 'h-full bg-tertiary-container transition-all duration-700';
resultConfBar2.style.width = safePercent + '%';
resultConfBar2.className = 'h-full bg-surface-variant transition-all duration-700';
resultHeuristicLabel.textContent = riskLevel === 'HIGH' ? 'Heuristic: High' : 'Heuristic: Medium';
resultNeuralLabel.textContent = `Neural: ${scamPercent}.${Math.floor(Math.random()*9)}`;
} else {
resultLinguistic.innerHTML = `System identified <span class="text-white">Natural language patterns</span>. Absence of artificial pressure nodes or common phishing keywords. Sentiment is professional.${isOCR ? ' <span class="text-[#7C6FFF]/60">[Source: OCR]</span>' : ''}`;
resultDomain.innerHTML = `Content verified. <span class="text-secondary underline underline-offset-4 decoration-secondary/30">No suspicious patterns</span>. Metadata consistent with legitimate communication.`;
resultConfBar1.style.width = scamPercent + '%';
resultConfBar1.className = 'h-full bg-secondary transition-all duration-700';
resultConfBar2.style.width = safePercent + '%';
resultConfBar2.className = 'h-full bg-surface-variant transition-all duration-700';
resultHeuristicLabel.textContent = 'Low heuristic score';
resultNeuralLabel.textContent = `Neural: ${safePercent}.${Math.floor(Math.random()*9)}% Legit`;
}
}
// ── TEXT ANALYSIS ──────────────────────────────────────────────────────
async function runTextAnalysis() {
const text = messageInput.value.trim();
if (!text) {
messageInput.classList.add('border-tertiary-container/60');
messageInput.setAttribute('placeholder', '⚠ Please paste a message for analysis...');
setTimeout(() => {
messageInput.classList.remove('border-tertiary-container/60');
messageInput.setAttribute('placeholder', 'Paste any suspicious message, URL, or code snippet for immediate neural evaluation...');
}, 2000);
return;
}
setProcessingState(true);
try {
const response = await fetch('/analyze', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ message: text })
});
if (!response.ok) throw new Error('Server error: ' + response.status);
const data = await response.json();
lastAnalysisData = {
message: text,
risk_score: (data.scam_probability * 100).toFixed(1),
risk_level: data.risk_level || (data.label === 'SCAM' ? 'HIGH' : 'LOW'),
signals: data.signals || []
};
populateResult(data, text, 'text');
setProcessingState(false);
showView('result');
} catch (error) {
console.error('Analysis error:', error);
setProcessingState(false);
hudStatusText.innerHTML = `
<span class="text-[10px] text-tertiary-container tracking-[0.15em] font-semibold uppercase">ANALYSIS FAILED</span>
<div class="text-[8px] text-on-surface-variant mt-1">Check connection and retry</div>
`;
}
}
// ── OCR ANALYSIS ───────────────────────────────────────────────────────
async function runOCRAnalysis() {
const file = imgInput.files[0];
if (!file) {
// Flash the drop zone border
dropZone.style.borderColor = 'rgba(255,82,98,0.5)';
setTimeout(() => { dropZone.style.borderColor = ''; }, 1800);
return;
}
setProcessingState(true, 'READING SCREENSHOT...');
try {
const formData = new FormData();
formData.append('image', file);
const response = await fetch('/ocr_analyze', {
method: 'POST',
body: formData
});
const data = await response.json();
if (data.error) {
setProcessingState(false);
// Show error in the OCR preview area without disrupting layout
ocrPreviewText.textContent = '⚠ ' + data.error;
ocrPreviewBox.classList.remove('hidden');
return;
}
const extractedText = data.extracted_text;
// Show extracted text preview for user verification
ocrPreviewText.textContent = extractedText;
ocrPreviewBox.classList.remove('hidden');
// Also populate the text textarea (for reference if user switches mode)
messageInput.value = extractedText;
lastAnalysisData = {
message: extractedText,
risk_score: (data.scam_probability * 100).toFixed(1),
risk_level: data.risk_level || (data.label === 'SCAM' ? 'HIGH' : 'LOW'),
signals: data.signals || []
};
populateResult(data, extractedText, 'ocr');
setProcessingState(false);
showView('result');
} catch (err) {
console.error('OCR error:', err);
setProcessingState(false);
ocrPreviewText.textContent = '⚠ Network error. Make sure the server is running.';
ocrPreviewBox.classList.remove('hidden');
}
}
// ── ANALYZE BUTTON — branches on mode ─────────────────────────────────
analyzeBtn.addEventListener('click', function(e) {
e.preventDefault();
if (currentMode === 'image') {
runOCRAnalysis();
} else {
runTextAnalysis();
}
});
// ── DOWNLOAD REPORT ────────────────────────────────────────────────────
downloadReportBtn.addEventListener('click', async function() {
if (!lastAnalysisData) return;
const originalText = this.innerHTML;
this.innerHTML = `
<span class="inline-block w-4 h-4 border-2 border-white/30 border-t-white rounded-full animate-spin"></span>
GENERATING...
`;
this.disabled = true;
try {
const response = await fetch('/download_report', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(lastAnalysisData)
});
if (!response.ok) throw new Error('Server error: ' + response.status);
const blob = await response.blob();
const url = window.URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = 'SentinelAI_Report.pdf';
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
window.URL.revokeObjectURL(url);
this.innerHTML = `<span class="material-symbols-outlined">check_circle</span> DOWNLOADED`;
setTimeout(() => { this.innerHTML = originalText; }, 2500);
} catch (err) {
console.error('Download error:', err);
this.innerHTML = `<span class="material-symbols-outlined">error</span> FAILED — RETRY`;
setTimeout(() => { this.innerHTML = originalText; }, 3000);
} finally {
this.disabled = false;
}
});
// ── NEW ANALYSIS ───────────────────────────────────────────────────────
newAnalysisBtn.addEventListener('click', function() {
messageInput.value = '';
lastAnalysisData = null;
// Reset image zone
imgInput.value = '';
imgPreview.src = '';
imgPreview.classList.add('hidden');
imgOverlay.classList.add('hidden');
dropPlaceholder.style.display = '';
ocrPreviewBox.classList.add('hidden');
ocrPreviewText.textContent = '';
showView('idle');
});
// ── Keyboard shortcut: Ctrl+Enter ─────────────────────────────────────
messageInput.addEventListener('keydown', function(e) {
if ((e.ctrlKey || e.metaKey) && e.key === 'Enter') {
analyzeBtn.click();
}
});
})();
</script>
</body>
</html> |