Summary
API
Submitted URL: https://eoknglwe.an.r.appspot.com/
AI Security Verdict
Low Risk
Confidence: 58%
Page is a broken Cloudflare Workers error page with no content, forms or scripts of concern. Only a single-source, unverified phishing report against a third-party domain (qr.codes) is present; nothing on the page itself is malicious.
Risk Factors (3)
Safety Factors (5)
Details
Page Title
Worker threw exception | 33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev | Cloudflare
Scan Type
public
Domain Name Analysis
The domain 'eoknglwe.an.r.appspot.com' uses the commercial generic top-level domain (.com) with subdomain 'eoknglwe.an.r'. Its registrable label 'appspot' stretches across 7 characters containing 2 vowels alongside 5 consonants. Splitting it apart reveals two words: app, spot. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.13.153Google · CDN | United States | AS15169Google LLC |
| 1 | 104.20.41.165Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 16.15.162.127Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 1 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 1 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 1 | 192.178.183.153Google · CDN | United States | AS15169Google LLC |
| 1 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 16.15.230.10Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 1 | 142.251.127.95Google · CDN | United States | AS15169Google LLC |
| 20 | 11 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data