Summary
API
Submitted URL: https://aucrumecygue.web.app/
AI Security Verdict
Moderate Risk
Confidence: 62%
This disposable address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.
Risk Factors (1)
Safety Factors (2)
Details
Page Title
Page Redirection
Scan Type
public
Domain Name Analysis
The domain name 'aucrumecygue.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aucrumecygue'. The core label 'web' covers 3 characters holding 1 vowel versus two consonants. Tokenizing the label suggests one word: web. 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 |
|---|---|---|---|
| 9 | 199.36.158.100Fastly · CDN | United States | AS54113Fastly, Inc. |
| 7 | 52.98.178.210Office365 · CLOUD | Frankfurt am Main, Hesse, Germany | AS8075Microsoft Corporation |
| 7 | 104.18.19.203Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 20.190.160.17Office365 · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 7 | 40.126.32.133Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 7 | 23.52.181.212Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 7 | 4.207.44.71Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 7 | 4.150.223.104Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 7 | 146.75.121.91Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 7 | 146.75.121.181Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 233 | 33 | - | - |
Detected Technologies10
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
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