Summary
API
Submitted URL: http://sp26ct10-zanvako-biz-rumeli.pages.dev/appeals/submit-appeal-form/return
AI Security Verdict
High Risk
Confidence: 65%
Page on a pages.dev subdomain presents itself as Meta/Facebook business appeal support but is not on an official Meta domain. No credential or payment form is present, so brand impersonation is likely but not confirmed phishing.
Risk Factors (4)
Details
Page Title
Meta for Business | Page Appeal
Scan Type
public
Domain Name Analysis
The domain 'sp26ct10-zanvako-biz-rumeli.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp26ct10-zanvako-biz-rumeli'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Another page of the site in scan 80fb10fe
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 |
|---|---|---|---|
| 3 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 104.26.1.100Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 3 | - | - |
Detected Technologies1
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