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Security Scan Report: erica-bel.pages.dev

Submitted: Dec 17, 2025, 12:33:27 PMCompleted: Dec 17, 2025, 12:35:18 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is erica-bel.pages.dev and was registered NaN years ago.

Submitted URL: https://erica-bel.pages.dev/it/apps/mac

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No suspicious content or forms
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain 'erica-bel.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'erica-bel'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Breaking it apart gives one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://erica-bel.pages.dev/it/apps/mac

Page Load Overview

30.13s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
56%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.201United States
AS13335CLOUDFLARENET
0172.66.44.55United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2fc9United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2c37United States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156C08C0EE9E7300FD82399B32D83A680C2758272D04C18700106B2EF70C3462C082B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgRO01RPqR1XbvxL4AqWOx1RPGbZClITULKqNqNqz:qzxUziR1XLx0AqWmebIlIgINqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c88502878dfd1a295164dfcf8ce6d165

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

Average Hash:00ffffffffffffff
Perceptual Hash:e666666666666632
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#931f1f

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data