Security Scan Report: arrival-confirmations.pages.dev

Redirected to: https://arrival-confirmations.pages.dev/

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Submitted: Jan 8, 2026, 1:21:20 PMCompleted: Jan 8, 2026, 1:22:50 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 15 HTTP transactions. The main domain is arrival-confirmations.pages.dev and was registered NaN years ago.

Submitted URL: http://arrival-confirmations.pages.dev/

Effective URL: https://arrival-confirmations.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age over 5 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Page content appears to be a simple RSVP confirmation
Domain age information unavailable

Details

Page Title

דוד & אבישג - אישור הגעה

Scan Type

public

Language

🇮🇱

HE

(80% confidence)

Category

adult content

(89%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'arrival-confirmations.pages.dev' is registered, featuring subdomain 'arrival-confirmations'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://arrival-confirmations.pages.dev/

Page Load Overview

7.29s
Total Load Time
15
HTTP Requests
3
Domains
377 KB
Total Size

Language Analysis

Primary Language

🇮🇱Hebrew
Code: he
Confidence:80%
Script:Hebrew
Direction:rtl

Detection Details

Language Code:he
Detection Confidence:80%
Script Type:Hebrew
HTML Lang Attribute:he
Text Length:299 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content89% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
89%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.38.67United States
AS15169GOOGLE
5216.58.209.202United States
AS15169GOOGLE
5172.66.47.152United States
AS13335CLOUDFLARENET
153--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12842439765F31410641395F92FEBAB492FB5C023900EDC64BF4C979C9FD69918AA338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MPAAVaGh+NyE/oH2JaNTm1EZ9zQRvmG86BfUyBW6IafkeIutG5q220IjyJ2D3fw9:yUeAD3fwEHFFf5+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12574:kMIhZSExQEAEAqIUEKjYhHxgqACIIrQQgAmScRA2IAoqUJsBtCImuoGzwCIQfxlIqgkufcMAakCEQ9pExpCACARlLQHQvQg9

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:61a797ffffffc307
Perceptual Hash:b6ca33c18c739c72
Difference Hash:cd0c28b0b2b20c2c
Wavelet Hash:2102867eff7fc206
Color Hash:#bf8040

Other Hashes

Crop Resistant:cd0c28b0b2b20c2c

Scan History

Scan history not available

Unable to load historical scan data