Security Scan Report: arrival-confirmations.pages.dev

Submitted: Jan 12, 2026, 9:33:01 AMCompleted: Jan 12, 2026, 9:36:07 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is arrival-confirmations.pages.dev and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No credential collection fields
No malicious Indicators of Compromise
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; it also runs on subdomain 'arrival-confirmations'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. It segments into 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

95.13s
Total Load Time
3
HTTP Requests
2
Domains
185 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
1142.250.186.138United States
1142.251.141.67United States
1172.66.44.104United States
AS13335CLOUDFLARENET
33--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E642429765F31410641395F92FEBAB492FB5C023900ADC64BF4C979C9FD69A18AA338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:wPAAVaGh+NyE/oH2JaNTm1EZ9zQRvmG86BfUyBW6IafkeIutG5q220IjyJ2D3fw9:uUeAD3fwEHFFf5+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12589:QUAoDC5ojE4CZoT0ASJWIhgWQtusQQARAMFKMSCAjgECXAgALiMhgDtNgB/VilJkF5icCQQkRMMASBhUUBiMxMwI+QLEDgQU

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:61a79fffffefc31f
Perceptual Hash:b4ca36e38c639d68
Difference Hash:8e2c28b0b29a0c30
Wavelet Hash:2102867eff7fc206
Color Hash:#d2a479

Other Hashes

Crop Resistant:8e2c28b0b29a0c30

Scan History

Scan history not available

Unable to load historical scan data