Security Scan Report: uknea.pages.dev

Submitted: Apr 3, 2026, 6:24:41 PMCompleted: Apr 3, 2026, 6:25:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is uknea.pages.dev and was registered NaN years ago.

Submitted URL: https://uknea.pages.dev/articles/how_to_work_safely_as_an_escort_153.html

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page appears to be a legitimate informational site with no malicious activity.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low‑obfuscation JavaScript with no exfiltration
Informational content with clear purpose
Domain age information unavailable

Details

Page Title

UKNEA UK National Escorts Association

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(37%)

Domain Information

You're looking at domain 'uknea.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'uknea'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uknea.pages.dev/articles/how_to_work_safely_as_an_escort_153.html

Page Load Overview

0.52s
Total Load Time
16
HTTP Requests
1
Domains
611 KB
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-GB
Text Length:6,001 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
37%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.66.47.170United States
AS13335Cloudflare, Inc.
161--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDE3E9D4F28834D2A337E09BA7A7731E7276F669E0444C50F05E989C6EE0A4941A7F7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1Fl+28lpGxcq0hrLZwpsYbmzORDU8Cuq7jqGmu:p+28//HBLZjYqORDU8Cuymu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:154069:MakaGgUFAEKjFEAdkGdBIaKCjFRAQfWnBsEAghqgqADVQVByiRZhgFAhsWRmqRlMiMSiGA4MhEISMDBKBgAEVGkEeiBDgksA

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:bebaba8e9f7eff00
Perceptual Hash:9cb54b9712974a8d
Difference Hash:7422263c3cd0e0f1
Wavelet Hash:3e1a1a0e0f7f7f00
Color Hash:#4b3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data