Security Scan Report: escortsabahsarawak.pages.dev

Submitted: Jan 26, 2026, 8:40:40 PMCompleted: Jan 26, 2026, 8:42:12 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 189 HTTP transactions. The main domain is escortsabahsarawak.pages.dev and was registered NaN years ago.

Submitted URL: https://escortsabahsarawak.pages.dev/kinabatangan-escort

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Site shows no security threats; appears legitimate but hosts adult escort content.

Safety Factors
Served over HTTPS
No forms collecting sensitive data
Hosted on a reputable static site platform (pages.dev)
Domain age information unavailable

Details

Page Title

Outcall Escort Girls Kinabatangan Sabah

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(29%)

Domain Information

The domain name 'escortsabahsarawak.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'escortsabahsarawak'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://escortsabahsarawak.pages.dev/kinabatangan-escort

Page Load Overview

5.62s
Total Load Time
177
HTTP Requests
3
Domains
2.7 MB
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:2,733 chars
Detector Agreement:40%

Website Classification

Primary Category

travel tourism29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
89216.58.206.72United States
88172.66.44.65United States
AS13335Cloudflare, Inc.
1772--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17832E8226A40B0270A6212E83275771E7B8BD633EB234D9262FD5B5C0B43FCB4D71D5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:1K/iU/x/8cEi1z2BQoF4kF6JNgyScrS62S1BScTlWnIi/X6WQEzLk0MmwPnx/Iq:1K/pDXo4kEMdpESulWqW9kLHnx/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11743:QAA5A3EACOAVSmIikggalAJqEBA0UhA9oSE8GkAJQYAjOAlAMuVy3iVAIAEEzJJpTEZCwAICSaAAYAaEQRiCa4RJRiRRtCkF

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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