Security Scan Report: livonstay.com

Redirected to: https://livonstay.com/wp-login.php?redirect_to=https%3A%2F%2Flivonstay.com%2Fwp-admin%2F&reauth=1

Submitted: Oct 18, 2025, 1:28:45 AMCompleted: Oct 18, 2025, 1:30:03 AMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 4 domains to perform 14 HTTP transactions. The main domain is livonstay.com and was registered NaN years ago.

Submitted URL: https://livonstay.com/wp-admin/

Effective URL: https://livonstay.com/wp-login.php?redirect_to=https%3A%2F%2Flivonstay.com%2Fwp-admin%2F&reauth=1Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New, unranked WordPress login page – high‑risk phishing site; do not trust.

Risk Factors
Newly registered domain (<7 days) – high likelihood of phishing
Compromised WordPress URLs (wp-admin, wp-login) – strong indicator of a hacked site used for credential harvesting
Login/verification page on an unranked, brand‑new domain
Potential collection of reCAPTCHA tokens for automated abuse
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Bot Verification

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

unknown

(0%)

Domain Information

The domain 'livonstay.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'livonstay' spans 9 characters split between 3 vowels and 6 consonants. Segmentation suggests three words: liv, on, stay. Median word length comes out to three characters. 'liv' most strongly signals Estonian. Secondary signals appear in Finnish and Chinese (Pinyin). Net impression: Estonian phrase.

Screenshot

Security scan screenshot of https://livonstay.com/wp-admin/

Page Load Overview

10.19s
Total Load Time
14
HTTP Requests
4
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.227United States
AS15169GOOGLE
1177.73.233.52Brazil
AS53038WDI SOLUCOES EM TEC INFORMACAO LTDA
1142.250.185.195United States
AS15169GOOGLE
1142.250.185.163United States
AS15169GOOGLE
1142.250.186.67United States
AS15169GOOGLE
12a00:1450:4001:828::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.185.67United States
AS15169GOOGLE
1142.250.186.99United States
AS15169GOOGLE
12a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1410--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162A1A57109B20424DC1383A0A2F1B74A69637347F9C6C9A478EDA650EFCDDF6C4937A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:vrlklWJQe6UmpK7AxGJIi+KguEPOynZT6SnE+:OlWJf6UmpK7kGJIKCI+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4976:wBkJIBQVBDiFiANhYgBAAGhgAAoBFAQxAICAQGKQAQEAgKAIbAIAChIBjRbBEiGhEbACYogABIAwCkggDghgKBFCAkAEgAjA

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:ffe7e7e7ffffffff
Perceptual Hash:b333cccccc993323
Difference Hash:000c0c0c00000000
Wavelet Hash:3f0303030f0f0f0f
Color Hash:#83e06c

Other Hashes

Crop Resistant:000c0c0c00000000

Scan History

Scan history not available

Unable to load historical scan data