Security Scan Report: xn--d1akihbanhj.com

Submitted: Mar 7, 2026, 3:50:28 PMCompleted: Mar 7, 2026, 3:52:03 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is xn--d1akihbanhj.com and was registered NaN years ago.

Submitted URL: https://xn--d1akihbanhj.com/houses.html

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

New domain impersonates Домострой brand; likely a scam site.

Risk Factors
Newly registered domain (<7 days) mimicking a known brand
Brand name in title on a non‑official, unranked domain
Unreachable page suggests the site is not serving legitimate content
Domain age information unavailable

Details

Page Title

домострой.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

The domain 'xn--d1akihbanhj.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'xn--d1akihbanhj' covers 15 characters split between 3 vowels and 9 consonants; bonus characters include 1 digit and two hyphens. Word splitting yields 7 words: xn, d, 1, a, kih, ban, hj. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--d1akihbanhj.com/houses.html

Page Load Overview

8.14s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
66%
adult content
60%
government public service
36%
phishing scam
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
287.236.16.28St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4048F77329A063986558498E05B830D9F21B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Oldj:UhoC9JSqzzbs6o3Sj3gcrsY2eAR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187208:OUgD4OxOaFm0TVi4EwjAAQgAIxAEPAAAgaEIwBOGQgBvGgALShxyBKEkSAE2BMKvAEBAKiKgBWLUBsSbDRBSKRuAeCVRAAsV

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc0c0003c3c3c
Color Hash:#c1d279

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data