Security Scan Report: www.ana.avavaava.top

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Submitted: Dec 10, 2025, 8:40:13 AMCompleted: Dec 10, 2025, 8:42:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is ana.avavaava.top and was registered NaN years ago.

Submitted URL: https://www.ana.avavaava.top/jp/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site flagged for social engineering; likely phishing, avoid.

Risk Factors
Social engineering threat detected by Google Safe Browsing
Unranked domain indicating low reputation
Recent domain age (<1 year) increases suspicion
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

news media journalism

(61%)

Domain Information

You're looking at domain 'www.ana.avavaava.top' on the .top top-level domain and includes subdomain 'www.ana'. Count 8 characters in 'avavaava' containing 5 vowels alongside three consonants. Segmentation suggests 4 words: a, vav, a, ava. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ana.avavaava.top/jp/

Page Load Overview

2.60s
Total Load Time
8
HTTP Requests
1
Domains
575 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
HTML Lang Attribute:ja
Text Length:78 chars
Detector Agreement:100%
Language mismatch: Declared as ja but detected as en

Website Classification

Primary Category

news media journalism61% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
61%
adult content
60%
healthcare medical
52%
government public service
52%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.165.131.78Tokyo, Tokyo, Japan
AS132203Tencent Building, Kejizhongyi Avenue
81--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B012867D840181DF37243210DC1F4189396FB559209AC90B8DF61EA5AD0FC2C9D396D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:AKEW5y7W+1cuXihEyuKXz6bWqsv0VgqBYAlcJZdade/tzlgSAbj:A5W5CW+HXihruM6Y8VgsGzzGnbj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:750:AACAAAEAAAAAAACAgEAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAIABQAAAAABCAAACAAAAAgAAAAAAACAAAAAAAAAEEBAAAA

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:1efefefefefefefe
Perceptual Hash:d50f0e0f0e1f0e1f
Difference Hash:6000000000000000
Wavelet Hash:12f2f2f20e0e0e0e
Color Hash:#a1c587

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

Unable to load historical scan data