Security Scan Report: relationapp.jp

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Submitted: Feb 17, 2026, 2:05:30 AMCompleted: Feb 17, 2026, 2:07:04 AMpubliccompleted
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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 relationapp.jp.

Submitted URL: https://relationapp.jp

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Site appears legitimate but domain age is unknown and no content could be retrieved; no malicious indicators detected.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection forms
Site does not display phishing or malware indicators
Domain age information unavailable

Details

Page Title

relationapp.jp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain name 'relationapp.jp' uses the Japanese country-code top-level domain (.jp) without a subdomain. The second-level label 'relationapp' is 11 characters long split between five vowels and six consonants. Tokenizing the label suggests two words: relation, app. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://relationapp.jp

Page Load Overview

8.09s
Total Load Time
1
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
61%
adult content
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
157.181.205.162Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:efQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8OldC:NhoC9JSqzzbs6o3Sj3gcrsa2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184461:IBOQgWoCQDVVgwtsjIB0EWCkVlGZIjQCBC4NBNgEtkA4FGAUBBApDCIDAStptBqnC0bikCAgIECiFAcRBYFLoIY3GJgBaCJA

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#93421f

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data