Security Scan Report: otori-inc.com

Redirected to:
blob:https://giftedhealth.com/6a79d25b-4b4b-4a2c-a064-3c7591eb2b93
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Submitted: Jun 4, 2026, 12:19:03 PMCompleted: Jun 4, 2026, 12:20:24 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 8 HTTP transactions. The main domain is and was registered NaN years ago.

Submitted URL: https://otori-inc.com/wmqdtkr/hzkiwrl/gbermtc/link.html

Effective URL: blob:https://giftedhealth.com/6a79d25b-4b4b-4a2c-a064-3c7591eb2b93Redirected

AI Security Verdict

Moderate Risk

Confidence: 95%

5
Risk Score

The site impersonates CapitalOne, uses hidden password fields and a blob URL on an unranked domain, confirming a credential phishing scam.

Risk Factors
Unranked domain claiming major financial brand
Blob URL scheme combined with credential fields
Compromised WordPress site indicators
Disguised password fields (type=text with password placeholder)
Unicode character mixing for evasion
Safety Factors
No Indicators of Compromise matches
No JavaScript malware YARA patterns detected
No network IDS alerts
Domain age >6 years (well‑established)
Established domain (2355 days old) with no strong malicious indicators — risk clamped from 10 to 5
Domain age information unavailable

Details

Page Title

Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(55%)

Domain Information

Within the commercial generic top-level domain (.com), 'otori-inc.com' is registered without a subdomain. The second-level label 'otori-inc' is 9 characters long holding four vowels versus four consonants, notching one hyphen. Splitting it apart reveals three words: o, tori, inc. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://otori-inc.com/wmqdtkr/hzkiwrl/gbermtc/link.html

Page Load Overview

2.08s
Total Load Time
8
HTTP Requests
6
Domains
67 KB
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:1,461 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking55% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
55%
government public service
40%
documentation technical
37%
corporate business
33%
adult content
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
350.116.92.34Phoenix, Arizona, United States
AS31898Oracle Corporation
1142.251.13.95United States
AS15169Google LLC
1151.101.129.155United States
AS54113Fastly, Inc.
123.36.162.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1133.167.101.137Osaka, Osaka, Japan
AS9371SAKURA Internet Inc.
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
86--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E436536619341BADCB3CAC857EB2A463E849887E0C9D12477AC9AD84F838D5D47D3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:s7FSF3FuWFzF+fs8utovnh8utovWX9KTHFrCt1WtjL/plyA7qvE6mw:GQl0WxMTvCvPFCt1WtjLRlyA7q86mw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59212:CYDX+QY4QAClhLIVAXxCQpKIHIKatDcBQgAoYQFIWAMi5A2YgDyIAEgDIBAoEIoAEEMBUQgCsBIErtMJUAIgCgFFCQJ6hKQx

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:7fa5bde7c3ffcfff
Perceptual Hash:b3cbcc27639c8931
Difference Hash:e968704c4d2a2c00
Wavelet Hash:7f373c2c0424df00
Color Hash:#5390ac

Other Hashes

Crop Resistant:e968704c4d2a2c00

Scan History

Scan history not available

Unable to load historical scan data