Security Scan Report: yogisandyoginis.com

Submitted: Apr 27, 2026, 8:22:56 PMCompleted: Apr 27, 2026, 8:24:05 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 11 HTTP transactions. The main domain is yogisandyoginis.com and was registered NaN years ago.

Submitted URL: https://yogisandyoginis.com/wp-includes/sitemaps/providers/proton.html#[email protected]

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

The site is a high‑risk credential phishing page using a compromised WordPress installation and brand impersonation.

Risk Factors
Compromised WordPress site used for credential collection
Brand impersonation on an unranked domain
Login form with password and email fields
Email address embedded in URL fragment
Anti‑analysis JavaScript (devtools/right‑click blocking)
Safety Factors
Domain age >10 years (well‑established)
No Indicators of Compromise matched in threat intelligence
No JavaScript malware YARA patterns detected
No network IDS alerts
No external malicious domains referenced
Established domain (3680 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Webmail Portal Access

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(30%)

Domain Information

The domain name 'yogisandyoginis.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'yogisandyoginis' spans 15 characters containing six vowels alongside nine consonants. It segments into four words: yogis, and, yogin, is. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yogisandyoginis.com/wp-includes/sitemaps/providers/proton.html#rer@yao.se

Page Load Overview

1.16s
Total Load Time
11
HTTP Requests
9
Domains
98 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:210 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam30% confidence
Type: webapp
Method: ml+structural

All Detected Categories

phishing scam
30%
documentation technical
28%
government public service
26%
adult content
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3198.204.251.75United States
AS33387Nocix, LLC
1142.251.110.95United States
AS15169Google LLC
1151.101.2.137United States
AS54113Fastly, Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1104.18.40.68United States
AS13335Cloudflare, Inc.
1192.124.249.10Menifee, California, United States
AS30148Sucuri
1142.250.154.95United States
AS15169Google LLC
1142.251.156.119United States
AS15169Google LLC
123.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
119--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE61A7236450153B262586E0B5B8AF0730C3DD23E9461418E6F9DADFABD6DC2D14239F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:n8N3s/6BNG5zPq795tjfcqpMbIQwfNsWUYtnX:AG6vQId7VbJX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3315:GhAAGACAADQAoUACQEADSmBAQEAAGAQgRoABIAQBRAQAAEAgEAEBIIAgWABAACgBKABAAgBAQDAABBgAIAFhIEBgBAKABIDA

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:3fffffe7e7e7ffff
Perceptual Hash:a70d8d27278d8d27
Difference Hash:c0002c0c4d0c0800
Wavelet Hash:3ce4f0e0e0e0f0f0
Color Hash:#87c5bb

Other Hashes

Crop Resistant:c0002c0c4d0c0800

Scan History

Scan history not available

Unable to load historical scan data