Security Scan Report: gvqhcwww.www.www.wwwen.54.83.164.174.nip.io

Redirected to:
https://login.microsoftonline.com/97809f92-9ac4-4a49-a525-0e1771ac2962...
Submitted: Apr 3, 2026, 5:08:14 PMCompleted: Apr 3, 2026, 5:09:25 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 35 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://gvqhcwww.www.www.wwwen.54.83.164.174.nip.io/auth/oidc/azure

Effective URL: https://login.microsoftonline.com/97809f92-9ac4-4a49-a525-0e1771ac2962/oauth2/v2.0/authorize?access_type=offline&client_id=f6e058a0-27a4-44d1-920f-b3b2a4bbb9c0&code_challenge=Pz0SMUdcCO_zBKtlENOU8uBqwaFl76CtGGdprzfL3Pg&code_challenge_method=S256&redirect_uri=https%3A%2F%2Fvpn.cognitivespace.com%2Fauth%2Foidc%2Fazure%2Fcallback%2F&response_type=code&scope=openid+email+profile+offline_access&state=InvKDxnC7A9lHHdO&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #376,334 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

The site hosts a credential‑phishing login that posts to Microsoft, uses a low‑reputation nip.io domain and suspicious JavaScript – treat as confirmed scam.

Risk Factors
Cross‑origin credential form submission
Low domain reputation
Use of wildcard DNS service (nip.io) for hosting
Obfuscated‑like JavaScript patterns (many Function() calls)
Safety Factors
Established domain (8749 days old) with no strong malicious indicators — risk clamped from 9 to 5
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

The domain 'gvqhcwww.www.www.wwwen.54.83.164.174.nip.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'gvqhcwww.www.www.wwwen.54.83.164.174'. The second-level label 'nip' is 3 characters long split between 1 vowel and two consonants. It segments into one word: nip. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gvqhcwww.www.www.wwwen.54.83.164.174.nip.io/auth/oidc/azure

Page Load Overview

1.24s
Total Load Time
17
HTTP Requests
5
Domains
473 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:946 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software72% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
72%
government public service
49%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.207.210.137United States
AS14618Amazon.com, Inc.
213.107.246.44United States
AS8075Microsoft Corporation
220.190.159.71Dublin, Leinster, Ireland
AS8075Microsoft Corporation
213.89.179.9IrelandUnknown
220.190.160.128UnknownUnknown
254.83.164.174Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
176--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B834CDA7FA62937828A41B5B5796E026F3669038D4CCD60F19CC8882FFB74D8133657

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jI8GLG2GTgxEf8DreJIoIyEk77gx2xpTvPoMmCBSEiT0imQYC:M82xsJIJ32RAOPC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83405:A4RJDZOYQPQwwaBYAi2CkoSICAKQCwtqQoWhoQJtDqIAEgbDDppsFsOJAuIXYpQBIEIAAnCITIeInhgkMwHoIQKCgY1KhCUP

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:043a372727677f7f
Perceptual Hash:a759d93366cc6609
Difference Hash:a8d2e5cfcdcdc6e6
Wavelet Hash:0038332727273f7f
Color Hash:#53ac7b

Other Hashes

Crop Resistant:a8d2e5cfcdcdc6e6

Scan History

Scan history not available

Unable to load historical scan data