Security Scan Report: www.mw.159.195.59.55.nip.io

Submitted: Mar 15, 2026, 12:49:32 AMCompleted: Mar 15, 2026, 12:50:58 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 40 HTTP transactions. The main domain is mw.159.195.59.55.nip.io and was registered NaN years ago.

Submitted URL: https://www.mw.159.195.59.55.nip.io/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Site copies brand meta tags and mentions Discord but lacks credential collection; moderate risk due to brand impersonation.

Risk Factors
Brand impersonation: domain mismatch with IXL and Discord branding
JavaScript obfuscator usage detected by IDS
Safety Factors
Well‑established domain (>13 years old)
No credential or payment collection forms
No malicious Indicators of Compromise matches found
No credential exfiltration observed
No cross‑origin form submissions
Domain age information unavailable

Details

Page Title

VAPOR v4

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(98%)

Domain Information

You're looking at domain 'www.mw.159.195.59.55.nip.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'www.mw.159.195.59.55'. Its registrable label 'nip' stretches across 3 characters containing 1 vowel alongside two consonants. Word splitting yields one word: nip. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mw.159.195.59.55.nip.io/

Page Load Overview

0.78s
Total Load Time
2
HTTP Requests
1
Domains
9 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:39,954 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
98%
adult content
62%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.16.175.226Germany
0159.195.59.55Nuremberg, Bavaria, Germany
AS197540netcup GmbH
0142.250.186.42Germany
0142.251.141.72Germany
0172.240.108.84Germany
05.188.124.24Germany
0216.58.206.35Germany
27--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4431D2B79F12A660AD7505B21234A80DFB5850FBA111C80F9FE83643F1695E93E377B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IMUMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNMNM/:z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59837:mCDEk4igi6ygmsgA4LAAbQYQMlBQQFXwTAbqRAYBIDQLlQESF/loESIAQQQiwAhIEGyJguqYCKXBiBQ1YRdYATUBAYFsAdoI

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:000018181818071f
Perceptual Hash:8c6c337bcc4c7331
Difference Hash:330f33b333321c78
Wavelet Hash:998119191b1f1f3f
Color Hash:#862d6b

Other Hashes

Crop Resistant:330f33b333321c78

Scan History

Scan history not available

Unable to load historical scan data