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Security Scan Report: mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165.nip.io

Submitted: Mar 29, 2026, 7:50:29 PMCompleted: Mar 29, 2026, 7:52:09 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 1 HTTP transaction. The main domain is mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165.nip.io and was registered NaN years ago.

Submitted URL: https://mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165.nip.io/c.html

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain age
Absence of login or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Use of reputable third‑party services only
Domain age information unavailable

Details

Page Title

Education IXL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(44%)

Domain Information

The domain name 'mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165.nip.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165'. The second-level label 'nip' is 3 characters long with one 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://mupmghgfedcfeupdate.update.654update.8765432beta.wwwas.51-81-35-165.nip.io/c.html

Page Load Overview

2.38s
Total Load Time
19
HTTP Requests
7
Domains
343 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:343 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
44%
education learning
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.16.175.226United States
AS15169
3142.251.141.74United States
AS54113
351.81.35.165United States
AS16276OVH SAS
3142.251.208.3United States
AS13335
3104.18.0.22United StatesUnknown
3192.178.183.97United StatesUnknown
196--

Detected Technologies6

Node.js
50%
Ubuntu
40%
HTTP/3
40%
Express
40%
Google Analytics
35%
Unpkg
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C13E936F111223E9497B6BA39EBF30CB3756101B2406560B8AD40B443DDEA556BEFDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Npi90TpJyWC4rh/8If+MhPZr10zz/QzYqkt8eZs2Ao4hQy7LDMcDreHFNWQM:Ng90TfyW9Hf+MhPZr1Wz4zYqkt8eZshD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44002:BNoQfgMEA6CCzYZA0hoAxEwQCSAsmMoKjkLuHGgN8WgAADwhBo0AVAMyDwSAY0cDJgFcQkM1jAigKX4GSAZEDZtJg4AhAKiY

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:988000081c00003e
Perceptual Hash:997dfe7999290409
Difference Hash:30088498908480b4
Wavelet Hash:98ff007f1c7b003e
Color Hash:#6ce075

Other Hashes

Crop Resistant:30088498908480b4

Scan History

Scan history not available

Unable to load historical scan data