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Security Scan Report: zyxupdate.update.iupdate.ahgfedcbaupdate.987654update.8765432beta.wwwas.51-81-35-165.nip.io

Submitted: Apr 21, 2026, 11:57:49 AMCompleted: Apr 21, 2026, 11:59:26 AMpubliccompleted

Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 11 HTTP transactions. The main domain is zyxupdate.update.iupdate.ahgfedcbaupdate.987654update.8765432beta.wwwas.51-81-35-165.nip.io and was registered 14 years ago.

Submitted URL: https://zyxupdate.update.iupdate.ahgfedcbaupdate.987654update.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

Low Risk

Confidence: 85%

2
Risk Score

The site shows low risk: old domain, no malicious activity, but low ranking and brand name usage suggest caution.

Risk Factors
Low Cisco Umbrella ranking (376,334) for a site claiming a well‑known brand
Use of a wildcard DNS service (nip.io) which can be abused for phishing
Safety Factors
No malicious IoC matches
No forms or credential collection
No JavaScript malware or credential exfiltration
Old domain age reduces suspicion
Domain age information unavailable

Details

Page Title

Education IXL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(44%)

Domain Information

You're looking at domain 'zyxupdate.update.iupdate.ahgfedcbaupdate.987654update.8765432beta.wwwas.51-81-35-165.nip.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'zyxupdate.update.iupdate.ahgfedcbaupdate.987654update.8765432beta.wwwas.51-81-35-165'. The registrable portion 'nip' spans 3 characters containing 1 vowel alongside two consonants. It segments into one word: nip. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

1.47s
Total Load Time
19
HTTP Requests
7
Domains
346 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:344 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
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
451.81.35.165United States
AS16276OVH SAS
3142.251.13.97United States
AS15169Google LLC
3104.18.1.22United States
AS13335Cloudflare, Inc.
3142.251.20.94United States
AS15169Google LLC
3142.250.186.42United States
AS15169Google LLC
3104.16.174.226United States
AS13335Cloudflare, Inc.
196--

Page Statistics

19
Requests
7
Unique Domains
464.7 KB
Total Size

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:#ce79d2

Other Hashes

Crop Resistant:30088498908480b4

Scan History

Scan history not available

Unable to load historical scan data