Security Scan Report: help.supercellsupport.com

Redirected to:
https://support.supercell.com/en/index.html
Site favicon
Submitted: Sep 23, 2026, 4:51:46 PMCompleted: Sep 23, 2026, 4:53:03 PMpubliccompleted

This website contacted 15 IPs in 1 country across 8 domains to perform 44 HTTP transactions. The main domain is support.supercell.com and was registered 22 years ago.

Submitted URL: https://help.supercellsupport.com

Effective URL:

https://support.supercell.com/en/index.html
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Supercell support portal. Redirect from an older domain ends on the brand's own official support site; no forms, no threat-intel, malware, or IDS hits.

Safety Factors (5)
Final destination is the brand owner's own official domain (support.supercell.com)
Zero credential, payment, or data-collecting forms on the page
No threat-intelligence, malware, or network-level alerts
Standard cookie consent and analytics infrastructure (OneTrust, Supercell CDN/analytics)
No cross-origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Supercell Support Portal

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'help.supercellsupport.com' is registered with subdomain 'help'. Count 16 characters in 'supercellsupport' containing five vowels alongside 11 consonants. Tokenizing the label suggests 2 words: supercell, support. Average segment length settles at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://help.supercellsupport.com

Page Load Overview

2.21s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,257 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
69%
blog personal website
49%
government public service
47%
documentation technical
47%
social media network
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16108.138.7.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.50Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.33.187.50Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2108.138.26.36Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.33.187.5Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2108.138.26.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.59Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.33.187.55Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4415--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE416363D2104C1B5F64F35168617148C692EA8EFB50DC47A8DA159F3CD9FD4C6BB431

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hcD9eZNQpARQgSfi02RFroCopgSfi0m7PRGXsmkvgSfi0v6ApG0GQfPDusoAOvPv:SD9DSRT02zsf40mDEB0SALfbuyOvPAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2030:AABkAEAEAAAAAAAIQAAAAEUAAAAAAIAQDEABJjAAAIAAAAgBAAAAEAASAQAACAgAADKBBsAABAAgwwCAAAAAAAAgEKAAAAAK

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:ffbd011c1839d785
Perceptual Hash:8fd3f4c117b0230f
Difference Hash:592b69696b6b256d
Wavelet Hash:ffbd011c18b99585
Color Hash:#9ad279

Scan History

Scan history not available

Unable to load historical scan data