Security Scan Report: reimagine-steam.vercel.app

Redirected to:
https://reimagine-steam.vercel.app/
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Submitted: Jul 24, 2026, 1:45:41 AMCompleted: Jul 24, 2026, 1:50:03 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is reimagine-steam.vercel.app and was registered NaN years ago.

Submitted URL: http://reimagine-steam.vercel.app/

Effective URL: https://reimagine-steam.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The page mimics Steam branding on an unknown‑age Vercel subdomain without collecting data; treat as moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on an unranked hosting‑platform subdomain
Unknown subdomain age
Potential typosquatting of a major brand (Steam)
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or network indicators
No IDS or Safe Browsing alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Welcome to Steam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(97%)

Domain Information

The domain name 'reimagine-steam.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'reimagine-steam'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://reimagine-steam.vercel.app/

Page Load Overview

4.93s
Total Load Time
143
HTTP Requests
8
Domains
202.9 MB
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:3,813 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
97%
technology software
85%
adult content
72%
news media journalism
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
232.16.10.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20216.198.79.195United States
AS16509Amazon.com, Inc.
202.16.206.29Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
20104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1437--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162B3771091F12567044348F5B6F19F4BAAD9E347DE3B8AA473BC46A26FCBCD19A43318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ThxZS2wmEobe9tDX0fU9YXhLqeJFgg9acQWXmMulsDuV0SV:ThxZzAsH0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110512:Ak+TEZD/BGhSYEAQJAMomEAKarA0QFQgwBUQ1RKImhYSpHCm0spicKNBcKJhCMUmOEgAJWKA6EWeJiIh5UhApciAIEgEUEDh

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:00bcfd7f3f1c0000
Perceptual Hash:9adb752d81417876
Difference Hash:1a6969f969716499
Wavelet Hash:00bcffffbf1d0000
Color Hash:#2dd259

Scan History

Scan history not available

Unable to load historical scan data