Security Scan Report: imposter-app.com

Submitted: Apr 3, 2026, 12:33:06 AMCompleted: Apr 3, 2026, 12:34:16 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is imposter-app.com and was registered NaN years ago.

Submitted URL: https://imposter-app.com

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears legitimate, offering a party word game; no phishing, malware, or credential harvesting detected.

Safety Factors
No forms collecting sensitive data
No JavaScript malware detected
No redirects or URL manipulation
Domain is not listed in Cisco Umbrella top 1M but lacks other phishing indicators
Domain age information unavailable

Details

Page Title

Find the Imposter - Party Word Game

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(55%)

Domain Information

Within the commercial generic top-level domain (.com), 'imposter-app.com' is registered with no subdomain. Count 12 characters in 'imposter-app' split between four vowels and seven consonants, plus one hyphen. Word splitting yields two words: imposter, app. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://imposter-app.com

Page Load Overview

0.57s
Total Load Time
14
HTTP Requests
3
Domains
323 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:474 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media55% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
55%
adult content
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.217.16.170United States
AS15169Google LLC
435.157.26.135Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4142.251.127.94United States
AS15169Google LLC
143--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170720AF3B041201B5533CAC0B556FEAA9986F60BC3884A70B5FD459A0FD7DB2F562278

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WeuKLvbUjMMdLF8SbUjMMdLFUNbUjMMdL0oYY:bM/MgMv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16880:JAoRGjIBARIBSg5h9RFIAOBmWgoSCUgmLXFACECIVTTCklB4GBbgHgLQBksQwOOBgcmIwlZABQkYwQxEFQIlAhgc0ugCoCjA

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:2600003d3c1018e7
Perceptual Hash:9c3636c4ce8476b6
Difference Hash:c43e1c707132320c
Wavelet Hash:2703033f3d1898ff
Color Hash:#3a7870

Other Hashes

Crop Resistant:c43e1c707132320c

Scan History

Scan history not available

Unable to load historical scan data