Security Scan Report: static.getglam.app

Submitted: Mar 22, 2026, 5:31:09 AMCompleted: Mar 22, 2026, 5:32:55 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is static.getglam.app and was registered NaN years ago.

Submitted URL: https://static.getglam.app

The Cisco Umbrella rank of the primary domain is #633,870 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

entertainment media

(42%)

Domain Information

The domain name 'static.getglam.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'static'. The core label 'getglam' covers 7 characters holding two vowels versus 5 consonants. Word splitting yields 2 words: get, glam. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://static.getglam.app

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:445 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media42% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
42%
documentation technical
27%
technology software
26%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.149.135United States
AS13335Cloudflare, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C514565DA9309B6517BC9E006FF676632EAD037D19A6125FB9C53D8CFCDC00BD21901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9bek1ncqugukVPANynN+V+N+bvFFNKNnertF:niFWN15AN427zbpczgumPANkN+V+NivD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2920:ACEIEYCEAAAABgAAEgEggIqABEgIAABwAgAAIAACCoEBBAIAAFKoARJAAAAEAABAATQCAAAAEAlAADIACQEAAAQAAQQCIAAR

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:003fffffffffffff
Perceptual Hash:8f0f0f0c1c3c7c7c
Difference Hash:f0c0000000000000
Wavelet Hash:001fffff00000000
Color Hash:#84bf40

Other Hashes

Crop Resistant:f0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data