Security Scan Report: gem.app

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Submitted: Feb 17, 2026, 10:54:44 AMCompleted: Feb 17, 2026, 10:56:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is gem.app and was registered NaN years ago.

Submitted URL: https://gem.app

The Cisco Umbrella rank of the primary domain is #343,713 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns; currently inaccessible.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment forms
Meta tags do not claim major brand ownership
No redirects or external domains
Domain age information unavailable

Details

Page Title

gem.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'gem.app' uses the application-focused generic top-level domain (.app) and has no subdomain. The registrable portion 'gem' spans 3 characters with 1 vowel and two consonants. Word splitting yields 1 word: gem. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gem.app

Page Load Overview

10.23s
Total Load Time
33
HTTP Requests
6
Domains
655 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:7,250 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3313.35.58.3United States
331--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8OldS:2hoC9JSqzzbs6o3Sj3gcrsC2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184426:SE5ZkzIQGa2rC1RJAWSDoAAoJQEAwi1RpBACKAkBOAQEQiGIsAQo9qENJASCAiUEZ1eAQimheJCYoCRkIBJaBRmgEgLQBkEh

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#798cd2

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

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