Security Scan Report: gefile.github.io

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Submitted: Jan 8, 2026, 3:23:29 PMCompleted: Jan 8, 2026, 3:25:04 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 13 domains to perform 22 HTTP transactions. The main domain is gefile.github.io and was registered NaN years ago.

Submitted URL: https://gefile.github.io

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Page impersonates Google on a low‑ranking domain, posing a high phishing risk.

Risk Factors
Brand impersonation of Google on a non‑official, low‑ranking domain
Low Cisco Umbrella ranking for a domain displaying a major brand
Domain age information unavailable

Details

Page Title

Popular Gaming 2024

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(39%)

Domain Information

Domain 'gefile.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'gefile'. The second-level label 'github' is 6 characters long holding 2 vowels versus four consonants. Splitting it apart reveals 3 words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gefile.github.io

Page Load Overview

27.37s
Total Load Time
22
HTTP Requests
13
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:3,120 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
39%
entertainment media
34%
documentation technical
33%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.199.111.153United States
AS54113FASTLY
1146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1151.101.194.137United States
AS54113FASTLY
1142.250.185.214United States
AS15169GOOGLE
1104.18.10.207United States
AS13335CLOUDFLARENET
1142.250.185.106United States
AS15169GOOGLE
1172.66.169.116United States
AS13335CLOUDFLARENET
1172.66.147.148United States
AS13335CLOUDFLARENET
1142.251.141.65United States
AS15169GOOGLE
123.58.109.127Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13492C57354E2183B456B82E6AA76B728F2E2805FD5039A50F2FE428D4FC6DD1B4D390D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YYPK0HTPFVKYiqSJsfHMldP2lLLewPeEeXeRYey3e4ejm4e+eY8X:Q0zP2YDSsHMgLewPeEeXeKey3e4ePe+2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19765:YBCfQAohGrBCQUAQsgSHJiKC0CwOixOaMjDABigARkhANQClYABG0QAwNfHgBVQKYyiFwThFWMA0boA0QgRAgJCEIAQJBE1C

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:c3c3f3c3e3dbdbdb
Perceptual Hash:ad33993166cac9c6
Difference Hash:1e1e262f2f333333
Wavelet Hash:c383d381839b9b9b
Color Hash:#2dd282

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data