Security Scan Report: ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Submitted: May 1, 2026, 7:31:49 PMCompleted: May 1, 2026, 7:33:39 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 28 domains to perform 203 HTTP transactions. The main domain is ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

The Cisco Umbrella rank of the primary domain is #518,265 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site shows moderate risk due to heavy redirects, low reputation, and obfuscated scripts, but lacks forms or malicious indicators.

Risk Factors
Excessive redirects
Low domain ranking
Highly obfuscated JavaScript with eval()
Brand substrings in subdomain (potential typosquatting)
Long, random-looking subdomain
Safety Factors
No login or payment forms
No credential exfiltration detected
No Indicators of Compromise matches
No JavaScript malware YARA patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(93%)

Domain Information

The domain name 'ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters with one vowel and five consonants, plus 1 hyphen. Tokenizing the label suggests two words: gn, math. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ojilgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

4.40s
Total Load Time
203
HTTP Requests
28
Domains
19.1 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:27,915 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media93% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
93%
technology software
78%
education learning
76%
documentation technical
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.20.47.80United States
AS13335Cloudflare, Inc.
6130.211.23.194United States
AS396982Google LLC
6142.251.13.148United States
AS15169Google LLC
6142.251.127.95United States
AS15169Google LLC
63.160.150.36United States
AS16509Amazon.com, Inc.
618.153.35.55Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
6108.138.4.226United States
AS16509Amazon.com, Inc.
618.245.31.9United States
AS16509Amazon.com, Inc.
6104.16.175.226United States
AS13335Cloudflare, Inc.
20333--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135B44AB2A502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGMu7fgfJdC89WN32njy4V1K8Z6ZXySH5yeUpaBGyYGQd737mAR2kv2dvXs:EskCAn1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501634:LoQgAM2SbwAsAIJCgALAnwDggQgHKQWEdwUChNAxBgKWhShKtYXAowJ0BCAQYxImNGQgFgJYKlcKQwiaIfIjWgAEFQAHAC+A

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:0000ffff00313118
Perceptual Hash:ce71052ef1c6b81b
Difference Hash:0044b292292b6971
Wavelet Hash:0000ffff9939bd18
Color Hash:#6c79e0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data