Security Scan Report: onqlonmlkfedcbadcgditcupdate.6update.65432admin.juegosfacebook-zynga.gn-math.dev

Submitted: May 2, 2026, 10:10:24 PMCompleted: May 2, 2026, 10:12:12 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 29 domains to perform 206 HTTP transactions. The main domain is onqlonmlkfedcbadcgditcupdate.6update.65432admin.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: https://onqlonmlkfedcbadcgditcupdate.6update.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

Low Risk

Confidence: 78%

3
Risk Score

Site shows low risk overall; lack of malicious activity but many redirects and low ranking suggest caution.

Risk Factors
Excessive number of redirects (18)
Low reputation ranking (518,265)
Brand names (facebook, zynga) appear in subdomain without clear claim
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(92%)

Domain Information

The domain name 'onqlonmlkfedcbadcgditcupdate.6update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'onqlonmlkfedcbadcgditcupdate.6update.65432admin.juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters with one vowel and 5 consonants; bonus characters include 1 hyphen. Segmentation suggests 2 words: gn, math. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onqlonmlkfedcbadcgditcupdate.6update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

5.07s
Total Load Time
206
HTTP Requests
29
Domains
14.9 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:27,914 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media92% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
92%
technology software
77%
education learning
75%
documentation technical
33%
gambling betting
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14108.138.4.226United States
AS16509Amazon.com, Inc.
618.153.35.55Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6142.251.13.157United States
AS15169Google LLC
63.123.115.96Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6172.66.148.140United States
AS13335Cloudflare, Inc.
6172.66.171.133United States
AS13335Cloudflare, Inc.
6146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6104.20.20.189United States
AS13335Cloudflare, Inc.
6142.250.154.94United States
AS15169Google LLC
63.160.150.36United States
AS16509Amazon.com, Inc.
20633--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGXffgJJdB59oC32njy4V1K8Z6ZXySH5yeUpaBGyYGQd737mAr2kv2dsplJ:EsAZrKeM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501632:EQ0kjZdBeoWIITCgD0AsFzwzoCooAAGcFUYhAsPMRI6o5FgAM2hCgMaqDgg4KXQYA8bJCnBCoiCoDgoqgXIOAUNgYAuAHCx4

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:0000ffff30313510
Perceptual Hash:ce31394eb1c6b90e
Difference Hash:6044b29269656161
Wavelet Hash:0000ffff3d31bd18
Color Hash:#6c79e0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data