Security Scan Report: tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfaceboo...
Submitted: Completed: publiccompleted
This website contacted 32 IPs in 2 countries across 27 domains to perform 188 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfaceboo...
Redirected

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

The site shows no credential or payment collection, no brand impersonation, and only generic risk signals; classified as low risk.

Risk Factors (3)
High JavaScript obfuscation score
Multiple critical/high IDS alerts (informational only)
Low domain ranking (518,265) but no brand impersonation
Safety Factors (3)
No forms collecting credentials or payments
No brand impersonation detected
No malicious YARA or Safe‑Browsing hits
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

You're looking at domain 'tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga'. The registrable portion 'gn-math' spans 7 characters split between 1 vowel and five consonants; bonus characters include one hyphen. Word splitting yields two words: gn, math. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tsrqpojihgfihgbihgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

8.00s
Total Load Time
20.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:28,323 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
95%
technology software
88%
education learning
74%
documentation technical
40%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33140.82.121.6Frankfurt am Main, Hesse, Germany
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5154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.20.94United States
AS15169Google LLC
5142.251.14.156United States
AS15169Google LLC
5108.138.4.226United States
AS16509Amazon.com, Inc.
53.75.153.1Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5143.204.173.87United States
AS16509Amazon.com, Inc.
18832--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BB44AB2B502147F5E2380D572749B7B30E19B2FDEC2124633FC97E967CACE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7HgsVIGoefgiJdvZ9dR3Onjy4V1K8Z6ZXySH5yeUpaBGyYGQd4JGWUeLTbKlHF1g:EseTDU8I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:MlVyRMygEgQISCAgYLJ5ByCFgFFMwAA0FiWSwRQCEQIAiRoDFj0AgInzCnDkMU+CB6QJFoLABGSC5S2YQBEoIJBACeFF8wwB

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:0000ffff3c3c3018
Perceptual Hash:ce31394699e5cd16
Difference Hash:0044b29269656630
Wavelet Hash:0000ffffbc3fb018
Color Hash:#ac5365

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data