Security Scan Report: krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev

Redirected to:
https://krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zyn...
Submitted: May 7, 2026, 9:08:21 AMCompleted: May 7, 2026, 9:10:19 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 23 domains to perform 188 HTTP transactions. The main domain is krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev and was registered NaN years ago.

Submitted URL: http://krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Effective URL: https://krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/Redirected

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

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

The site shows strong indicators of malware distribution (critical IDS alerts) despite lacking forms; treat as high‑risk and avoid.

Risk Factors
Critical IDS alerts for malware and command‑and‑control activity
Low‑ranking, recently registered domain
Brand names present in subdomain suggesting possible typosquatting
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(89%)

Domain Information

The domain name 'krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga'. The second-level label 'gn-math' is 7 characters long containing 1 vowel alongside five consonants, plus 1 hyphen. Tokenizing the label suggests 2 words: gn, math. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://krqlgfihgfehgfedcblbvmg472update.65432admin.juegosfacebook-zynga.gn-math.dev/

Page Load Overview

4.60s
Total Load Time
188
HTTP Requests
23
Domains
19.2 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:28,181 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media89% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
89%
technology software
80%
education learning
72%
documentation technical
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23151.101.193.229United States
AS54113Fastly, Inc.
5188.114.97.3United States
AS13335Cloudflare, Inc.
5151.101.129.229United States
AS54113Fastly, Inc.
5143.204.173.87United States
AS16509Amazon.com, Inc.
518.245.31.92United States
AS16509Amazon.com, Inc.
53.160.150.117United States
AS16509Amazon.com, Inc.
5108.138.4.226United States
AS16509Amazon.com, Inc.
53.160.150.36United States
AS16509Amazon.com, Inc.
5140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
5142.251.14.149United States
AS15169Google LLC
18834--

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

1536:7HgsVIG8UfgtJdlc94k3Bnjy4V1K8Z6ZXySH5yeUpaBGyYGQd4JGWUeLTBKlHF12:Es6qpSjD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501631:dGSCiN6AdQBJgwLBQbLdUjsIRIENYYgFAATdgMALIAqQgiA+LAsEwBMigsADKSaySgCOCADJzMyIDhG8BXsu0gQBmqJ1uqM0

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:000000ff3031303c
Perceptual Hash:ce31132ed1b0cf3a
Difference Hash:2044b292656561e9
Wavelet Hash:0000feff34353d7c
Color Hash:#3a7877

Scan History

Scan history not available

Unable to load historical scan data