Security Scan Report: yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfacebook-zynga.gn-math.dev

Redirected to:
https://yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfa...
Submitted: Completed: publiccompleted
This website contacted 33 IPs in 2 countries across 27 domains to perform 210 HTTP transactions. The main domain is gn-math.dev and was registered 1 year 1 month ago.

Submitted URL: http://yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfacebook-zynga.gn-math.dev/

Effective URL:
https://yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfa...
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%

2
Risk Score

The site shows no malicious indicators, has no credential collection, and its age and lack of forms suggest low risk.

Risk Factors (2)
Domain ranking is low (rank #518,265) and not in top 100 K
Domain name contains brand‑like substrings (facebook, zynga) without legitimate brand claim
Safety Factors (4)
No login, payment, or hidden password fields
No malicious network IDS alerts
JavaScript obfuscation score is low and typical of minified code
Domain age >180 days reduces suspicion
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Domain Name Analysis

The domain 'yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfacebook-zynga.gn-math.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfacebook-zynga'. The core label 'gn-math' covers 7 characters containing one vowel alongside five consonants; it also includes one hyphen. Word splitting yields 2 words: gn, math. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://yy0wutt0rpp0nlkk0igbawhm.dpanel.947654321032update.432juegosfacebook-zynga.gn-math.dev/

Page Load Overview

6.60s
Total Load Time
35.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:28,340 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
93%
technology software
77%
education learning
76%
documentation technical
29%
gambling betting
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18151.101.193.229United States
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AS40021Contabo Inc.
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AS16509Amazon.com, Inc.
6142.251.110.94United States
AS15169Google LLC
618.245.31.123United States
AS16509Amazon.com, Inc.
6188.114.97.3United States
AS13335Cloudflare, Inc.
6104.26.4.14United States
AS13335Cloudflare, Inc.
63.160.150.36United States
AS16509Amazon.com, Inc.
6172.66.148.140United States
AS13335Cloudflare, Inc.
21033--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BB44AB2B502147F5E2380D572749B7B30E19B2BDEC2124633FC97E967CBCE56A4A049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHgsVIGRn6mfg0JdIt9iM32nay4V1K8Z6ZXySH5yeUpaBGyYGBdid4JGWUeLThKR:mscoc3YPU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501635:NBAqqHeIptQrmEGaSNIMxpBgGTRSSEO8KAUGABIKciEBhDwiNeCAiGJyEtADQNxjEBKJBuJJImEoVBL/EGAp3zDhMJCGXywB

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:0000ffff30303508
Perceptual Hash:ce31394ed1f3cc03
Difference Hash:0044b29269656931
Wavelet Hash:0000ffffb4b4bd18
Color Hash:#7bd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data