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Security Scan Report: rotomlabs.net

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Submitted: Sep 12, 2026, 6:04:24 PMCompleted: Sep 12, 2026, 6:04:57 PMpubliccompleted

Summary

This website contacted 16 IPs in 1 country across 10 domains to perform 2 HTTP transactions. The main domain is rotomlabs.net and was registered 18 years ago.

Submitted URL: https://rotomlabs.net/pokemon-go/events/gible-community-day-classic-2026

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate fan site article about a Pokémon GO event. No forms, no impersonation, no IoC or malware signals. Safe to use.

Safety Factors
Established domain age (1534 days) and physical address/business entity mentioned
Self-branding matches domain; no brand impersonation detected
Zero forms, password fields, payment fields, or credential exfiltration
No threat-intel matches or JavaScript malware patterns
Domain age information unavailable

Details

Page Title

Community Day Classic: Gible | Pokémon GO | RotomLabs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(27%)

Domain Information

Domain 'rotomlabs.net' uses the network infrastructure generic top-level domain (.net). Its registrable label 'rotomlabs' stretches across 9 characters holding 3 vowels versus six consonants. Splitting it apart reveals three words: ro, tom, labs. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rotomlabs.net/pokemon-go/events/gible-community-day-classic-2026

Page Load Overview

3.28s
Total Load Time
135
HTTP Requests
10
Domains
1.6 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:66,276 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software27% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
27%
news/blog
20%
forum
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.21.18.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8192.178.183.154Google · CDNUnited States
AS15169Google LLC
8172.67.183.88Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.251.127.95Google · CDNUnited States
AS15169Google LLC
8104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.251.110.102Google · CDNUnited States
AS15169Google LLC
8142.251.20.94Google · CDNUnited States
AS15169Google LLC
8142.251.110.138Google · CDNUnited States
AS15169Google LLC
8162.159.134.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13516--

Page Statistics

135
Requests
10
Unique Domains
2.3 MB
Total Size

Detected Technologies4

WordPress
75%
Cloudflare Bot Management
55%
HTTP/3
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AD15263AE04DD0B1A32A48DE40BB29AD057582BCC746C54B5DD4FDC82B17F28BA7D72

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jR5LAXANAEAkA3AhAVAeAmZuWsrzk8U9VIm+:F5kwOrLQy21guWKzBOVp+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6689:glRAAQflIAoCAAZ2ABgUAAAIFJE0gYAImhggBggYVQaSUBEoSKoUGM0CAOAAkMIKJAFIQoQBiIDpCAIO4FEUBBAE4AS4oAII

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:00000007ffffffff
Perceptual Hash:a6266cd91b1b38dc
Difference Hash:cececdcd4d0c5d4d
Wavelet Hash:00000000ffffffff
Color Hash:#5c2d86

Other Hashes

Crop Resistant:cececdcd4d0c5d4d,31ceceeec665cd8c

Scan History

Scan history not available

Unable to load historical scan data