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Security Scan Report: robmalas.pages.dev

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Submitted: Sep 11, 2026, 2:55:12 PMCompleted: Sep 11, 2026, 2:56:45 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2681a2db-684f-470b-84ad-a59aeaeb8341Domain and IP registration (RDAP)/api/v1/rdap/2681a2db-684f-470b-84ad-a59aeaeb8341Certificate Transparency/api/v1/ct/robmalas.pages.devHow often this domain was scanned/api/v1/domain/stats/robmalas.pages.devScan history for this domain/api/v1/domain/history/robmalas.pages.dev?limit=15

This website contacted 37 IPs in 3 countries across 29 domains to perform 44 HTTP transactions. The main domain is robmalas.pages.dev and was registered 9 years ago.

Submitted URL: https://robmalas.pages.dev/posts/easy-drawings-of-flowers-and-birds/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page appears to be a low‑risk educational blog with no credential collection or malicious indicators.

Safety Factors
Self‑branding matches domain (Salambor)
Content consists of educational/artistic material without data collection
Domain age information unavailable

Details

Page Title

Easy Drawings Of Flowers And Birds - See more ideas about drawings, art drawings, drawing sketches. - Salambor

Scan Type

public

Domain Name Analysis

The domain name 'robmalas.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'robmalas'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://robmalas.pages.dev/posts/easy-drawings-of-flowers-and-birds/

Page Load Overview

4.28s
Total Load Time
7.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,839 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
58%
entertainment media
29%
blog personal website
26%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
815.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.11.88Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.68.101Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
192.113.23.65Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1104.26.15.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
134.54.247.27Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.13.119Google · CDNUnited States
AS15169Google LLC
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.21.39.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.97Google · CDNUnited States
AS15169Google LLC
4437--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19231953A5C04C83B2A1343F63139F70CF9C71A39B647D4A0F4AAC9A91DE1E81CD1348A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JP61NBmyTNpCXz8mPVjEgAWr0m5FwUngQ:JP678NVzw1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1678:IAAgiqAAAAAAAgADCAAIAgAJEQAAAQAAAAAAAAARCEAAAAAACABAAQgABBAgABEIBDARABAECAAAABRBAQAAAAQAChAAAAQB

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:dfc7fbe7c7c7c7c7
Perceptual Hash:b0cf1a38c3c7cdc4
Difference Hash:383c369e9e9e9e9c
Wavelet Hash:9e87d3c3c3838387
Color Hash:#d28b79

Other Hashes

Crop Resistant:383c369e9e9e9e9c

Scan History

Scan history not available

Unable to load historical scan data