Security Scan Report: atuyilar.pages.dev

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Submitted: Sep 14, 2026, 11:20:57 AMCompleted: Sep 14, 2026, 11:21:35 AMpubliccompleted

This website contacted 28 IPs in 3 countries across 23 domains to perform 37 HTTP transactions. The main domain is atuyilar.pages.dev and was registered 14 years ago.

Submitted URL: https://atuyilar.pages.dev/posts/mankuthimmana-kagga-pdf-in-kannada/

AI Security Verdict

Low Risk

Confidence: 60%

3
Risk Score

Low-risk SEO content-farm blog on a Cloudflare Pages subdomain. No credential/payment forms, no brand impersonation, no malware. Threat-intel hits are generic abuse tags on third-party addresses, not this page.

Risk Factors
SEO-spam / content-farm structure with keyword-stuffed unrelated posts and no attribution or original content
Hosted on a free instant-publishing subdomain where the page could be minutes old despite the platform apex being old
Safety Factors
No credential, login, or payment form anywhere on the page (verified form facts: 0 password, 0 payment fields)
No brand impersonation — page self-brands as 'Waliyuta' matching its own content, no third-party brand claimed in title/meta/OG
No JavaScript malware (YARA), no known malicious kit, no credential exfiltration, no cross-origin form submissions
No Google Safe Browsing or content-malware indicator; threat-intel matches are generic outbound-abuse reputation on unrelated third-party addresses
Domain age information unavailable

Details

Page Title

Mankuthimmana Kagga Pdf In Kannada - He has also wrtitten umarana osage, a translation of poems of omar khayyam in kannada. - Waliyuta

Scan Type

public

Domain Name Analysis

Domain 'atuyilar.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'atuyilar'. The registrable portion 'pages' spans 5 characters holding two vowels versus 3 consonants. It segments into 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://atuyilar.pages.dev/posts/mankuthimmana-kagga-pdf-in-kannada/

Page Load Overview

2.13s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,077 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.251.110.97Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
174.115.51.8United States
AS27647Weebly, Inc.
1192.178.183.132Google · CDNUnited States
AS15169Google LLC
1192.178.170.95Google · CDNUnited States
AS15169Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
13.171.219.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1142.251.20.132Google · CDNUnited States
AS15169Google LLC
1146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3728--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF31742A0C01C437252343EA326AF71CF5CB5529F112D460F9AAD8AA6EE2EC2CD574C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JfhSRx1NBmRHQTNpCXz8mPVjEFzWr0m5FwUngQ:Jfax78hVq71uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1731:AAAABAAAIQAAAkAAAgAEAAAAAAAgAUAAAAAAAAAAEQCAACQQQQAAAgQAAQAgQIAIAGAQAAEAAAAAAAgIAAAAAASAAAQAAAAg

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:ffffffc7c7c7c787
Perceptual Hash:b0cd99ce3601cdcd
Difference Hash:381c3e2e2f2f1f0f
Wavelet Hash:dfc7cb8383838383
Color Hash:#81e06c

Scan History

Scan history not available

Unable to load historical scan data