Security Scan Report: jiyankan.pages.dev

Redirected to:
https://jiyankan.pages.dev/
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Submitted: Sep 28, 2026, 3:22:27 PMCompleted: Sep 28, 2026, 3:23:21 PMpubliccompleted

This website contacted 12 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is jiyankan.pages.dev and was registered 18 years ago.

Submitted URL: http://jiyankan.pages.dev/

Effective URL:

https://jiyankan.pages.dev/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Scraped-content SEO spam blog on a free pages.dev subdomain with no phishing, forms, malware or reputation hits; annoying but not dangerous.

Risk Factors (2)
Auto-generated/scraped content farm with unrelated mixed-language posts and no original authorship
Unknown-age subdomain on a free hosting platform, not in Cisco Umbrella top 1M
Safety Factors (5)
No credential, payment or disguised password fields anywhere on the page
No Indicators of Compromise, YARA malware matches, or known-kit detections
Brand check passed — site uses its own name ('Kanjiyan'), no impersonation of another entity
Cross-origin traffic limited to Google Analytics (top-ranked) — normal analytics
No JavaScript behavioral signals of exfiltration or DevTools blocking
Domain age information unavailable

Details

Page Title

Kanjiyan

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'jiyankan.pages.dev' is registered with subdomain 'jiyankan'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://jiyankan.pages.dev/

Page Load Overview

1.19s
Total Load Time
417 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,115 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
38%
entertainment media
30%
documentation technical
29%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
146.166.179.123Netherlands
AS43350NForce Entertainment B.V.
1142.251.110.139Google · CDNUnited States
AS15169Google LLC
1216.239.32.36Google · CDNUnited States
AS15169Google LLC
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE82C7B6E6C81E36024703DF72047BC9F8FF5918E612899D55EE847C5B81F418B270BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:7Sr8lVHsuRNh5hPrkAwRCQrqEEImL3RUTVTr+1sDJBokD+E0S89CC7TI2eqvMFHu:lVMu2lf62xNJBo2Q/xUf1MUnc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17759:IPQSj5CzVkIA4EFDz8UAMgAxDEAhgRoJhaDQwAQgREQQ4AzUAVgEKhCIETEsANBIGYCBCwjBIUJwFQYRY60GFcCjph3PNUQA

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:dfc7c3c3c3c3c3c3
Perceptual Hash:b892968ec8cdcccd
Difference Hash:281c161a123e1636
Wavelet Hash:9f87c3c3c383c383
Color Hash:#57ac53

Other Hashes

Crop Resistant:281c161a123e1636

Scan History

Scan history not available

Unable to load historical scan data