Security Scan Report: asunoreh.pages.dev

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Submitted: Sep 17, 2026, 5:11:25 PMCompleted: Sep 17, 2026, 5:12:05 PMpubliccompleted

This website contacted 33 IPs in 3 countries across 20 domains to perform 46 HTTP transactions. The main domain is asunoreh.pages.dev and was registered 6 years ago.

Submitted URL: https://asunoreh.pages.dev/posts/jiya-thakur-dance-plus-telugu/

AI Security Verdict

Low Risk

Confidence: 65%

3
Risk Score

Low-quality entertainment/celebrity image blog on a free Cloudflare Pages subdomain. No forms capturing data, no impersonation, no Indicators of Compromise, YARA or phishing alerts — nothing concrete beyond unranked/unknown-age priors.

Risk Factors
Unranked domain not present in Cisco Umbrella top 1M (weak prior)
Unknown subdomain age on a shared hosting platform where anyone can publish (weak prior)
Safety Factors
No credential, password or payment form present (verified DOM form facts)
No Indicators of Compromise, no YARA malware, no known malicious kit
No cross-origin credential exfiltration or suspicious JavaScript behaviour detected
No brand impersonation — page uses its own 'Heronusa' branding
Suricata alerts are informational only (pages.dev DNS/TLS fingerprinting and obfuscator-count heuristics that fire on ordinary sites)
Domain age information unavailable

Details

Page Title

Jiya Thakur Dance Plus Telugu : Sanket gaonkar vs ayush dev dance battle dance india dance vs dance plus. - Heronusa

Scan Type

public

Domain Name Analysis

The domain name 'asunoreh.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'asunoreh'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Breaking it apart gives one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://asunoreh.pages.dev/posts/jiya-thakur-dance-plus-telugu/

Page Load Overview

2.14s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,544 chars
Detector Agreement:40%

Website Classification

Primary Category

entertainment media36% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
36%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.37.127Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.251.110.100Google · CDNUnited States
AS15169Google LLC
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1142.251.110.119Google · CDNUnited States
AS15169Google LLC
123.194.190.147Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4633--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C131663A1D40D83B152342E5313AF35DF8CB592AF311C890F4B948991ED2F81CE56085

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JAK41NBmXTNpCXz8mPVjEIwWr0m5FwUngQ:JT478iVPA1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1673:AMQAAAAACAIAAgAECAAAAAAAAAEAAgIgCAYAAAAAQAAAgABAAAEAgAFAABAgAAAAAAAYAAgAggCIAAAAAhAEAAQACAAAAIAA

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:ffffc7c787c7c7c7
Perceptual Hash:b0cdcfcf3630c186
Difference Hash:281c1e2f2f1e2f0f
Wavelet Hash:dfc7c38783838383
Color Hash:#c2d22d

Scan History

Scan history not available

Unable to load historical scan data