Security Scan Report: rayusil.pages.dev

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Submitted: Aug 4, 2026, 6:59:58 PMCompleted: Aug 4, 2026, 7:01:27 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 18 domains to perform 2 HTTP transactions. The main domain is rayusil.pages.dev and was registered NaN years ago.

Submitted URL: https://rayusil.pages.dev/posts/colours-super-kannada-serial/

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site shows no malicious activity but its unknown subdomain age and unranked status warrant moderate caution.

Risk Factors
Unknown subdomain age
Unranked domain
Presence of a form (even though non‑credential)
Hosted on a generic developer platform
Safety Factors
No credential or payment fields
No malicious JavaScript or exfiltration behavior
No external links to known phishing or malware sites
No brand mismatch or impersonation
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Colours Super Kannada Serial - कलर्स) also known as aapka colors(in us), is a hindi language indian general entertainment channel based in mumbai, part of the viacom 18 family, which was launched on july 21, 2008. - Lisuvar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(83%)

Domain Information

The domain name 'rayusil.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'rayusil'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Splitting it apart reveals 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rayusil.pages.dev/posts/colours-super-kannada-serial/

Page Load Overview

3.27s
Total Load Time
43
HTTP Requests
23
Domains
692 KB
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:6,309 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
83%
forum community discussion
70%
adult content
53%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1574.115.51.8United States
AS27647Weebly, Inc.
274.125.29.95Google · CDNUnited States
AS15169Google LLC
2146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.119Google · CDNUnited States
AS15169Google LLC
223.111.84.220Netherlands
AS7979Servers.com, Inc.
2104.18.94.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
2172.64.147.39Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4D20B1397D8463B5B4213C85735F96CE507B61AE7128FEBF84E2C545B40BA2C92F8E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hJljimYYYtFlFxCknYni3XBoJ3J5Ph+Z3yFWOSwa7eXEwptNkc:hJNimYYYtFlFxCknYni3XBoJ3J5Ph+Z4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29735:BwAejN0EAFQLcAhGNAAQhg0AmaEywiADG+MpRGAgEMLhBjoCXSEMxRMflbksABxAHgMqQIBgAg8C/BihSQApVmC0rmhAIBcL

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:ffcfdfc7c7c7c7c7
Perceptual Hash:b0cfccc632cdcc32
Difference Hash:301c3e1e0d2e1e1f
Wavelet Hash:dfc7c38387838383
Color Hash:#9740bf

Scan History

Scan history not available

Unable to load historical scan data