Security Scan Report: leryanut.pages.dev

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Submitted: Aug 3, 2026, 7:23:06 PMCompleted: Aug 3, 2026, 7:24:34 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 16 domains to perform 2 HTTP transactions. The main domain is leryanut.pages.dev and was registered NaN years ago.

Submitted URL: https://leryanut.pages.dev/post/sarakari-hiriya-prathamika-shale-kasaragod/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a low‑risk entertainment page with no phishing or malware signs.

Safety Factors
No credential or payment collection forms
No malicious indicators from IDS, Safe Browsing, or YARA
Self‑branding only (Doplery) matches domain
Standard search form posting to Google
Domain age information unavailable

Details

Page Title

Sarakari Hiriya Prathamika Shale Kasaragod : Godhi banna sadarana maikattu full movie | ananth nag, rakshith setty, sruthi harharan. - Doplery

Scan Type

public

Language

🇮🇩

ID

(27% confidence)

Category

entertainment media

(74%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'leryanut.pages.dev' is registered and includes subdomain 'leryanut'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Segmentation suggests one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://leryanut.pages.dev/post/sarakari-hiriya-prathamika-shale-kasaragod/

Page Load Overview

2.37s
Total Load Time
41
HTTP Requests
22
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:27%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:27%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:6,765 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

entertainment media74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
74%
forum community discussion
67%
social media network
67%
download file sharing
48%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11146.75.120.193Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
23.160.150.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.132Google · CDNUnited States
AS15169Google LLC
234.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.13.97Google · CDNUnited States
AS15169Google LLC
276.223.67.189Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
234.3.1.27Google · CDNUnited States
AS396982Google LLC
218.173.205.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4116--

Page Statistics

41
Requests
22
Unique Domains
1.5 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138D209918D900E2F122143C05729FB7DE952A885DA478E8FF51FB2643F42DD3CAA68F1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:JJlpXTJVmSwxbHhnlHYYYAGnoblFth+nheDGNiYiWRdzYzoDeYeAoJtfc:JJvXVw1xLhnlHYYYAGnoblFth+heDGNL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29954:AAGNpJyZwBwjgmgcQ4KwOAgChBgo8EWCgNYAA4paAAKGPCRjEYAacQggBITaABOYXDVPIQAGBYRCWAkRO0A5RwBQOJaEASFg

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:ffcfc787c7c7ffff
Perceptual Hash:b01acfc5663638c7
Difference Hash:381a3e2f1f1e1e12
Wavelet Hash:9f8f83838383c3cb
Color Hash:#48bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data