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Security Scan Report: resoyek.pages.dev

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Submitted: Jul 27, 2026, 3:36:13 PMCompleted: Jul 27, 2026, 3:37:40 PMpubliccompleted
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Summary

This website contacted 13 IPs in 4 countries across 14 domains to perform 2 HTTP transactions. The main domain is resoyek.pages.dev and was registered NaN years ago.

Submitted URL: https://resoyek.pages.dev/posts/sanjay-name-dp/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Page shows a simple search form on an unranked hosting subdomain; no malicious activity detected, but unknown age warrants moderate caution.

Risk Factors
Unknown subdomain age
Unranked domain
Hosting on a generic PaaS subdomain
Safety Factors
No credential or payment forms
No malicious JavaScript or exfiltration behavior
No threat‑intel matches
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 5
Domain age information unavailable

Details

Page Title

Sanjay Name Dp / Kgf chapter2 teaser _yash_sanjay dutt_raveena tandon_srinidhi shetty_prashanth n. - Geysore

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(40%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'resoyek.pages.dev' is registered, featuring subdomain 'resoyek'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://resoyek.pages.dev/posts/sanjay-name-dp/

Page Load Overview

1.91s
Total Load Time
38
HTTP Requests
20
Domains
2.4 MB
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:5,686 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
40%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14198.204.228.67United States
AS33387Nocix, LLC
245.55.184.62Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.23.71Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2143.204.180.144Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
22.21.110.203Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
251.79.78.58Québec, Quebec, Canada
AS16276OVH SAS
3813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181C2FB12C9CC583713C307A8B736B5ACED57456AF602CBA9F44D24557780BE3893B9D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:2JlHLeYAf37O5nuXlpaymtsSmXINiEdCBa7buOsObGtbx7BYBA0rqYAEc:2JdiYA/llpaymtsSmipd6aPuViGF7BYW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28209:BIIa8AC1AXviyDSlLANggC0EMiKGWA5CTJBw4AIzGqYIRyCMUTRRn4BQkJA1DZBQEK0jzUIYgQgAdeCBWgf3xJBpWZgCoACL

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:ffdfc787c7c7c7ff
Perceptual Hash:b0cccf26cc30c3cf
Difference Hash:2c180e3e2e0e0ec2
Wavelet Hash:9f878383838383fb
Color Hash:#401f93

Other Hashes

Crop Resistant:2c180e3e2e0e0ec2,111efee482820000

Scan History

Scan history not available

Unable to load historical scan data