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Security Scan Report: anaboye.pages.dev

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Submitted: Aug 5, 2026, 6:05:47 AMCompleted: Aug 5, 2026, 6:08:33 AMpubliccompleted
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Summary

This website contacted 16 IPs in 4 countries across 18 domains to perform 2 HTTP transactions. The main domain is anaboye.pages.dev and was registered NaN years ago.

Submitted URL: https://anaboye.pages.dev/posts/jk-irinjalakuda/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Page shows no credential collection but has unknown-age hosting subdomain and a malicious IP indicator, warranting moderate risk.

Risk Factors
Unranked domain
Unknown subdomain age
Hosting platform subdomain
Threat intel IP match
Safety Factors
Physical address displayed
No password, payment, or credential fields
No malicious JavaScript YARA matches
No credential exfiltration observed
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 4 to 3
Domain age information unavailable

Details

Page Title

Jk Irinjalakuda / Unajmite smjestaj vec od €17/noc. - Eyobana

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

Domain 'anaboye.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'anaboye'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://anaboye.pages.dev/posts/jk-irinjalakuda/

Page Load Overview

80.13s
Total Load Time
47
HTTP Requests
23
Domains
963 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:5,871 chars
Detector Agreement:40%

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
53%
healthcare medical
53%
entertainment media
51%
adult content
43%
documentation technical
36%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1792.113.23.237Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
2172.64.150.129Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
218.173.205.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
22.21.110.210Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
2184.24.77.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
22.21.110.212Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
4716--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117D2F9129BC8643F034307985B38A9FCD5235E66F6268BA5F40D28566700F76C92F6F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FJljD69syQXLl4noUPQVligk+S8fYfxHQy7HGYGkRASYS/t3h9tIYI9sPQ6c:FJtD69sHbl4oUA4gHS8fYfxHb7HGYGkI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29544:CQKClWAg6AIwCkBxMANlAQZ4cMGQKCB3hAKbeE5gECMDcGFJPU0hBgBhkRcnAOi0YAdADDElaVBAlCiBQNAEYBGAYmITwgIO

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:ffffcfc7c7c7c7c7
Perceptual Hash:b0cfcd30c61c31cf
Difference Hash:283c3e2f0f1f1e1e
Wavelet Hash:dfcf838783838383
Color Hash:#9740bf

Other Hashes

Crop Resistant:283c3e2f0f1f1e1e,abfbb888882619f8,2400242424242424

Scan History

Scan history not available

Unable to load historical scan data