Security Scan Report: coltonikovalev.pages.dev

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Submitted: Dec 11, 2025, 9:43:31 PMCompleted: Dec 11, 2025, 9:43:57 PMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 16 domains to perform 40 HTTP transactions. The main domain is coltonikovalev.pages.dev and was registered NaN years ago.

Submitted URL: https://coltonikovalev.pages.dev/adfm-social-security-increase-for-2025-announced-date-dslau/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security threats detected.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

Social Security Increase For 2025 Announced Date - Colton I. Kovalev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

Domain Information

The domain name 'coltonikovalev.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'coltonikovalev'. Count 5 characters in 'pages' with 2 vowels and 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coltonikovalev.pages.dev/adfm-social-security-increase-for-2025-announced-date-dslau/

Page Load Overview

5.02s
Total Load Time
40
HTTP Requests
16
Domains
339 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-US
Text Length:3,603 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
44%
adult content
35%
healthcare medical
34%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28.47.69.0United States
AS13335CLOUDFLARENET
135.71.189.182United States
AS16509AMAZON-02
176.223.67.189United States
AS16509AMAZON-02
1172.66.44.235United States
AS13335CLOUDFLARENET
1216.58.210.131United States
AS15169GOOGLE
1104.19.154.92United States
AS13335CLOUDFLARENET
1142.251.38.86United States
AS15169GOOGLE
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1172.67.166.38United States
AS13335CLOUDFLARENET
135.212.32.241Washington, District of Columbia, United States
AS15169GOOGLE
4039--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191030A32A59D14377A4F53C9D5E1B30DD9AAB614CB028A6A73F8302CAB80DFA41F715D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dcLZdapz8wtv8STIZHIp/m20qYXC+I3B9+uwJA0Uwr:d+apfTIJgO2zYXC+I3BYuwJA0Uwr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40539:IA5FYFECjjWMWSIWiCgUqCUnA4YFimSKEopZBDA0ASTQCkOQFBIAREJAYWT5ClDkolkUNQvYDkAIC0ACBAhKSKIEaBBRKEBZ

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:ff0000ffffff8787
Perceptual Hash:be413ec1c9b4cd32
Difference Hash:22d1d52b03222f2f
Wavelet Hash:bf000001ffff8787
Color Hash:#87b6c5

Scan History

Scan history not available

Unable to load historical scan data