Security Scan Report: dianebnovikov.pages.dev

Submitted: Dec 11, 2025, 7:38:40 PMCompleted: Dec 11, 2025, 7:39:09 PMpubliccompleted
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Summary

This website contacted 56 IPs in 2 countries across 13 domains to perform 33 HTTP transactions. The main domain is dianebnovikov.pages.dev and was registered NaN years ago.

Submitted URL: https://dianebnovikov.pages.dev/ncug-social-security-tax-cap-2025-srjna/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain with minimal risk
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Social Security Tax Cap 2025 - Elka Martguerita

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain 'dianebnovikov.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'dianebnovikov'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dianebnovikov.pages.dev/ncug-social-security-tax-cap-2025-srjna/

Page Load Overview

9.81s
Total Load Time
33
HTTP Requests
13
Domains
1.1 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-US
Text Length:5,308 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
81%
healthcare medical
76%
news media journalism
61%
adult content
59%
documentation technical
56%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33104.21.11.140United States
AS13335CLOUDFLARENET
0172.66.151.233United States
AS13335CLOUDFLARENET
0142.250.184.202United States
AS15169GOOGLE
0188.114.96.3United States
AS13335CLOUDFLARENET
0172.67.75.176United States
AS13335CLOUDFLARENET
0188.114.97.3United States
AS13335CLOUDFLARENET
0142.250.185.118United States
AS15169GOOGLE
0104.20.36.95United States
AS13335CLOUDFLARENET
0104.20.23.96United States
AS13335CLOUDFLARENET
0142.250.186.131United States
AS15169GOOGLE
3356--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C423F832919D183F261B53DCE1A4731DE4AF9E34CE0309A576FA58686BC4EF141B31AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LZdapFZZTIZdN/a0d6u0IgjmOFwuFgIa0kHlsLUsjqwxaf6zHt77ef1GOJa:7apxTIV/Ld6u0IkDgv0clsLUsjqwxafI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47827:UidYeozl2UECUCJxU4IBFhekwCgAKgACAABIckoAkFSPCYCAYkEwoAlACgBiQEBWVBP1iMZcAQRelnQY6fcSBCBEYq6FCix2

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:00ffc3dfff87c7c7
Perceptual Hash:becd731c44333c43
Difference Hash:3620033f363f0f0f
Wavelet Hash:00df819ff3878387
Color Hash:#231f93

Scan History

Scan history not available

Unable to load historical scan data