Security Scan Report: nicolefobandom.pages.dev

Submitted: Nov 22, 2025, 1:11:52 PMCompleted: Nov 22, 2025, 1:12:38 PMpubliccompleted
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Summary

This website contacted 57 IPs in 5 countries across 19 domains to perform 41 HTTP transactions. The main domain is nicolefobandom.pages.dev.

Submitted URL: https://nicolefobandom.pages.dev/byhpg-social-security-wage-limit-2025-calculator-jmwgq/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential collection forms
No payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Wage Limit 2025 Calculator - Nicole F Obando

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(56%)

Domain Information

You're looking at domain 'nicolefobandom.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nicolefobandom'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nicolefobandom.pages.dev/byhpg-social-security-wage-limit-2025-calculator-jmwgq/

Page Load Overview

1.85s
Total Load Time
41
HTTP Requests
19
Domains
3.4 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-US
Text Length:3,332 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
56%
government public service
45%
healthcare medical
43%
news/blog
35%
finance banking
28%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15172.66.44.141United States
AS13335CLOUDFLARENET
4172.67.180.98United States
AS13335CLOUDFLARENET
3142.250.185.131United States
AS15169GOOGLE
2172.66.136.209United States
AS13335CLOUDFLARENET
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
167.222.26.118United States
AS63410PRIVATESYSTEMS
135.212.32.241Washington, District of Columbia, United States
AS15169GOOGLE
1136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
4157--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC53297150E804333A6B93D9A465BB4EFEA2A632C903466476FC41D4EF89CF781E351E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:L3apgT+6ekHznnd6oqFbPPPKPJ2pXQbWZJDaQ:LqST7eRVJDH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62293:QgAVJIFIhFENSR5ggwkogECkPLEEgaQPikYdkBhBLRUUwJDMIBAIDTyUcBIBJfshAwEJAgGGCIZAgsgQkAirHpO0xAQDQCCI

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:dfc1ffffff878787
Perceptual Hash:bec93e26cc3694c1
Difference Hash:32333932e22e0c3c
Wavelet Hash:9e818bbbbb830307
Color Hash:#9ad279

Scan History

Scan history not available

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