Security Scan Report: hjimenesgabriella.pages.dev

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Submitted: Jan 4, 2026, 7:48:33 AMCompleted: Jan 4, 2026, 7:49:47 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 13 domains to perform 30 HTTP transactions. The main domain is hjimenesgabriella.pages.dev and was registered NaN years ago.

Submitted URL: https://hjimenesgabriella.pages.dev/azvir-social-security-income-limit-2025-increase-oqiil/

AI Security Verdict

High Risk

Confidence: 94%

8
Risk Score

Site impersonates Social Security on a malicious domain – high risk of phishing.

Risk Factors
Malicious primary domain Indicators of Compromise match (pages.dev)
Brand impersonation of a government agency (Social Security) on an untrusted domain
Unranked domain with minimal reputation
Domain age information unavailable

Details

Page Title

Social Security Income Limit 2025 Increase - H Jimenes Gabriella

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'hjimenesgabriella.pages.dev' is registered and includes subdomain 'hjimenesgabriella'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hjimenesgabriella.pages.dev/azvir-social-security-income-limit-2025-increase-oqiil/

Page Load Overview

4.67s
Total Load Time
33
HTTP Requests
13
Domains
1.5 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:4,132 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
adult content
46%
healthcare medical
39%
blog personal website
37%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17104.26.4.18Canada
1172.67.212.207United States
AS13335CLOUDFLARENET
118.66.147.125United States
1104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1108.138.26.109Unknown
1104.21.69.200Unknown
118.66.122.122Unknown
118.66.147.32United States
AS16509AMAZON-02
1199.60.103.30UnknownUnknown
1199.60.103.226United States
AS209242Cloudflare London, LLC
3317--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153F2F532A0AC04363D5F93DD41AAB318F9A9B525CA035B7631FC21688FD9EF601B750E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:L5bZdapNLTWZIty/gA8m/kLk44j8lbiU7QjIZu:lap5TWaU/h8Nk4G8lbiU7QjIs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34410:TGINoQjgXgBkQQgoBCAjfBogsIAJzUsEEQhFNiQKkASBQIRqFAkAIAUiwnwoCoETaAATDI+fIZvEDEABwKEgyAoUUAgARrgC

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:e70000ffdfebcfcf
Perceptual Hash:b94636b4bcd9c90c
Difference Hash:0c4d631b3e1b1a1a
Wavelet Hash:e70000d9cfcbcbcb
Color Hash:#bf6840

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data