Security Scan Report: azelmanisabella.pages.dev

Submitted: Dec 31, 2025, 11:04:14 PMCompleted: Dec 31, 2025, 11:07:22 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 0 domains to perform 0 HTTP transactions. The main domain is azelmanisabella.pages.dev and was registered NaN years ago.

Submitted URL: https://azelmanisabella.pages.dev/vnsif-social-security-stimulus-check-2025-update-schedule-gmhuf/

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

Site impersonates Social Security stimulus checks and matches malicious Indicators of Compromise; treat as high‑risk phishing.

Risk Factors
Malicious Indicators of Compromise matches for pages.dev
Brand impersonation of Social Security on a non‑official domain
Unranked domain with low reputation
Use of a known malicious hosting domain (pages.dev) for phishing content
Domain age information unavailable

Details

Page Title

Social Security Stimulus Check 2025 Update Schedule - A Zelman Isabella

Scan Type

public

Domain Information

The domain name 'azelmanisabella.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'azelmanisabella'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://azelmanisabella.pages.dev/vnsif-social-security-stimulus-check-2025-update-schedule-gmhuf/

Page Load Overview

185.42s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
013.226.247.222Sweden
013.226.247.174France
023.36.162.153United States
0172.66.169.241Unknown
0150.171.28.10Unknown
023.36.162.145Unknown
0142.250.185.86Unknown
0104.21.11.140United States
AS13335CLOUDFLARENET
0188.114.96.3UnknownUnknown
0147.93.93.62Paris, Île-de-France, France
AS47583Hostinger International Limited
017--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13623273210D945336A1F13DCE1A0B71DEAA6AA11CB139E3A33FC16149F81EF35A6714D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/Ga7YLLZdapzX/FrAZk+RJfvtST+ZEDdNrldR9ulPNabVQIuh5QIXQJDJ:/Ga7YvappT+KDdNHR9ulPNabVQJh5Qt/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47770:QOoYBMkwfBBFELBHAg4YJ80CDoGCggrEMMCCRRkG2PRVAECSxYLaJuAB0eAcFMhSMIhQISqBuKDEEYCe7figmiBgDUANtA6K

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:000000fffff7c7c7
Perceptual Hash:b64f3047cf344738
Difference Hash:c9edc128320fafaf
Wavelet Hash:000000ffffe7c7c7
Color Hash:#783a5f

Scan History

Scan history not available

Unable to load historical scan data