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Security Scan Report: carlosslopezd.pages.dev

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Submitted: Jan 4, 2026, 9:49:39 PMCompleted: Jan 4, 2026, 9:51:06 PMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 11 domains to perform 29 HTTP transactions. The main domain is carlosslopezd.pages.dev and was registered NaN years ago.

Submitted URL: https://carlosslopezd.pages.dev/dzwun-social-security-stimulus-checks-status-2025-pkzrz/

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site is high‑risk due to malicious primary domain and government‑program impersonation.

Risk Factors
Primary domain matches known malicious Indicators of Compromise
UNRANKED domain with no reputable reputation
Impersonation of a government program (Social Security) to lure users
Domain age information unavailable

Details

Page Title

Social Security Stimulus Checks Status 2025 - Carlos S Lopez

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(77%)

Domain Information

Domain 'carlosslopezd.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'carlosslopezd'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Word splitting yields 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://carlosslopezd.pages.dev/dzwun-social-security-stimulus-checks-status-2025-pkzrz/

Page Load Overview

14.97s
Total Load Time
33
HTTP Requests
11
Domains
839 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:5,011 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
77%
finance banking
58%
documentation technical
55%
adult content
53%
news media journalism
50%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3United States
AS13335CLOUDFLARENET
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2188.114.96.3United States
AS13335CLOUDFLARENET
2151.101.193.91United States
AS8075
2142.250.186.182United States
AS13335
2172.67.180.98United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.217.23.118United StatesUnknown
2150.171.28.10United StatesUnknown
2151.101.129.91United StatesUnknown
3316--

Detected Technologies10

WordPressv6.4.3
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4230832829D093B761F53DCA160731DA5AE9E39DB034AB672F61418EBC0DF6427325E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3ZdapNZOT+ZOF+d6M0ya9yboxSqkp5YIROe6Jz1GHaJa:vapOT+td6M0yaIoxSqkp5YIROe6Jz1it

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47742:uCssATKKcFCQoQlgUcNAC0UREg0QoBDSAE6Z+YAAjCIBnIUaAQsCGOCZK5SNGARBgFAGXYQUh3BTyAFkNkGkAEMa4KUQoTLK

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:00ffc3ff87878787
Perceptual Hash:bec912364d313b6c
Difference Hash:34231b162f2f2f3d
Wavelet Hash:00ff83cf83878787
Color Hash:#96e06c

Other Hashes

Crop Resistant:34231b162f2f2f3d,4101c4c4c4c50141,0000a0c0c0c00000,004eced090910011,79e5e1a5b1b9ac69

Scan History

Scan history not available

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