Security Scan Report: byronjbarriosb.pages.dev

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Submitted: Jan 10, 2026, 7:43:19 AMCompleted: Jan 10, 2026, 7:44:38 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 16 domains to perform 44 HTTP transactions. The main domain is byronjbarriosb.pages.dev and was registered NaN years ago.

Submitted URL: https://byronjbarriosb.pages.dev/gspzj-social-security-limit-2025-salary-list-ytwgw/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Established domain with multi‑year registration
Absence of password, email, or payment fields
No known malicious Indicators of Compromise
Informational content without brand impersonation
Domain age information unavailable

Details

Page Title

Social Security Limit 2025 Salary List - Byron J Barrios

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(57%)

Domain Information

The domain 'byronjbarriosb.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'byronjbarriosb'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://byronjbarriosb.pages.dev/gspzj-social-security-limit-2025-salary-list-ytwgw/

Page Load Overview

6.74s
Total Load Time
43
HTTP Requests
16
Domains
856 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:5,138 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
57%
adult content
56%
healthcare medical
44%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
3142.250.186.163United States
AS15169GOOGLE
3195.201.128.179Germany
3150.171.27.10Germany
3192.124.249.107Menifee, California, United States
AS30148SUCURI-SEC
3104.26.15.73Germany
3104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
3142.250.186.138United States
AS15169GOOGLE
3172.66.47.20United States
AS13335CLOUDFLARENET
3104.20.23.96United States
AS13335CLOUDFLARENET
4314--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134332A2261F504373A5FD3E8A6A0770CBA96961ACA030E7675FCA2584FC4EF644A351F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CiHigiDi3ap8GrTQnmR41zlZI7F3cDuRZbuZeed8L14NZJgm4xYL:URTTRGJgm4xYL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55059:JAUQSMogAD3wjpMFK1YIAAKBoHBxGVQQxVEjoFHHru/0ACyKEwTGRAEUgCAeCgEUbKLIUUQshNiKIBCwQQAKCBwHCxaMEAAG

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:fffff9ff87878787
Perceptual Hash:b2cd32b632cd3a32
Difference Hash:0c0c3bf12c2c2c0c
Wavelet Hash:e7ff381e07070706
Color Hash:#864f2d

Scan History

Scan history not available

Unable to load historical scan data