ScanMalware.com

Security Scan Report: mayakgomes.pages.dev

Submitted: Dec 16, 2025, 7:02:10 PMCompleted: Dec 16, 2025, 7:02:36 PMpubliccompleted
Loading additional data...

Summary

This website contacted 60 IPs in 0 countries across 14 domains to perform 34 HTTP transactions. The main domain is mayakgomes.pages.dev and was registered NaN years ago.

Submitted URL: https://mayakgomes.pages.dev/ypuxyrr-social-security-administration-2025-raise-photos-mmojrut/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates the Social Security Administration and is likely a phishing page.

Risk Factors
Brand impersonation of a government agency on a non‑official domain
Unranked/low‑reputation domain presenting official‑looking content
Potential misinformation about benefit increases
Domain age information unavailable

Details

Page Title

Social Security Administration 2025 Raise - Bunnie Tabina

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(30%)

Domain Information

The domain name 'mayakgomes.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'mayakgomes'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mayakgomes.pages.dev/ypuxyrr-social-security-administration-2025-raise-photos-mmojrut/

Page Load Overview

9.83s
Total Load Time
34
HTTP Requests
14
Domains
864 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:3,385 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
30%
government public service
27%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34104.21.3.64UnknownUnknown
0172.67.166.38UnknownUnknown
0142.250.186.118UnknownUnknown
0188.114.96.3UnknownUnknown
0172.66.47.15UnknownUnknown
0150.171.27.10UnknownUnknown
03.160.150.112UnknownUnknown
034.195.60.139UnknownUnknown
0104.21.11.140UnknownUnknown
0188.114.97.3UnknownUnknown
3460--

Detected Technologies7

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB031C2292DD19773E4F93DA94A1B31CEA7AD614C6034A6A72F8B028DF44DF6017315E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:S0TM4dHZdapzgkST9ZZMYxrsg6N3d3sEpgqviyJ:S0TM4NapUT9jMYxrsg6NxdgqviyJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39678:L3GOEigMPDSq6LODQr1IUYMZKlIi+QMA0R+IDMDAqGIuHL1ggUbCCBgSEigEo2a4gRgVAhogStliFC1SEDgiBQGnBoUKkQIi

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:9f81cfc7c7c7c7cf
Perceptual Hash:b87c7c3c8e969292
Difference Hash:361b191e0f0f2f1b
Wavelet Hash:9f81cdc3c3c383c3
Color Hash:#931f8f

Other Hashes

Crop Resistant:361b191e0f0f2f1b,0012a15959d12200

Scan History

Scan history not available

Unable to load historical scan data