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Security Scan Report: ierinfeakes.pages.dev

Submitted: Dec 11, 2025, 4:36:12 AMCompleted: Dec 11, 2025, 4:37:18 AMpubliccompleted
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Summary

This website contacted 54 IPs in 2 countries across 15 domains to perform 31 HTTP transactions. The main domain is ierinfeakes.pages.dev.

Submitted URL: https://ierinfeakes.pages.dev/jpuuz-social-security-max-payment-2025-gwisl/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches
No password, email, or payment fields present
Content appears informational and does not claim affiliation with official agencies
Domain age information unavailable

Details

Page Title

Social Security Max Payment 2025 - I Erin Feakes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'ierinfeakes.pages.dev' is registered with subdomain 'ierinfeakes'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Tokenizing the label suggests 1 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://ierinfeakes.pages.dev/jpuuz-social-security-max-payment-2025-gwisl/

Page Load Overview

45.76s
Total Load Time
31
HTTP Requests
15
Domains
1.0 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:3,511 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31188.114.97.3United States
AS13335CLOUDFLARENET
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
018.66.122.11United States
AS16509AMAZON-02
052.5.159.58Ashburn, Virginia, United States
AS14618AMAZON-AES
0172.66.40.135United States
AS13335CLOUDFLARENET
0172.66.169.241United States
AS13335CLOUDFLARENET
0104.26.4.18United States
AS13335CLOUDFLARENET
0192.248.191.135Frankfurt am Main, Hesse, Germany
AS20473AS-VULTR
0104.21.11.140United States
AS13335CLOUDFLARENET
0142.251.141.97United States
AS15169GOOGLE
3154--

Detected Technologies8

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
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

T13343B8A7509521366D17979693CC271CE9389E328A034E6A71BE21199FC2FF913D332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIWapjLj5ImXmmk8HfD2FWW3QLbqbuDFy:B5/2PbuDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55991:ZVitxgVpKEWFhn4ggAJHNpKEQFXFJcAyCtQmGAEsQqqiSD1omDLUoZqzACEgxQMEGmxEoAGUEQGRSEsb0kKIign9QCgBjCQk

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:0000ffffff87cf87
Perceptual Hash:ba413232c7c7bac9
Difference Hash:8c1333331b2f2f2f
Wavelet Hash:0000d9ffcf87c787
Color Hash:#1f938c

Other Hashes

Crop Resistant:8c1333331b2f2f2f,0101819c9c835001

Scan History

Scan history not available

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