Security Scan Report: connorihercus.pages.dev

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Submitted: Dec 11, 2025, 2:53:45 AMCompleted: Dec 11, 2025, 2:54:23 AMpubliccompleted
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Summary

This website contacted 44 IPs in 2 countries across 14 domains to perform 40 HTTP transactions. The main domain is connorihercus.pages.dev.

Submitted URL: https://connorihercus.pages.dev/yyqcj-social-security-checks-for-november-2025-qsrgu/

AI Security Verdict

Low Risk

Confidence: 78%

1
Risk Score

The site shows no immediate threats but is newly registered and unranked; treat as low risk.

Safety Factors
Informational content only
No data collection fields
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Social Security Checks For November 2025 - Connor I. Hercus

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain 'connorihercus.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'connorihercus'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. Tokenizing the label suggests one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connorihercus.pages.dev/yyqcj-social-security-checks-for-november-2025-qsrgu/

Page Load Overview

22.33s
Total Load Time
40
HTTP Requests
14
Domains
1001 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:4,852 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
news media journalism
46%
healthcare medical
45%
adult content
42%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40172.66.43.121United States
AS13335CLOUDFLARENET
052.57.221.121Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0104.21.69.200United States
AS13335CLOUDFLARENET
0104.21.27.177United States
AS13335CLOUDFLARENET
0172.67.212.207United States
AS13335CLOUDFLARENET
0188.114.97.3United States
AS13335CLOUDFLARENET
0172.240.127.243United States
AS7979SERVERS-COM
0104.20.23.96United States
AS13335CLOUDFLARENET
0151.101.129.91San Francisco, California, United States
AS54113FASTLY
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4044--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199233A3391AC087B356F63C9A564B718F9AA9934CA031FB671FA6314DB80DF6406712F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:TZdap61TQZNEE3Oz6bUNzX6a6215OyLmbUOAzc+8tdg3F6kmh8O+6oDJ5sQy:zapgTQPEE3Oz6bUVKS195OAzc+8tdg3G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47914:QRYhdKEBPOCF4qKgekCIpAkFJEw1CIjBopGBlSONYDzgMAHAhOpsVFACwAAoLUiAQlxABqLvALIkQahCC2hACdRNA/GAGQmT

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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