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Security Scan Report: shellballianora.pages.dev

Submitted: Jan 11, 2026, 2:06:19 AMCompleted: Jan 11, 2026, 2:07:58 AMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 15 domains to perform 1 HTTP transaction. The main domain is shellballianora.pages.dev and was registered NaN years ago.

Submitted URL: https://shellballianora.pages.dev/jtqiqgi-social-security-benefits-bill-2024-schedule-images-vgkerzv/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns; currently unreachable.

Safety Factors
Well‑established domain (>5 years)
Unranked status not coupled with any suspicious indicators
No login, payment, or hidden sensitive fields
Domain age information unavailable

Details

Page Title

Social Security Benefits Bill 2024 Schedule - Jessi Lucille

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

You're looking at domain 'shellballianora.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'shellballianora'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Tokenizing the label suggests one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shellballianora.pages.dev/jtqiqgi-social-security-benefits-bill-2024-schedule-images-vgkerzv/

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:771 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
55%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.96.3United States
AS13335
046.229.172.197United States
AS13335
0142.251.141.67United States
AS13335
0172.66.169.241United States
AS13335
0142.251.208.22United States
AS13335
0172.240.108.68United States
AS13335
0142.251.141.97United States
AS13335
0188.114.97.3United States
AS13335CLOUDFLARENET
0209.59.168.98United States
AS13335
0150.171.28.10United States
AS13335
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15843193280A820373EAFD3E8A551B719BA99E105CB034EB972FCA2184F85DF7417755E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TDyGsaptG9TWwe14OPomYekgnoVoDIKerJqYCxYh:D0Tk1CKMJqYCxYh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56649:InSijIvBvFC1owNIQA8NarUDAAhJEBEaIfFCAICjzTILAARAI+GwEUIAKKWqwRHCGzAZDKYABEDIRB8XE3qrSgcAlIEeGrxs

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:efff187c06060606
Perceptual Hash:b2cbb6b6c5194938
Difference Hash:080c3bf18c8c8cac
Wavelet Hash:efff381e4e060642
Color Hash:#87c589

Other Hashes

Crop Resistant:080c3bf18c8c8cac

Scan History

Scan history not available

Unable to load historical scan data