Security Scan Report: carolrburrisv.pages.dev

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Submitted: Jan 10, 2026, 8:57:39 PMCompleted: Jan 10, 2026, 8:59:14 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 16 domains to perform 1 HTTP transaction. The main domain is carolrburrisv.pages.dev and was registered NaN years ago.

Submitted URL: https://carolrburrisv.pages.dev/tbrzh-social-security-pay-calendar-2025-fbmcq

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

Social Security Pay Calendar 2025 - Carol R Burris

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

The domain name 'carolrburrisv.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'carolrburrisv'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Tokenizing the label suggests one 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://carolrburrisv.pages.dev/tbrzh-social-security-pay-calendar-2025-fbmcq

Page Load Overview

93.25s
Total Load Time
1
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:8,972 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
68%
healthcare medical
64%
documentation technical
63%
finance banking
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.37.127Sweden
0142.251.208.10Germany
0142.250.186.163United States
0216.177.130.27United States
AS3955321P-WSS
099.84.152.73Unknown
023.36.162.215Unknown
03.174.46.105Unknown
0104.26.1.222UnknownUnknown
0142.250.184.246UnknownUnknown
0104.21.18.46UnknownUnknown
016--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A533B526D6782C63392E4264A272333D6C67B527D6021E7A74FDF2101B878AB057F6CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tGjZdapNeai6DNB/3X3XMIaSj2vmSYTB3YUaq0I27wAndLAXx:8ap0aTD5aSjVTBoUaq0yAndL+x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52841:iRPDEI0ydLCEmSBNEUGdAUEERAVgURwM0BAhAQpWBCAhCYAAR0QQPOUWATwoERKIKEJK6yhGwAYMBWK6ZOhiiD1hWmYAIiGC

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:ffffff818397b787
Perceptual Hash:bed1c686394e96c1
Difference Hash:55152d2b2f2e2f2f
Wavelet Hash:a5e78d8183879787
Color Hash:#d2af79

Other Hashes

Crop Resistant:55152d2b2f2e2f2f

Scan History

Scan history not available

Unable to load historical scan data