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Security Scan Report: sophiathecloser.online.santamaria-acevedo.com

Redirected to: https://sophiathecloser.online.santamaria-acevedo.com/config/

Submitted: Jan 16, 2026, 10:21:33 PMCompleted: Jan 16, 2026, 10:23:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sophiathecloser.online.santamaria-acevedo.com and was registered NaN years ago.

Submitted URL: http://sophiathecloser.online.santamaria-acevedo.com/config/

Effective URL: https://sophiathecloser.online.santamaria-acevedo.com/config/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (>8 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No phishing or brand impersonation indicators
Domain age information unavailable

Details

Page Title

Index of /config

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

technology software

(83%)

Domain Information

Domain 'sophiathecloser.online.santamaria-acevedo.com' uses the commercial generic top-level domain (.com), featuring subdomain 'sophiathecloser.online'. The second-level label 'santamaria-acevedo' is 18 characters long split between 9 vowels and eight consonants, notching one hyphen. Word splitting yields 3 words: santa, maria, acevedo. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sophiathecloser.online.santamaria-acevedo.com/config/

Page Load Overview

0.71s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
74%
news media journalism
67%
cryptocurrency blockchain
67%
healthcare medical
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3162.241.252.197Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B29140649BE192774D841957E244BD9ACBF688F883B104167C1FADC7EB8CABCC606067

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:hUeWQolGmGJEBmSeIBmEYIYm/4b4IHm02IWm4YIzmQoIsmh82IHmA+IIm8OIfmW6:hGqKhbb4bjEz58F2zmhTZHIYvLTCWD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4213:CAACAoggEohgJKwERBBCRAAiqmEwAAEAIAiAEWOAQAgABQIEAAQAAAC4gKBUQI0AIGAAAAFJABAAAEQRQGBQwUAQCRggloAA

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:3f3f3f3f3fffffff
Perceptual Hash:8101feff01fcfe00
Difference Hash:c0c0d0d0c0000000
Wavelet Hash:3030303030f0f0f0
Color Hash:#73bf40

Other Hashes

Crop Resistant:c0c0d0d0c0000000

Scan History

Scan history not available

Unable to load historical scan data