ScanMalware.com

Security Scan Report: providers.upmc.com

Submitted: Oct 16, 2025, 2:28:26 PMCompleted: Oct 16, 2025, 2:29:49 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is providers.upmc.com and was registered NaN years ago.

Submitted URL: https://providers.upmc.com/provider/rebecca-miller/1326995

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered 1999)
No malicious Indicators of Compromise
No credential or payment collection fields
No phishing or malware indicators
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.

Page Title

N/A

Scan Type

public

Language

🇪🇸

CA

(50% confidence)

Category

cryptocurrency blockchain

(66%)

Domain Information

The domain 'providers.upmc.com' uses the commercial generic top-level domain (.com) and includes subdomain 'providers'. Its registrable label 'upmc' stretches across 4 characters with 1 vowel and three consonants. Breaking it apart gives 2 words: up, mc. Median word length comes out to 2 characters. The linguistic tilt is Chinese (Pinyin) for 'up'. You may catch it in English and Chinese (Zhuyin) as well.

Screenshot

Security scan screenshot of https://providers.upmc.com/provider/rebecca-miller/1326995

Page Load Overview

34.78s
Total Load Time
10
HTTP Requests
3
Domains
194 KB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:50%
Script Type:Unknown
Text Length:82 chars
Detector Agreement:50%

All Detected Languages

🇪🇸ca(70%)🇺🇸en(30%)

Website Classification

Primary Category

cryptocurrency blockchain66% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
66%
healthcare medical
58%
technology software
57%
news media journalism
57%
documentation technical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
445.60.233.26United States
AS19551INCAPSULA
1172.217.23.106United States
AS15169GOOGLE
1142.250.186.99United States
AS15169GOOGLE
12a00:1450:4001:800::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:813::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
1142.250.185.163United States
AS15169GOOGLE
107--

Detected Technologies3

X-UA-Compatible
100%
Imperva
85%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F11213FD524A888E9310636D059E14C9200B447F3205D01EEE562AB6BBABE714526EE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:Hd1hvyZIxijvVDgeXSCOu9/WTJ7NTtpn7d7p:HbhSfjh3SCFyJ7dtp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:975:AAAAAAAQAhAAFAAAAAAAUEIAAAAIAAAAAAAAAAAABAAAAAAAAAAQAAAAAAAAAAAAgAAAAEAACAAAACAAIAQgAAgQAAAAAKAE

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:001c1c3c3c000000
Perceptual Hash:9a986467c3db6474
Difference Hash:44b1317179061000
Wavelet Hash:301c3c3cfcf0f0f0
Color Hash:#c5a687

Other Hashes

Crop Resistant:44b1317179061000

Scan History

Scan history not available

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