Security Scan Report: pdx-asp-st.starbucks.com

Submitted: Jan 13, 2026, 2:32:39 AMCompleted: Jan 13, 2026, 2:34:26 AMpubliccompleted
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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 pdx-asp-st.starbucks.com and was registered NaN years ago.

Submitted URL: https://pdx-asp-st.starbucks.com

The Cisco Umbrella rank of the primary domain is #17,442 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate error page with no security concerns.

Safety Factors
Official brand subdomain
Established domain registration date (1993)
Error page content does not request user data
Domain age information unavailable

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

healthcare medical

(39%)

Domain Information

The domain name 'pdx-asp-st.starbucks.com' uses the commercial generic top-level domain (.com) with subdomain 'pdx-asp-st'. The registrable portion 'starbucks' spans 9 characters containing two vowels alongside seven consonants. It segments into one word: starbucks. Median word length is nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pdx-asp-st.starbucks.com

Page Load Overview

12.25s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:116 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical39% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
39%
adult content
38%
documentation technical
36%
news media journalism
35%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.57.202.204San Jose, California, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D501D09463D8554EDE15A2D8D0E17FCA46D8019B1AE1147CBC05A0B7C0A31A7CD269FA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnMEwuiuX4wRpkolJnkYXKEGE3JRjXKi3ZXxOGDXMXxOGLA7jRXffu:hMNmVpkMJn/jGE3PTv9xOGCxOGM7de

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:758:AAAgAAAAAAAAAAAAAAAAAMAAgIAAAQEAAAAAAAAAAAAAAAAAQAUAAAAAQIAAAAAAAAAAAAACAAAAQAAAAAAAAAAAAAAAAACA

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:3f3fffffffffffff
Perceptual Hash:800001030fffffff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#53ac9a

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data