Security Scan Report: payments-orchid.uber.com

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is uber.com and was registered 31 years ago.

Submitted URL: https://payments-orchid.uber.com

The Cisco Umbrella rank of the primary domain is #4,156 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #4,156.

Safety Factors (3)
Well-established domain (ranked #4,156)
No forms or interactive credential elements
No IoC, hunting rule, or IDS alerts
Domain age information unavailable

Details

Page Title

401 Unauthenticated

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'payments-orchid.uber.com' is registered; it also runs on subdomain 'payments-orchid'. The registrable portion 'uber' spans 4 characters split between two vowels and 2 consonants. Breaking it apart gives one word: uber. No strong language cues emerged from the frequency lists.

Screenshot

401 Unauthenticated something went wrong error_id: 6adea7c2-4bca-4595-8012-711541036559

Page Load Overview

0.85s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:107 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism41% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
41%
adult content
29%
healthcare medical
29%
cryptocurrency blockchain
29%
real estate property
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
269.48.218.1Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
169.48.218.2Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
22--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CF08BE4D8E90C9663B012666BA23BC03C00927F41D36D02374D5694AF4466ACD433C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n0Zi3qHqGdL8fmKuRY9kLweJJxJlPm9EdIZkUKk9ks0Oj:n0Q9OKQY9kc4ZMm+3ks0M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:596:CIAAAAAAAAAAAAAEAAAAAAIAAAAAAEAAAAIAACAAAAAAAAAAAAAAAAAAQgQAgAAQAAAAAAAAAAAAAAAAAAgABAAACAAAAAAA

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:87070707070f1f7f
Difference Hash:c040000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:07000000000

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data