Security Scan Report: wwwapps.ups.com

Redirected to:
https://www.ups.com/us/en/shipping/how-to-ship-package
Site favicon
Submitted: Jun 23, 2026, 12:18:46 PMCompleted: Jun 23, 2026, 12:19:33 PMpubliccompleted

This website contacted 2 IPs in 1 country across 29 domains to perform 162 HTTP transactions. The main domain is ups.com and was registered 34 years ago.

Submitted URL: https://wwwapps.ups.com/us/en/shipping/how-to-ship-package

Effective URL:

https://www.ups.com/us/en/shipping/how-to-ship-package
Redirected

The Cisco Umbrella rank of the primary domain is #7,101 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no phishing, credential harvesting, or malware indicators.

Safety Factors (4)
Official UPS subdomain (wwwapps.ups.com)
Consistent UPS branding in meta tags
Long‑standing domain registration
Clean network and JavaScript behavior
Domain age information unavailable

Details

Page Title

How To Ship a Package | UPS - United States

Scan Type

public

Domain Name Analysis

You're looking at domain 'wwwapps.ups.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'wwwapps'. The registrable portion 'ups' spans 3 characters split between 1 vowel and two consonants. Breaking it apart gives 1 word: ups. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wwwapps.ups.com/us/en/shipping/how-to-ship-package

Page Load Overview

2.25s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:15,671 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service56% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
56%
technology software
48%
documentation technical
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
812.23.246.96Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
8123.222.82.97Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
1622--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14154C65734E2322AE6D3878DA6227B85B411994FFD3398DCF15C87B84BCDBE11C1660A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QUWu64C4xQYnpWx2G+byb8+cP4Pz9JAhfd15iBbf4JpVVwzxcpCqeNuwmIlIwIAh:VWu64CQFG+8cod4hVwzxcIqejF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:292583:JsAshAjA0RIHaCh4IEIRwRTWQyoEFiGCwISzLoAEEVKIwjBOCAaYS3AiAQEMRgA1gNqbCjQKEUQieUIRGuMgBPxRtMCA4oIx

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:b9ff91b1f1f1ffff
Perceptual Hash:eb1d956b6b146a11
Difference Hash:4378337363e3100f
Wavelet Hash:00bd9080a0f1ffff
Color Hash:#863d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data