Security Scan Report: ev.ups.com.akadns.net

Submitted: Jan 11, 2026, 9:51:56 AMCompleted: Jan 11, 2026, 9:54:14 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 ev.ups.com.akadns.net and was registered NaN years ago.

Submitted URL: https://ev.ups.com.akadns.net

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; page appears to be a legitimate error page.

Safety Factors
Well-established domain age
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

documentation technical

(49%)

Domain Information

Domain 'ev.ups.com.akadns.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'ev.ups.com'. Count 6 characters in 'akadns' split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: aka, dns. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ev.ups.com.akadns.net

Page Load Overview

32.68s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
49%
news media journalism
49%
cryptocurrency blockchain
48%
government public service
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.58.110.115Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2D097E70043A1E2CFB014C41CD32AD228F9B3A804108EC4A396A98CC84DFF0CC82030

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgidqygxM4awLadqhsz:kxj3pQR3pvzRxpqSKgSZwtI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0987f6415f9ef9c9773bfa801ab98e77

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:8303030303e3ffff
Difference Hash:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#2d6d86

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data