Security Scan Report: api.dailymail.co.uk-v1.edgekey.net

Submitted: May 19, 2026, 12:57:59 PMCompleted: May 19, 2026, 12:59:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is api.dailymail.co.uk-v1.edgekey.net and was registered NaN years ago.

Submitted URL: https://api.dailymail.co.uk-v1.edgekey.net

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

documentation technical

(51%)

Domain Information

The domain 'api.dailymail.co.uk-v1.edgekey.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'api.dailymail.co.uk-v1'. Count 7 characters in 'edgekey' holding 3 vowels versus four consonants. Tokenizing the label suggests two words: edge, key. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.dailymail.co.uk-v1.edgekey.net

Page Load Overview

2.62s
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:167 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
technology software
50%
news media journalism
49%
healthcare medical
48%
government public service
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.52.180.197Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185D02BBF4071D0418D7420C82C83224255F5674865C59CA4F7541A84D4C9AF04843045

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxg1GlxxM4awL9Gl7x4z:kxj3pQR3pvzRxpqS1Gl8ZwRGl9M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:8fc2a32fe0a222ce5adef64271eae6b6

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:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#d27e79

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data