Security Scan Report: api.miles-and-more.com

Submitted: Nov 26, 2025, 4:12:52 AMCompleted: Nov 26, 2025, 4:16:06 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api.miles-and-more.com.

Submitted URL: https://api.miles-and-more.com/

The Cisco Umbrella rank of the primary domain is #97,546 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No significant security concerns detected.

Safety Factors
Subdomain of known brand (miles-and-more.com)
Domain ranking within top 100k suggests some legitimacy
Absence of suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

unknown

(0%)

Domain Information

The domain 'api.miles-and-more.com' uses the commercial generic top-level domain (.com) and includes subdomain 'api'. Count 14 characters in 'miles-and-more' with 5 vowels and seven consonants; bonus characters include 2 hyphens. Breaking it apart gives three words: miles, and, more. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.miles-and-more.com/

Page Load Overview

0.25s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
Text Length:44 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.212.222.25Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1104.70.82.208Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BE07D31E0940F5B613256DDDD42A208CAE3301768202D88B7C0607C8FDDE1BC917B86

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96CoUtUQLGgjBdtFV7XsJMA5Rg+YqeJmNdxELa:kxV7Hfhp6jBFVjm2qQm7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:da06842268368e70e155248212d3430e

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:0007ffffffffffff
Perceptual Hash:9f1f1f1f60e0e0c1
Difference Hash:b878002000000000
Wavelet Hash:00074fcf0f0f0f0f
Color Hash:#3a785d

Other Hashes

Crop Resistant:b878002000000000

Scan History

Scan history not available

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