Security Scan Report: a1195.mm3.akamai.net

Submitted: May 6, 2026, 2:04:07 PMCompleted: May 6, 2026, 2:05:55 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is a1195.mm3.akamai.net and was registered NaN years ago.

Submitted URL: https://a1195.mm3.akamai.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

(63% confidence)

Category

healthcare medical

(46%)

Domain Information

You're looking at domain 'a1195.mm3.akamai.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'a1195.mm3'. The core label 'akamai' covers 6 characters containing 4 vowels alongside two consonants. Segmentation suggests three words: a, kama, i. Median word length comes out to 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a1195.mm3.akamai.net

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:63%
Script Type:Latin
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical46% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
46%
news media journalism
46%
documentation technical
46%
technology software
45%
government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.193.201.216Edison, New Jersey, United States
AS20940Akamai International B.V.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19AD02EBA608291724EB415C88D8323A2A9F2332486409C8CA34A3685D68A9F0888B284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgbD8SS3WwQGvyxM4awLjD8SS3WwQGNz:kxj3pQR3pvzRxpqSb4SS3WlGZwf4SS3b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4c7e815626cb76dc6d9451fa0bb067c1

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:3030f0f000000000
Color Hash:#5d1f93

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data