Security Scan Report: a397.b.akamai.net

Submitted: Jul 15, 2026, 12:19:26 AMCompleted: Jul 15, 2026, 12:21:10 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is a397.b.akamai.net and was registered NaN years ago.

Submitted URL: https://a397.b.akamai.net

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

technology software

(50%)

Domain Information

The domain 'a397.b.akamai.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'a397.b'. The registrable portion 'akamai' spans 6 characters split between four vowels and two consonants. Segmentation suggests 3 words: a, kama, i. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a397.b.akamai.net

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
Domains
1 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

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
news media journalism
47%
documentation technical
46%
healthcare medical
46%
government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.55.161.191Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Page Statistics

2
Requests
1
Unique Domains
0.8 KB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144D0A5F70181A1D79F7010C81DD7776655EF531445804DDCA7C971D5D55CDF58843052

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxg1OpxM4awLdOyz:kxj3pQR3pvzRxpqS1hZw5d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:97802f282db46b61be7d194860555529

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:#d22dae

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data