Security Scan Report: sgst-mf.psn.akadns99.net

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is akadns99.net and was registered 4 years 5 months ago.

Submitted URL: https://sgst-mf.psn.akadns99.net

The Cisco Umbrella rank of the primary domain is #34,621 of the top 1 million websites

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 URLother network

Scan Type

public

Domain Name Analysis

The domain 'sgst-mf.psn.akadns99.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'sgst-mf.psn'. Its registrable label 'akadns99' stretches across 8 characters containing 2 vowels alongside 4 consonants; bonus characters include two digits. Segmentation suggests 3 words: aka, dns, 99. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Invalid URL ‘The requested URL "[no URL]", is invalid. Reference #9.15a9645f.1794482185.497a98ba https://errors.edgesuite.net/9. 15a9645f.1794482185.497a98ba

Page Load Overview

0.15s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
documentation technical
48%
news media journalism
47%
healthcare medical
47%
government public service
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.194.190.164Akamai · CDNFrankfurt am Main, Hesse, Germany
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

T11FD05BFA005191D29E7120C41DC22D6654F763545985ADD46345354ADD48AF69893154

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxghJVMF0ZxM4awLUQJVMhz:kxj3pQR3pvzRxpqShJaF0EZwgQJa5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d7e8bf6797d242eba8e76b842db5e693

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:8303030303f3fdff
Difference Hash:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:07000000000

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data