Security Scan Report: a579.dscb.akamai.net

Submitted: Dec 22, 2025, 1:56:09 AMCompleted: Dec 22, 2025, 1:57:19 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 a579.dscb.akamai.net and was registered NaN years ago.

Submitted URL: https://a579.dscb.akamai.net

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

technology software

(50%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'a579.dscb.akamai.net' is registered and includes subdomain 'a579.dscb'. Its registrable label 'akamai' stretches across 6 characters with 4 vowels and 2 consonants. Breaking it apart gives 3 words: a, kama, i. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a579.dscb.akamai.net

Page Load Overview

5.25s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
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%
documentation technical
50%
news media journalism
49%
healthcare medical
48%
government public service
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.168.221Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12.16.168.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105D3BF6215D5097F081B44D773AB39493B686083A607EDD3F6ACB840DF8F6B42862BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BmqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3ME:TWWxArE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135459:xiCQI1l7QLoQNlC/FQ0IsRAK2AFCAgSTdRBIC4jhOWxVBYNCrUGFSEIRAUImAAEL0UKDJJiOIcTBCMKi9mB0Y0TBdiMIFGMH

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:ff3f0501ff81fdfc
Perceptual Hash:8aa5c2a5da7c7ad0
Difference Hash:c0d06d7330174149
Wavelet Hash:7f3f01011f00ff3c
Color Hash:#538eac

Other Hashes

Crop Resistant:c0d06d7330174149

Scan History

Scan history not available

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