Security Scan Report: a1639.dscb.akamai.net

Submitted: Mar 17, 2026, 11:47:07 PMCompleted: Mar 17, 2026, 11:48:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is a1639.dscb.akamai.net and was registered NaN years ago.

Submitted URL: https://a1639.dscb.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

(65% confidence)

Category

cryptocurrency blockchain

(50%)

Domain Information

The domain name 'a1639.dscb.akamai.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'a1639.dscb'. The core label 'akamai' covers 6 characters holding four vowels versus two consonants. Splitting it apart reveals three words: a, kama, i. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a1639.dscb.akamai.net

Page Load Overview

0.14s
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

cryptocurrency blockchain50% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
50%
news media journalism
48%
government public service
47%
healthcare medical
47%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.55.161.140Germany
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D05EAE614292566D7120C81CC22656AAE673E455848DACD3152198E9499B08883084

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxg0c90fxM4awLsc+uz:kxj3pQR3pvzRxpqS0eZwAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:3289d04e18a58021ece5e417a911e6fc

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:3030f0f000000000
Color Hash:#bde06c

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

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