Security Scan Report: a395.dscb.akamai.net

Submitted: Mar 1, 2026, 11:51:58 AMCompleted: Mar 1, 2026, 11:53:47 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is a395.dscb.akamai.net and was registered NaN years ago.

Submitted URL: https://a395.dscb.akamai.net

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No malicious activity detected; the page appears to be a benign error page.

Safety Factors
Well‑established domain (over 27 years old)
Standard hosting with no IPFS or cloud‑storage involvement
Low JavaScript obfuscation score (no malware patterns)
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

news media journalism

(50%)

Domain Information

The domain 'a395.dscb.akamai.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'a395.dscb'. The registrable portion 'akamai' spans 6 characters split between four vowels and 2 consonants. It segments into 3 words: a, kama, i. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a395.dscb.akamai.net

Page Load Overview

5.35s
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

news media journalism50% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
50%
technology software
50%
government public service
48%
healthcare medical
48%
documentation technical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.241.4France
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130D02EDA008292528D3021C53C826A1BAAE766548A409C88B34A2195C8889F88883884

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxg6UK8mM4awLSUK8WQz:kxj3pQR3pvzRxpqSuqZwqvU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:16c7766a11781adcc491a0f93da036a7

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:#87a8c5

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data