Security Scan Report: e7905.dscx.akamaiedge.net

Submitted: Jan 8, 2026, 8:00:07 PMCompleted: Jan 8, 2026, 8:01:58 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 e7905.dscx.akamaiedge.net and was registered NaN years ago.

Submitted URL: https://e7905.dscx.akamaiedge.net

The Cisco Umbrella rank of the primary domain is #587,318 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment forms
No suspicious redirects or content
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

news media journalism

(47%)

Domain Information

The domain 'e7905.dscx.akamaiedge.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'e7905.dscx'. Count 10 characters in 'akamaiedge' containing 6 vowels alongside 4 consonants. It segments into 4 words: a, kama, i, edge. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://e7905.dscx.akamaiedge.net

Page Load Overview

1.76s
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:165 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism47% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
47%
technology software
47%
healthcare medical
46%
documentation technical
45%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.67.128.170Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AD05EAA5042A3928F7051C82C833AAB5AFA32E88644DDDCA7153684D5CDAB08882495

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgxUDcQlsbZxM4awLQcUDcQXz:kxj3pQR3pvzRxpqSx6SgZwkc6j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:dbef055b5b35533ecfc83e06dfbd64bc

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:#3a6e78

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data