Security Scan Report: a1965.dscq.akamai.net

Submitted: Mar 17, 2026, 5:19:14 AMCompleted: Mar 17, 2026, 5:20:59 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is a1965.dscq.akamai.net and was registered NaN years ago.

Submitted URL: https://a1965.dscq.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

technology software

(48%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'a1965.dscq.akamai.net' is registered and includes subdomain 'a1965.dscq'. Count 6 characters in 'akamai' holding four vowels versus 2 consonants. Splitting it apart reveals three words: a, kama, i. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a1965.dscq.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:165 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
news media journalism
48%
healthcare medical
47%
government public service
46%
documentation technical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2184.24.77.58Germany
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190D05EEB1196E96A4DB020C82CD3769F9BEA76E88A50CD98E2452586D54DAB0D883884

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgmDLXcfxM4awL+DLXtz:kxj3pQR3pvzRxpqSmDLXcKZwyDLXt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:9143fb94d84c66f625e4b4ce2a4bb3d4

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:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#e09c6c

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data