Security Scan Report: a1992.v.akamai.net

Submitted: Jan 18, 2026, 6:42:37 AMCompleted: Jan 18, 2026, 6:44:19 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 a1992.v.akamai.net and was registered NaN years ago.

Submitted URL: https://a1992.v.akamai.net

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

No security concerns detected; page is a generic error page.

Safety Factors
Well‑established domain
HTTPS connection
No malicious Indicators of Compromise
No login or payment forms
Generic error page from Akamai
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

news media journalism

(50%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'a1992.v.akamai.net' is registered; it also runs on subdomain 'a1992.v'. Count 6 characters in 'akamai' holding four vowels versus two consonants. It segments into 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://a1992.v.akamai.net

Page Load Overview

0.38s
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%
healthcare medical
49%
government public service
48%
technology software
47%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.19.126.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FD097EB8457D2924F3011C44CC73A1229E132782608CDEC9B0E72CECA4CFF0C887804

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgk1L/xM4awL81LvQz:kxj3pQR3pvzRxpqS0SZw2U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:2fab4235d893de7252763b82e99e4cf1

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:8303030303f3fdff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#c587a3

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data