Security Scan Report: veridiancu.akuvo.ai

Submitted: Mar 8, 2026, 1:09:08 AMCompleted: Mar 8, 2026, 1:10:44 AMpubliccompleted
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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 veridiancu.akuvo.ai and was registered NaN years ago.

Submitted URL: https://veridiancu.akuvo.ai

The Cisco Umbrella rank of the primary domain is #150,101 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 (>6 years)
Low risk ranking but no other suspicious signals
No credential or payment collection mechanisms
No malicious Indicators of Compromise
No malware or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

AKUVO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain 'veridiancu.akuvo.ai' uses the Anguillan country-code top-level domain (.ai); it also runs on subdomain 'veridiancu'. The registrable portion 'akuvo' spans 5 characters split between 3 vowels and 2 consonants. Splitting it apart reveals 2 words: aku, vo. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://veridiancu.akuvo.ai

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
59%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.179.114.148Washington, Virginia, United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14231ED5A9BE300557A1391D42FF71B187B94991BD20ECD697ECD739CCF896C2889238C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRjClMyHSZo6seRXvtcduO5763mwhMHAt6+g+LjQ/aJXEGGdtXnWegbNmvN:ThXZ2mFcdC2R3GKaJX+7Weka

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1849:AAAAIAAAIAACAAAACAgAgBAaGBAABAgIBAAAQAAAAAQBCAAAAAEAAAAAAAACAEAAABBoBAACgAAAAAAAAQAAgAAAAAAQAACg

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:3c3c3c0000000000
Perceptual Hash:dd99d82737223362
Difference Hash:7070700c20000000
Wavelet Hash:fcfcfcf0e0e0c0c0
Color Hash:#2d3dd2

Other Hashes

Scan History

Scan history not available

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