Security Scan Report: foundersfcu.akuvo.ai

Submitted: Apr 7, 2026, 10:29:32 PMCompleted: Apr 7, 2026, 10:31:09 PMpubliccompleted
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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 foundersfcu.akuvo.ai and was registered NaN years ago.

Submitted URL: https://foundersfcu.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: 99%

0
Risk Score

AI analysis skipped: HTTP 403 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

AKUVO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(70%)

Domain Information

Within the Anguillan country-code top-level domain (.ai), 'foundersfcu.akuvo.ai' is registered with subdomain 'foundersfcu'. The second-level label 'akuvo' is 5 characters long holding 3 vowels versus 2 consonants. Splitting it apart reveals 2 words: aku, vo. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.54s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
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:153 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content70% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
70%
healthcare medical
65%
documentation technical
64%
government public service
61%
news media journalism
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.179.114.148Washington, Virginia, United States
AS8075Microsoft Corporation
21--

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:#1f932f

Other Hashes

Scan History

Scan history not available

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