Security Scan Report: accekioa.com

Redirected to: https://accekioa.com/#/pages/login/login

Submitted: Jan 20, 2026, 4:41:43 AMCompleted: Jan 20, 2026, 4:43:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 41 HTTP transactions. The main domain is accekioa.com and was registered NaN years ago.

Submitted URL: https://accekioa.com/

Effective URL: https://accekioa.com/#/pages/login/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New domain with login form; classified as confirmed phishing scam.

Risk Factors
Brand new domain (<7 days) presenting a credential‑collection login page
Login form on a newly registered, unranked domain
Potential brand impersonation without any verified brand ownership
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'accekioa.com' uses the commercial generic top-level domain (.com). Count 8 characters in 'accekioa' split between five vowels and 3 consonants. Word splitting yields 4 words: acc, e, kio, a. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accekioa.com/

Page Load Overview

5.22s
Total Load Time
56
HTTP Requests
4
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:210 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1447.79.64.207Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
1447.79.65.228Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
14188.114.97.3United States
AS13335CLOUDFLARENET
14118.25.42.241UnknownUnknown
564--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE63A431710D391AA53BC551A4C4AF596125A323C7224A98F39D362A8FC7CE73F7A38D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TmPdZXEnxl7oUNL38OKIwrFZxsf3dsf9DsfSMsf/qsfMRTzhBeC3D:TF7fNLd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67774:QJKSJcSaJEIAB5QhkQCBB5ATUjB8ohw0aQCVBWAQAYDBqhjtgaJAcbeEy0TEQFXAArGJtpE0iAGENQuYLRrHAAgiQwIAAg4i

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:e3e7e7e7e7e7c7e7
Perceptual Hash:b3cc334c6664ce66
Difference Hash:050c0c0c0c0c4c4c
Wavelet Hash:2727272727272727
Color Hash:#2da9d2

Other Hashes

Crop Resistant:050c0c0c0c0c4c4c

Scan History

Scan history not available

Unable to load historical scan data