Security Scan Report: accelnn.com

Redirected to:
https://accelnn.com/#/pages/login/login
Submitted: Jan 23, 2026, 8:14:17 AMCompleted: Jan 23, 2026, 8:15:44 AMpubliccompleted
Loading additional data...

Summary

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

Submitted URL: https://accelnn.com/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

New unranked site with a login form; likely phishing – do not provide credentials.

Risk Factors
Brand‑new domain (<7 days) presenting a login form
Credential collection (phone number and password) on an untrusted domain
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'accelnn.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'accelnn' spans 7 characters holding two vowels versus five consonants. Tokenizing the label suggests 3 words: acc, el, nn. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.15s
Total Load Time
56
HTTP Requests
4
Domains
1.9 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
1447.79.65.228Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
14111.231.169.247Hong Kong
AS45102Alibaba US Technology Co., Ltd.
1447.79.64.207Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
14188.114.96.3United States
AS13335CLOUDFLARENET
564--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11463A431710D391AA53BC551A4C4AF596125A323C7224A98F39D362A8FC7CE73F7A38D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TmPdZXEnxl7oUNLt8O4IwO1FZxsf3dsf9DsfSMsf/qsfMRTzhBeC3D:TF7fNLU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67769:8DRyfwChQCAQwQIABZA5AxOQQoZEhQYZw2VwYrAiAxoF1AGMGxCZoATNBAZBpACAaCJGptkwRGhqYCYABABAAKIVQCoAWQYm

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:#3e862d

Other Hashes

Crop Resistant:050c0c0c0c0c4c4c

Scan History

Scan history not available

Unable to load historical scan data