Summary
This website contacted 4 IPs in 3 countries across 4 domains to perform 57 HTTP transactions. The main domain is accermk.com and was registered NaN years ago.
Submitted URL: https://accermk.com/
Effective URL: https://accermk.com/#/pages/login/loginRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
New domain login page likely phishing; do not provide credentials and report as scam.
Risk Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'accermk.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'accermk' covers 7 characters split between 2 vowels and 5 consonants. It segments into 3 words: acc, erm, k. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 124.220.205.65 | China | |
| 14 | 47.79.65.228 | Hong Kong, Hong Kong | AS45102Alibaba US Technology Co., Ltd. |
| 14 | 47.79.64.207 | Hong Kong, Hong Kong | AS45102Alibaba US Technology Co., Ltd. |
| 14 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 56 | 4 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data