Security Scan Report: hotmallorders.top

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Submitted: Dec 7, 2025, 3:02:46 AMCompleted: Dec 7, 2025, 3:04:11 AMpubliccompleted
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Summary

This website contacted 53 IPs in 3 countries across 8 domains to perform 36 HTTP transactions. The main domain is hotmallorders.top and was registered NaN years ago.

Submitted URL: https://hotmallorders.top/index/user/login.html

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Phishing page impersonating Facebook on a new, unranked domain – confirmed scam.

Risk Factors
Brand impersonation on a newly registered, unranked domain
New domain (<90 days) presenting a login interface
Absence of legitimate authentication infrastructure (no visible form fields)
Potential credential harvesting page
Domain age information unavailable

Details

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(95%)

Domain Information

Domain 'hotmallorders.top' uses the .top top-level domain without a subdomain. The registrable portion 'hotmallorders' spans 13 characters split between four vowels and 9 consonants. Splitting it apart reveals 3 words: hot, mall, orders. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hotmallorders.top/index/user/login.html

Page Load Overview

3.26s
Total Load Time
36
HTTP Requests
8
Domains
438 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-US
Text Length:72 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
95%
news media journalism
32%
social media
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15121.54.173.86Hong Kong
AS152194CTG Server Limited
818.245.31.86United States
AS16509AMAZON-02
4104.18.22.242United States
AS13335CLOUDFLARENET
33.167.227.91United States
AS16509AMAZON-02
3104.18.23.242United States
AS13335CLOUDFLARENET
2108.138.7.80United States
AS16509AMAZON-02
1118.25.42.241Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
03.167.227.65United States
AS16509AMAZON-02
018.245.31.84United States
AS16509AMAZON-02
03.167.227.42United States
AS16509AMAZON-02
3653--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D529616A9531106B40798EC6B736739257A8207C607CD287FBC73B49F8E6E9C6B178C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QM3w4FaYjWFqWF7xKgSDS5jyf2566n+1EPGiaw6JE3bbJNQyT7n0fc4TBNFLsvE0:QM3wy8FqWFMg/VTeP1K9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13424:IAC5wDCAoKjBHQBYACjEgdUgXAMgagOgWBDwDCENnApMwr4nTDAuoAiAJAYTCLAaIRQEARFprWAA4IF1AGEQg1sAMMBwgAM7

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:e7eff7e7e7e7ffff
Perceptual Hash:f78ad92266d98866
Difference Hash:0c080c0c4d0c0008
Wavelet Hash:e3fbe3e303030e0e
Color Hash:#d2b079

Other Hashes

Crop Resistant:0c080c0c4d0c0008

Scan History

Scan history not available

Unable to load historical scan data