Security Scan Report: hamicm.com

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Submitted: Dec 10, 2025, 3:38:02 AMCompleted: Dec 10, 2025, 3:39:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is hamicm.com and was registered NaN years ago.

Submitted URL: https://hamicm.com/lk

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing page impersonating Sri Lanka Post

Risk Factors
Social engineering detection by Google Safe Browsing
Brand impersonation of Sri Lanka Post on unrelated domain
Unranked domain claiming to be a major postal service
Urgent delivery failure message designed to trick users
Domain age information unavailable

Details

Page Title

Department of Posts

Scan Type

public

Language

🇮🇹

Italian

(43% confidence)

Category

government public service

(74%)

Domain Information

You're looking at domain 'hamicm.com' on the commercial generic top-level domain (.com) without a subdomain. Count 6 characters in 'hamicm' split between two vowels and 4 consonants. Word splitting yields 3 words: ham, i, cm. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hamicm.com/lk

Page Load Overview

3.40s
Total Load Time
11
HTTP Requests
1
Domains
452 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:en
Text Length:406 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

government public service74% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
74%
adult content
43%
news media journalism
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.165.1.235Frankfurt am Main, Hesse, Germany
AS132203Tencent Building, Kejizhongyi Avenue
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECF20DA2A055127B0A7BA4C7265F755BA692F12CDF310CCA72BC91248F99F6F34B0216

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ytJAXM1PJtgXUcv++K0UHNiWcdodz77SWNWv/dNvOPf:ytJAuPJtgXUcv++K0U8Wcdodz77SWNWy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37080:4LgiBWChoQzQCoLaSAA8YADKgMBE5AGFRGCNAIiAAGbkJQwABgAegQgEhYAAghrIlJNTg4FEIoH9xAJBgmEYoJVE9SMieEJg

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:9f00ffff0000ffff
Perceptual Hash:b5398f0fb8b0c3c2
Difference Hash:70588e143e480000
Wavelet Hash:0e00ffc70000ffff
Color Hash:#7753ac

Other Hashes

Scan History

Scan history not available

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