Security Scan Report: li.hrmddco.gov.bd

Redirected to:
https://li.hrmddco.gov.bd/
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Submitted: Jun 11, 2026, 12:49:43 PMCompleted: Jun 11, 2026, 12:50:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is li.hrmddco.gov.bd.

Submitted URL: https://li.hrmddco.gov.bd/getting-to-know-chris-evert.html

Effective URL: https://li.hrmddco.gov.bd/Redirected

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

The site shows no malicious indicators, contains no credential or payment forms, and appears to be a legitimate government‑related page.

Safety Factors
Government subdomain (hrmddco.gov.bd)
Absence of login, payment, or data‑collection forms
No malicious network or IDS alerts
No external malicious resources loaded
Domain age information unavailable

Details

Page Title

Too Many Requests

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(50%)

Domain Information

Domain 'li.hrmddco.gov.bd' uses the Bangladeshi country-code top-level domain (.gov.bd) with subdomain 'li'. Its registrable label 'hrmddco' stretches across 7 characters with 1 vowel and six consonants. Word splitting yields 3 words: hr, md, dco. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://li.hrmddco.gov.bd/getting-to-know-chris-evert.html

Page Load Overview

8.51s
Total Load Time
23
HTTP Requests
8
Domains
128 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
Text Length:3,322 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
50%
government
48%
news media journalism
37%
adult content
31%
e-commerce shopping
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23108.181.23.167Los Angeles, California, United States
AS40676Psychz Networks
231--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150D0807DC5F7241FC4A0B7D19DC1A1D41C9551D124960371758C31795754715DD031B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxgROVKeZLRPqR1XbZ6U//YgNhGAbH/v8xZ4XEL0NFDAABCjKRy4VxIacz:haxUIdViR1X96JowoUmlBCQMXz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0834965e055bf6c4b92b1fa848d8b5be

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:3fbfffffffffffff
Perceptual Hash:8707070707071fff
Difference Hash:c040000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#d279b6

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data