Security Scan Report: bou.ac.bd

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Submitted: Oct 28, 2025, 4:51:32 PMCompleted: Oct 28, 2025, 4:52:58 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 5 domains to perform 35 HTTP transactions. The main domain is bou.ac.bd.

Submitted URL: https://bou.ac.bd/BOU/Admission

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no apparent security concerns.

Safety Factors
Domain bou.ac.bd aligns with the university's official domain
No malicious Indicators of Compromise matches found
Cisco Umbrella ranking is unavailable but no other suspicious signals exist
All links point to legitimate university subdomains
Domain age information unavailable

Details

Page Title

Bangladesh Open University (BOU)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'bou.ac.bd' on the Bangladeshi country-code top-level domain (.ac.bd) and has no subdomain. Its registrable label 'bou' stretches across 3 characters split between 2 vowels and 1 consonant. Segmentation suggests one word: bou. 'bou' most strongly signals Afrikaans. Usage also turns up in Catalan and French contexts.

Screenshot

Security scan screenshot of https://bou.ac.bd/BOU/Admission

Page Load Overview

46.87s
Total Load Time
35
HTTP Requests
5
Domains
62.6 MB
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:5,242 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.58.206.42United States
AS15169GOOGLE
3103.157.135.180Bangladesh
AS63961Bangladesh Research and Education Network BdREN
3104.18.11.207United States
AS13335CLOUDFLARENET
3142.250.185.234United States
AS15169GOOGLE
3142.250.74.195United States
AS15169GOOGLE
32a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:831::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700::6812:acfUnited States
AS13335CLOUDFLARENET
32a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700::6812:bcfUnited States
AS13335CLOUDFLARENET
3511--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10573EFF792E835170312965B4D207F199E63C03799499E09B16E0ABE7FC6BE20C1724F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fe2ID/r0F74s41rrMIpj952pMa5YrFz9CNAAvq9aqfUHqqFLqsVqO6/3qugqUHdb:fenP3TpRYks+Twg+ScP+daqO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76382:iWDgxIyWAQSQMOYOATAaSFlksCaBchwSUZ9wgBAYUGIeKE2ZBMCoCAQQBshjMA5JhBfQDgAAwANEwAhNOQIMMGPIUQDAMJCQ

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:1cffe7c3c3c3ffc3
Perceptual Hash:f51e8e327517270a
Difference Hash:64228e96968e6932
Wavelet Hash:001ec7c2c3c3ffc3
Color Hash:#d28279

Scan History

Scan history not available

Unable to load historical scan data