Security Scan Report: mail-bcc-gov-bd.vercel.app

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Submitted: Jul 12, 2026, 12:45:10 PMCompleted: Jul 12, 2026, 12:46:31 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 mail-bcc-gov-bd.vercel.app and was registered NaN years ago.

Submitted URL: https://mail-bcc-gov-bd.vercel.app/?download_pdf2=1

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page impersonating Zimbra with a login form; avoid and report.

Risk Factors
Brand impersonation with credential collection
Untrusted hosting subdomain (vercel.app) used for login
Indicators of Compromise on primary domain
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

Domain 'mail-bcc-gov-bd.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mail-bcc-gov-bd'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mail-bcc-gov-bd.vercel.app/?download_pdf2=1

Page Load Overview

11.93s
Total Load Time
6
HTTP Requests
1
Domains
156 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:758 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software64% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
64%
corporate business
39%
documentation technical
32%
government public service
26%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.3United States
AS16509Amazon.com, Inc.
61--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190B2D76625E518610AA770FC59CF110935B09C271009CE087DFC92A87FB6E6B57A3BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HBJ4jhRgFO3nhkaUT4Ox5YXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJciF:QjD3nhkaUT4Ox56tc/oVHgA0v9BiCNJn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24250:sdIgDKQoAuIoUCAUGUaDUIkuBkQD0IhQExQAWwVBgoT4YmCVAGCHUZaEDOIIxCInkACe1wACIkSNBBhsQLLGUaAIKBKMR7oC

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:0000181818180000
Perceptual Hash:89de26f299a4d923
Difference Hash:504cb2b2b232cef3
Wavelet Hash:f07cfeff1f980000
Color Hash:#79d292

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data