Security Scan Report: getsab.in

Submitted: Oct 28, 2025, 10:53:47 PMCompleted: Oct 28, 2025, 10:55:22 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 6 domains to perform 58 HTTP transactions. The main domain is getsab.in.

Submitted URL: https://getsab.in/wp-includes/js/tinymce/v1/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing site impersonating MBH Bank; do not trust.

Risk Factors
Compromised WordPress site
Brand impersonation of a financial institution on an unranked, likely newly registered domain
Lack of legitimate ranking combined with bank branding
Domain age information unavailable

Details

Page Title

MBH Bank

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

finance banking

(78%)

Domain Information

You're looking at domain 'getsab.in' on the Indian country-code top-level domain (.in) and has no subdomain. The core label 'getsab' covers 6 characters containing two vowels alongside four consonants. Segmentation suggests two words: gets, ab. Average segment length settles at three characters. The linguistic tilt is German for 'gets'. Usage also turns up in Icelandic and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://getsab.in/wp-includes/js/tinymce/v1/

Page Load Overview

36.06s
Total Load Time
58
HTTP Requests
6
Domains
6.2 MB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:hu
Text Length:12,731 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
78%
entertainment media
77%
adult content
57%
corporate business
56%
government public service
52%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.250.185.66United States
AS15169GOOGLE
3192.185.129.195United States
AS46606UNIFIEDLAYER-AS-1
352.212.104.190Dublin, Leinster, Ireland
AS16509AMAZON-02
352.209.28.25Dublin, Leinster, Ireland
AS16509AMAZON-02
3142.250.181.230United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
3142.250.184.200United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
32a00:1450:4001:81c::2002Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32001:4860:4802:32::36United States
AS15169GOOGLE
5815--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCC3E9A2C4E0703A421B4BD1E0B07BB7B45F7167DD4B4C85B2FC1AA8ABE1DD87A4941D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hNmvfahCAhfIk3NdpLo8mC/sAYRT49c5xaDK1+03Va:hNmvfahCgIk3b3m5xaDK7Va

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123847:UALNjQRiMwRKbLDQHWAU2gBZJAAQRQUpQDldATRQkkFPZ6LEBKgIsHSCpRmKUOYpIEAMI4OJKgEEGhPZ10Qq1shytQrCqDQB

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:00003c3c3c3c0000
Perceptual Hash:8e1270ecda92ced3
Difference Hash:969e696961611f37
Wavelet Hash:40003c3c3dffd3d3
Color Hash:#4062bf

Other Hashes

Scan History

Scan history not available

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