Security Scan Report: getsab.in

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Submitted: Oct 28, 2025, 9:44:12 PMCompleted: Oct 28, 2025, 9:45:10 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is getsab.in.

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating a bank on a compromised WordPress site.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Compromised WordPress site indicators (system paths in URL)
Urgent/threatening language used to coerce users
Domain age unknown / likely very new
Domain age information unavailable

Details

Page Title

Személyes adatok frissítése

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'getsab.in' uses the Indian country-code top-level domain (.in) and has no subdomain. Count 6 characters in 'getsab' split between two vowels and 4 consonants. Segmentation suggests 2 words: gets, ab. The median word length lands at three characters. The linguistic tilt is German for 'gets'. Secondary signals appear in Icelandic and Chinese (Pinyin). Net impression: German phrase.

Screenshot

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

Page Load Overview

21.77s
Total Load Time
10
HTTP Requests
4
Domains
189 KB
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:276 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.155.116United States
AS13335CLOUDFLARENET
1104.20.19.83United States
AS13335CLOUDFLARENET
1142.250.74.195United States
AS15169GOOGLE
1142.250.186.170United States
AS15169GOOGLE
1192.185.129.195United States
AS46606UNIFIEDLAYER-AS-1
12606:4700:10::6814:1353United States
AS13335CLOUDFLARENET
12a00:1450:4001:80b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12606:4700:10::ac42:9b74United States
AS13335CLOUDFLARENET
109--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A622E969B350045A6E53C4EBE9D1B519F23AA0C3DF2ECAB9B5CB4000F7DB16648E3748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrShl287JXeS7JXex/27xM3BzR9mz+6lYFZJ2H:VrSxhL7+xzR9mz+6lY0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10139:gBK0rDAhjhpB4QgRzgekMqEgZaw4AhyllQCMkAwqAwBBQAggAiUAmlhMYgKg8iBAQ6KFABIGDAgFwEFjUg45oEIRqByPCFRC

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:ffffefe7a7e7ffff
Perceptual Hash:b38ccc3333cc3333
Difference Hash:0010282848483000
Wavelet Hash:33330b0b20383c3c
Color Hash:#4062bf

Other Hashes

Crop Resistant:0010282848483000

Scan History

Scan history not available

Unable to load historical scan data