Security Scan Report: whatsappin.biz.id

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is whatsappin.biz.id and was registered 4 months ago.

Submitted URL: https://whatsappin.biz.id

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Google Safe Browsing flags this page for social engineering; it collects usernames and passwords through a WhatsApp-lookalike login on an unranked new domain. Do not enter credentials.

Risk Factors (4)
Google Safe Browsing social engineering / phishing detection
Credential-harvesting login and signup form (password fields) on a non-official domain
Brand confusion with WhatsApp (Meta) via name, copy and messaging service claims
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

WhatsAppin

Scan Type

public

Domain Name Analysis

Within the Indonesian country-code top-level domain (.biz.id), 'whatsappin.biz.id' is registered. The registrable portion 'whatsappin' spans 10 characters with three vowels and seven consonants. Word splitting yields 3 words: what, s, appin. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whatsappin.biz.id

Page Load Overview

1.00s
Total Load Time
11 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:251 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network34% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.166.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.83.2Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18181326510F0945FA68180DDBED06A5A3D9AD903CE264600B6EC0FE84F83DC2EE1B469

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:UgF7V5iy0cVyrzeHy0PwEi45ZuaLwoP0mi:rV5QnriHHiYZuaL7i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4095:lAMDAAAAQBKAAQAJRDwEPAAiQYBIBBDCAKIIggABJAGQQQAkYQAAQBMCkABCUiIAAEAUIgAAECgMBiAAAIAkAAIQAgBoCDAA

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:fcf8f8f8fce4c0c0
Perceptual Hash:d3cc6d9396649293
Difference Hash:0900012169090618
Wavelet Hash:f8f8f8f0fce0c0c0
Color Hash:#8479d2

Other Hashes

Crop Resistant:0900012169090618

Scan History

Scan history not available

Unable to load historical scan data