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Security Scan Report: isi-data-fromulir-banten-itazpn29hn.edgeone.app

Submitted: Mar 16, 2026, 3:16:08 PMCompleted: Mar 16, 2026, 3:17:32 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is isi-data-fromulir-banten-itazpn29hn.edgeone.app and was registered NaN years ago.

Submitted URL: https://isi-data-fromulir-banten-itazpn29hn.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site mimics Bank Banten on a new hosting subdomain without collecting data; moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
New subdomain with unknown creation date
Low domain reputation (rank > 100k)
Hosting on a generic platform (edgeone.app) without legitimate brand affiliation
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts
No credential exfiltration behavior observed
Domain age information unavailable

Details

Page Title

Jawara Mobile - Bank Banten

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(94%)

Domain Information

The domain 'isi-data-fromulir-banten-itazpn29hn.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'isi-data-fromulir-banten-itazpn29hn'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://isi-data-fromulir-banten-itazpn29hn.edgeone.app/

Page Load Overview

0.83s
Total Load Time
4
HTTP Requests
3
Domains
85 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:392 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking94% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
94%
government public service
80%
adult content
48%
e-commerce shopping
43%
phishing scam
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1142.251.36.118Singapore
AS14907
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15122B52331B12012569390E8BEE29B4E3525C513D90B9A783EAC16D5CFC9E91CEB77DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BIObbY20PzqbatU191bPMClnTQLJX+6bNvlR7KvvrmA5+yTc:BIOiwwNvlR7Yjr/w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10303:gSdFRAaEIggmA0DFzzfo1bMIwRGAJBF7VEUmGMUMYh0UQIMgCCQCmCAkMAIAgdi+RAgCMSs6AAJPioEECEQwwAZAoRlt0Ktn

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:ffefe7ffffe7e7ff
Perceptual Hash:b3996431cc669bc6
Difference Hash:50080830304c4d20
Wavelet Hash:28280018dbcbc3db
Color Hash:#7b53ac

Other Hashes

Crop Resistant:50080830304c4d20

Scan History

Scan history not available

Unable to load historical scan data