Security Scan Report: pertamina-pemesanan-ia.vercel.app

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Submitted: Jul 12, 2026, 7:50:02 PMCompleted: Jul 12, 2026, 7:51:15 PMpubliccompleted
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Summary

This website contacted 12 IPs in 4 countries across 12 domains to perform 2 HTTP transactions. The main domain is pertamina-pemesanan-ia.vercel.app and was registered NaN years ago.

Submitted URL: https://pertamina-pemesanan-ia.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates the DANA brand on an unranked Vercel subdomain without collecting credentials; moderate risk.

Risk Factors
Brand impersonation (different entity's brand on mismatched domain)
Unranked / lowโ€‘reputation domain
Unknown subdomain age on a hosting platform
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal โ€” credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

๐——๐—”๐—ก๐—” | ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ ๐——๐—”๐—ก๐—”

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(37% confidence)

Category

finance banking

(81%)

Domain Information

You're looking at domain 'pertamina-pemesanan-ia.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'pertamina-pemesanan-ia'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pertamina-pemesanan-ia.vercel.app/

Page Load Overview

5.10s
Total Load Time
50
HTTP Requests
12
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:37%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:37%
Script Type:Unknown
Text Length:222 chars
Detector Agreement:60%

Website Classification

Primary Category

finance banking81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
81%
e-commerce shopping
50%
government public service
45%
news media journalism
36%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
42.21.20.135Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4104.17.24.14Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
443.159.95.39Singapore
4104.18.11.207Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.195United States
AS16509Amazon.com, Inc.
4103.150.93.32Bogor, West Java, Indonesia
AS133800PT Biznet Gio Nusantara
4192.178.183.95Google ยท CDNUnited States
AS15169Google LLC
4104.17.208.5Cloudflare ยท WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.132Google ยท CDNUnited States
AS15169Google LLC
5012--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118F2D8A1549214073213C58877A65F8A325A90038A07CC6877FD365EEF8EBBC99B739D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aG2/5AnEDAFVFmFoFlqcxR3jFTI5klbg2TZax1Tfd6s6sAs6w++:KoE874OLPR3j9XLXk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35364:SCWFFqAIYMkASwJMBg2CUvFIFxIMwZAEAODIiDBGeKRAEFEAAwCKBCJYfQABo4gKhCxkBiTGB4VCiy5AENCSQZJciIQYBKVi

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:00e7f7e7e7ffe7e7
Perceptual Hash:f34c334d33195966
Difference Hash:580c044c0c004d4d
Wavelet Hash:00e7e4e4e4fce4e4
Color Hash:#c5878e

Scan History

Scan history not available

Unable to load historical scan data