Security Scan Report: landbank-customerrcare-ph-web.vercel.app

Submitted: Jul 16, 2026, 3:50:28 AMCompleted: Jul 16, 2026, 3:52:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is landbank-customerrcare-ph-web.vercel.app and was registered NaN years ago.

Submitted URL: https://landbank-customerrcare-ph-web.vercel.app

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Land Bank of the Philippines and harvests login credentials; treat as high‑risk phishing.

Risk Factors
Brand impersonation (different entity's brand on unrelated domain)
Credential collection form on unknown‑age subdomain
Unranked domain in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Land Bank of the Philippines | Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(54%)

Domain Information

The domain 'landbank-customerrcare-ph-web.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'landbank-customerrcare-ph-web'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://landbank-customerrcare-ph-web.vercel.app

Page Load Overview

0.41s
Total Load Time
5
HTTP Requests
2
Domains
95 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:123 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking54% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
54%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.195United States
AS16509Amazon.com, Inc.
51--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A49194360064587F620786E8F5A47738D89BC25FCEAB9808A2ED023827D6DB1CD6346D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ncJu9aolKHaNwFPl1L7NMQKirj/S3zd8ct8mCXe908cBXx7QeHDRj3QVkdifkDMA:nv4jFPXP+d31tnyBXvRj3QwiyMwI4I5+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4506:ALhBEWECAhEDAQAAAEKRCQICoBABAEIMDAABAgAFWeAgShQEAAEIBCAQDABUwYEIAUAkEIRWCAEigiBCACQwBAAgAACUYhYE

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:e0f8f8f8e0f0f0f0
Perceptual Hash:dd99662632c99999
Difference Hash:0010301000000000
Wavelet Hash:e0f0f8f8e0f0f0f0
Color Hash:#1f3c93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data