Security Scan Report: www.login-ledgger-load-io-subnet.vercel.app

Submitted: Jul 3, 2026, 6:51:48 AMCompleted: Jul 3, 2026, 6:53:28 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is login-ledgger-load-io-subnet.vercel.app and was registered NaN years ago.

Submitted URL: https://www.login-ledgger-load-io-subnet.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Google Safe Browsing marks the site as a phishing (social engineering) page despite no visible forms; treat as high‑risk and avoid.

Risk Factors
Unranked / low‑reputation domain
Subdomain on a generic hosting platform with unknown age
Social Engineering Safe Browsing alert
Domain age information unavailable

Details

Page Title

Deployment Paused

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain 'www.login-ledgger-load-io-subnet.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.login-ledgger-load-io-subnet'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.login-ledgger-load-io-subnet.vercel.app/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:825 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
53%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131United States
AS16509Amazon.com, Inc.
064.29.17.3United States
AS16509Amazon.com, Inc.
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E431547755B1702DF23B88FE38E633682244911BC0960F9AB658BBB8E2D7DA65123245

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7syWa0:TG09ScnwE0rZ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAQAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAADAEiAAAAgEQAGAIgAIIIAAAgAAAgAMAAAABAAAAAAAEAAQAAA

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:ffffffe7e7ffffe7
Perceptual Hash:e699cc9966998c99
Difference Hash:0000000c0c00000c
Wavelet Hash:3f3f3f27040c1c04
Color Hash:#ac5a53

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data