Security Scan Report: apimanagerredirect.vercel.app

Submitted: Oct 14, 2025, 3:36:40 AMCompleted: Oct 14, 2025, 3:37:41 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is apimanagerredirect.vercel.app.

Submitted URL: https://apimanagerredirect.vercel.app/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate redirect page with no detected threats.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page appears to be a simple redirect service with no suspicious content
Domain age information unavailable

Details

Page Title

Redirect Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'apimanagerredirect.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'apimanagerredirect'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at three characters. 'ver' is most common in Portuguese usage. Secondary signals appear in Portuguese (Brazil) and Galician. Overall, 'apimanagerredirect.vercel.app' reads as Portuguese.

Screenshot

Security scan screenshot of https://apimanagerredirect.vercel.app/

Page Load Overview

21.35s
Total Load Time
8
HTTP Requests
1
Domains
91 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:13 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.3United States
AS16509AMAZON-02
4216.198.79.3United States
AS16509AMAZON-02
82--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2812E75AC05DE0BDC666E4E117EAD3A14CD883E86A8C96897CCCE0806429BD9B96CC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nGWfZuCkna0gg7c532vg57cg1xqzcfxm2mfEJ9cfnj85:GWfZurnm32vgnqzcJmZE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4107:IBAAIgsIBGBxBCgAAQQwIw0AEICJAgACCAAEABgAhgxCCARAATAagLgAAAAgAAEC4CAIAIAAIECAAEAaAADE4ACQEAIIakYC

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#bfd279

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data