Security Scan Report: api.geoproapp.com

Submitted: Dec 3, 2025, 12:54:43 AMCompleted: Dec 3, 2025, 12:56:54 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api.geoproapp.com and was registered NaN years ago.

Submitted URL: https://api.geoproapp.com/

The Cisco Umbrella rank of the primary domain is #29,942 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain age
High Cisco Umbrella ranking
Absence of credential or payment forms
No malicious Indicators of Compromise
No phishing or malware signals
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'api.geoproapp.com' uses the commercial generic top-level domain (.com) with subdomain 'api'. The core label 'geoproapp' covers 9 characters split between four vowels and five consonants. Breaking it apart gives 3 words: geo, pro, app. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.geoproapp.com/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:15 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3United States
AS13335CLOUDFLARENET
0188.114.96.3United States
AS13335CLOUDFLARENET
02a06:98c1:3120::3United States
AS13335CLOUDFLARENET
02a06:98c1:3121::3United States
AS13335CLOUDFLARENET
24--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7C08072C470011665725FDCCD82A55C4FCDBB0DD4324D41B5C8E4A4DDD7956C403684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLtlYsmS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96Cl5mNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ae93d2a7c816142defe573f4905967f2

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:00ffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:c000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#3a7778

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data