Security Scan Report: api.egoiapp.com

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Submitted: Feb 8, 2026, 9:02:48 PMCompleted: Feb 8, 2026, 9:04:10 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is api.egoiapp.com and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #745,180 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain with minimal risk category
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
No detected malware or phishing indicators
Domain age information unavailable

Details

Page Title

api.egoiapp.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'api.egoiapp.com' uses the commercial generic top-level domain (.com), featuring subdomain 'api'. The core label 'egoiapp' covers 7 characters split between four vowels and three consonants. It segments into three words: ego, i, app. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.50s
Total Load Time
7
HTTP Requests
2
Domains
1 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:25,132 chars
Detector Agreement:67%

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
794.46.251.202Matosinhos Municipality, Porto, Portugal
AS41962Miguel Goncalves Unipessoal Lda
71--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8Oldq:2hoC9JSqzzbs6o3Sj3gcrsG2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184466:IASuGzB5BJTiKRwkTIEAjZFIBgCBIIg5kUBgsIMA00QUM0EhDAAQjnOwlgIACFCDRBhkEGQJwHQdSLdAIgAhhRE46rAWABJj

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3c1c000cf0f0f0f0
Color Hash:#ac6253

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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