Security Scan Report: i-appie-encontrar.help

Submitted: Feb 8, 2026, 9:57:08 AMCompleted: Feb 8, 2026, 9:58:41 AMpubliccompleted
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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 i-appie-encontrar.help and was registered NaN years ago.

Submitted URL: https://i-appie-encontrar.help/expire/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

New, unranked site currently unreachable; no malicious signs but exercise caution.

Risk Factors
Very new domain (<30 days)
Unranked domain (not in top 1M)
Site unreachable / connection error
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

i-appie-encontrar.help

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

You're looking at domain 'i-appie-encontrar.help' on the .help top-level domain. The second-level label 'i-appie-encontrar' is 17 characters long holding 7 vowels versus 8 consonants; it also includes two hyphens. It segments into six words: i, ap, pie, en, contra, r. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://i-appie-encontrar.help/expire/

Page Load Overview

8.09s
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:762 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
61%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
162.171.135.36Frankfurt am Main, Hesse, Germany
AS51167Contabo GmbH
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8OldQ:PhoC9JSqzzbs6o3Sj3gcrsu2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184522:DwjEyfRMMSyIkErApAgwUmADQKgAwSI1AJQAhXAQYk2VRBKwGKqBTqHkB4AjowCwHgCdACj4oR8BqJdBACFQGqKEIJkBYKTE

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#9ae06c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data