Security Scan Report: atm.im-apps.net

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Submitted: Jun 9, 2026, 2:07:39 AMCompleted: Jun 9, 2026, 2:09:25 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 atm.im-apps.net and was registered NaN years ago.

Submitted URL: https://atm.im-apps.net

The Cisco Umbrella rank of the primary domain is #3,347 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

unknown

(0%)

Domain Information

Domain 'atm.im-apps.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'atm'. The core label 'im-apps' covers 7 characters holding two vowels versus four consonants; it also includes 1 hyphen. Tokenizing the label suggests 2 words: im, apps. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://atm.im-apps.net

Page Load Overview

0.44s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:49 chars
Detector Agreement:100%

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
234.8.245.155Kansas City, Missouri, United States
AS396982Google LLC
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4D022BBC092190F9A3026F89D8639A4AF08A31C90320F50BEC091D8F404D6B40C31E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9YgmzRx3eY+CezoX:kxV7HdBWgmzRxnnezG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e3bc5cb43e7a88b2cad00d8f490d1fa4

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:3c1c000c0f0f0f0f
Color Hash:#b940bf

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data