Security Scan Report: apps2.aim-data.com

Submitted: Feb 11, 2026, 12:38:06 PMCompleted: Feb 11, 2026, 12:40:05 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 apps2.aim-data.com and was registered NaN years ago.

Submitted URL: https://apps2.aim-data.com

The Cisco Umbrella rank of the primary domain is #405,727 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain (registered 2009)
Low risk indicator count (0)
No credential or payment collection mechanisms
No external domains or redirects
No malicious Indicators of Compromise or malware detected
Domain age information unavailable

Details

Page Title

apps2.aim-data.com

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'apps2.aim-data.com' is registered and includes subdomain 'apps2'. The core label 'aim-data' covers 8 characters containing four vowels alongside three consonants, notching one hyphen. Tokenizing the label suggests two words: aim, data. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps2.aim-data.com

Page Load Overview

2.26s
Total Load Time
1
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
1139.162.145.52Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
11--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Oldu:XhoC9JSqzzbs6o3Sj3gcrsa2eAU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184481:YZBIAspIQoEggAKQCQAEF0Z6YZwgkQAKEeYJkVwBTbhYO3+UKkEagxYYLA+QAMxwACAAKgmagYIShQQUiYQSAQBFAhIACW4A

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:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#3a4178

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data