Security Scan Report: aplus.qwen.ai

Submitted: Mar 18, 2026, 11:30:19 PMCompleted: Mar 18, 2026, 11:32:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is aplus.qwen.ai and was registered NaN years ago.

Submitted URL: https://aplus.qwen.ai

The Cisco Umbrella rank of the primary domain is #95,195 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; the site appears legitimate and low risk.

Safety Factors
Well‑established domain (>2 years)
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Low JavaScript obfuscation (standard minification only)
Domain age information unavailable

Details

Page Title

aplus.qwen.ai (1×1)

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the Anguillan country-code top-level domain (.ai), 'aplus.qwen.ai' is registered with subdomain 'aplus'. The registrable portion 'qwen' spans 4 characters with 1 vowel and three consonants. It segments into 2 words: q, wen. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aplus.qwen.ai

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:19 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
28.211.36.15Frankfurt am Main, Hesse, Germany
AS45102Alibaba US Technology Co., Ltd.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3E0F823C083AA89E81291F9CCE0E6082AA380808B840F087ABDB092F5C889064320CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:q/o0H/fAbploUttkHYKkX96v6Oq5Ss/0KZGbRadUqYYl91fqMLeTPFTR5svL7tLo:3uAYUzQY3kvEZ//B1fqMW4Lha

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:61f03a7044f7c31565b1d08a6de2909d

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0c0c3c3cf8f8f0f0
Color Hash:#879cc5

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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