Security Scan Report: t-ulog.wr.kwai-pro.com.akadns.net

Submitted: Mar 21, 2026, 8:17:26 AMCompleted: Mar 21, 2026, 8:19:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is t-ulog.wr.kwai-pro.com.akadns.net and was registered NaN years ago.

Submitted URL: https://t-ulog.wr.kwai-pro.com.akadns.net

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain age
Absence of login or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No IDS alerts
Domain age information unavailable

Details

Page Title

Welcome to tengine!

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

technology software

(46%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 't-ulog.wr.kwai-pro.com.akadns.net' is registered; it also runs on subdomain 't-ulog.wr.kwai-pro.com'. The core label 'akadns' covers 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: aka, dns. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t-ulog.wr.kwai-pro.com.akadns.net

Page Load Overview

2.53s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:261 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%
e-commerce shopping
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.10.90Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CF0203ECAC2004678809300B8A063123B1042EB0324CA1075CF0A90FF05715F7276B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:haxnuIRqwNFDvNbJw4xxLvXKCf0ktEjo+Y/oiszoxWgXOj:haRnnjbJwUXD05oP/LWg+j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:553:AQQAAAAAgAAACAAQIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAACAAEAAAAgAAAAAAAAAAAAAAAIAAAAAAAABAAACIEAAAAAA

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:c7c7ffffffffffff
Perceptual Hash:b333333333339989
Difference Hash:1c1c000000000000
Wavelet Hash:c4c0ccccf0f0f0f0
Color Hash:#b9e06c

Other Hashes

Crop Resistant:1c1c000000000000

Scan History

Scan history not available

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