Security Scan Report: syskit-whatsapp.com

Redirected to:
https://syskit-whatsapp.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is syskit-whatsapp.com and was registered 1 week ago.

Submitted URL: http://syskit-whatsapp.com

Effective URL:
https://syskit-whatsapp.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Broken page showing only a PHP fatal error on a 7-day-old domain whose name invokes WhatsApp; no forms, scripts or malware indicators found, so risk is limited to the suspicious name and dead hosting.

Risk Factors (2)
Domain name suggests association with the WhatsApp brand on a 7-day-old, unrelated host with no brand-owned content
Site returns a fatal PHP error pointing at another domain's web root, indicating abandoned or misconfigured hosting rather than a maintained service
Safety Factors (4)
No credential, login, email or payment fields present — nothing is being collected
No obfuscated or malicious JavaScript, no external script hosts, no cross-origin network targets
No YARA, kit-roster, IDS or Safe Browsing indicators of malware or phishing
Threat-intel matches are single-source, unverified abuse-reputation tags that do not describe this page's content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'syskit-whatsapp.com' is registered. Its registrable label 'syskit-whatsapp' stretches across 15 characters holding three vowels versus 11 consonants; it also includes 1 hyphen. Breaking it apart gives five words: sy, skit, what, s, app. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://syskit-whatsapp.com

Page Load Overview

2.78s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:269 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
40%
news media journalism
34%
government public service
30%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEE026F90634E3F9AC102847B74762CD232342164F8365D83F80C45C1C99CA85C2FA8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96En0HHz5UTG5bTJ9SKsdPH4VjVsH5sdPHkT9mIEpkXcsdPH075Kt4qqz:kxPEnuzOGFiPQ5sHiPMmIEpMcAPI5Kt4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:22164f8b84c22c3e3e250b2281aee6a7

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:00ffffffffffffff
Perceptual Hash:ea6a6a6a6a6a4a6a
Difference Hash:9500000000000000
Wavelet Hash:007f0f0f0f0f0f0f
Color Hash:#693a78

Other Hashes

Crop Resistant:9500000000000000

Scan History

Scan history not available

Unable to load historical scan data