Security Scan Report: rc-api.wondershare.cc

Submitted: Feb 6, 2026, 5:24:47 AMCompleted: Feb 6, 2026, 5:26:51 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 rc-api.wondershare.cc and was registered NaN years ago.

Submitted URL: https://rc-api.wondershare.cc

The Cisco Umbrella rank of the primary domain is #28,726 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>13 years)
High Cisco Umbrella ranking (top 30k)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

rc-api.wondershare.cc

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'rc-api.wondershare.cc' uses the .cc country-code top-level domain; it also runs on subdomain 'rc-api'. The core label 'wondershare' covers 11 characters holding 4 vowels versus 7 consonants. Segmentation suggests 2 words: wonder, share. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rc-api.wondershare.cc

Page Load Overview

16.64s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:29 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
247.254.129.171Frankfurt am Main, Hesse, Germany
AS45102Alibaba US Technology Co., Ltd.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszG2bMy8OldS:OhoC9JSqzzbs6o3Sj3gcrsy2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184496:CkEgA7EeCIEGT/FkjxgI5g4jZiGAMAcpgMdESAoLkIEFM4fAJBChDERiEK4EJwBoAAHIMNgZJRUCQIbgMZkCAZyiyRYxEIAd

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:ffdfc3cf00000000
Color Hash:#74783a

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data