Security Scan Report: cdn.qstv.on.epicgames.com

Submitted: Dec 3, 2025, 3:12:16 PMCompleted: Dec 3, 2025, 3:14:34 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cdn.qstv.on.epicgames.com.

Submitted URL: https://cdn.qstv.on.epicgames.com/

The Cisco Umbrella rank of the primary domain is #5,517 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
High Cisco Umbrella ranking indicates reputable domain
Absence of forms reduces credential harvesting risk
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'cdn.qstv.on.epicgames.com' uses the commercial generic top-level domain (.com) and includes subdomain 'cdn.qstv.on'. Its registrable label 'epicgames' stretches across 9 characters with 4 vowels and five consonants. Word splitting yields 2 words: epic, games. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cdn.qstv.on.epicgames.com/

Page Load Overview

0.26s
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:9 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
218.194.219.35Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
218.157.54.179Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
03.127.200.188Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
23--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129C080B6C011850D5B3015F4C982B5545E0C520DD1311F5075D0D194E444D67C08329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYyj2eB4Aoqa:qzxV/5VHHoB96D3ne1k9YyieBe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c39e44a7d28f7eb1d67d75c973dd35fc

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:c000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#3ad22d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data