Security Scan Report: count.darkreader.app

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Submitted: Mar 6, 2026, 9:55:19 PMCompleted: Mar 6, 2026, 9:57:06 PMpubliccompleted
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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 count.darkreader.app and was registered NaN years ago.

Submitted URL: https://count.darkreader.app

The Cisco Umbrella rank of the primary domain is #119,033 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'count.darkreader.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'count'. Its registrable label 'darkreader' stretches across 10 characters holding 4 vowels versus six consonants. It segments into 2 words: dark, reader. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://count.darkreader.app

Page Load Overview

0.44s
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:2 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
213.248.213.92United States
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140C08CB6C020480EAB3026F8CD8278A49F04920CC2221E80B6D0A2A4E448AB78083298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYh0qa:qzxV/5VHHoB96D3ne1k9Yh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d20f17969db81f5187d249d7377f4768

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:800001030fffffff
Difference Hash:0000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#5354ac

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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