Security Scan Report: stats-api.flockler.app

Submitted: Dec 3, 2025, 12:24:15 AMCompleted: Dec 3, 2025, 12:26:22 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is stats-api.flockler.app and was registered NaN years ago.

Submitted URL: https://stats-api.flockler.app/

The Cisco Umbrella rank of the primary domain is #77,975 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well‑established domain
No credential or payment collection
No malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'stats-api.flockler.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'stats-api'. The second-level label 'flockler' is 8 characters long containing 2 vowels alongside 6 consonants. Tokenizing the label suggests two words: flock, ler. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stats-api.flockler.app/

Page Load Overview

0.14s
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:42 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
299.84.152.55United States
AS16509AMAZON-02
299.84.152.26United States
AS16509AMAZON-02
099.84.152.6United States
AS16509AMAZON-02
099.84.152.99United States
AS16509AMAZON-02
24--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134D022B2C060090A97335BECEE82B1888FC5B20D94710D01BDC0E4E889CB91AC653284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RAIX/GZR49aLVAL4jS8K4FLfRRyIdlJ:qzxV/5VHHQYk/B96OGvvVljNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1053a2377f24eca8e909aadbde60b2a2

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:991d1d1d1f0f0747
Difference Hash:f020000000000000
Wavelet Hash:00ffcfcf00000000
Color Hash:#3ad22d

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data