Security Scan Report: api.flockler.app

Submitted: Nov 27, 2025, 11:54:38 PMCompleted: Nov 27, 2025, 11:58:28 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api.flockler.app and was registered NaN years ago.

Submitted URL: https://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

No security concerns detected; the site appears legitimate.

Safety Factors
Well-established domain (over 6 years old)
Cisco Umbrella ranking within top 100k
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No brand impersonation or health‑related claims
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'api.flockler.app' on the application-focused generic top-level domain (.app) with subdomain 'api'. Its registrable label 'flockler' stretches across 8 characters containing 2 vowels alongside six consonants. It segments into two words: flock, ler. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
1 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
218.172.112.28United States
AS16509AMAZON-02
218.172.112.26United States
AS16509AMAZON-02
02600:9000:2761:8e00:1:1ee4:a40:93a1United States
AS16509AMAZON-02
02600:9000:2761:7600:1:1ee4:a40:93a1United States
AS16509AMAZON-02
02600:9000:2761:b200:1:1ee4:a40:93a1United States
AS16509AMAZON-02
02600:9000:2761:a000:1:1ee4:a40:93a1United States
AS16509AMAZON-02
018.172.112.18United States
AS16509AMAZON-02
02600:9000:2761:de00:1:1ee4:a40:93a1United States
AS16509AMAZON-02
02600:9000:2761:5200:1:1ee4:a40:93a1United States
AS16509AMAZON-02
02600:9000:2761:ac00:1:1ee4:a40:93a1United States
AS16509AMAZON-02
212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7C08072C420011651325ADCCD82E54C4FC9B20D94314D41B5C0E494C9D7916C4032C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6igS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B969NdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:cb23b04cc86c2b77c975ca38f83bb12b

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:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#797cd2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data