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LIMITED DATA

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Security Scan Report: dependencies.system.floqast.app

Submitted: Dec 13, 2025, 8:08:39 PMCompleted: Dec 13, 2025, 8:16:02 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dependencies.system.floqast.app and was registered NaN years ago.

Submitted URL: https://dependencies.system.floqast.app

The Cisco Umbrella rank of the primary domain is #78,887 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Well‑established domain with minimal reputation risk
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

dependencies.system.floqast.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain name 'dependencies.system.floqast.app' uses the application-focused generic top-level domain (.app) with subdomain 'dependencies.system'. The second-level label 'floqast' is 7 characters long split between 2 vowels and 5 consonants. It segments into three words: flo, qa, st. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dependencies.system.floqast.app

Page Load Overview

8.20s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:789 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
49%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
144.236.202.31Boardman, Oregon, United States
AS16509AMAZON-02
150.112.6.38Boardman, Oregon, United States
AS16509AMAZON-02
116.146.226.11United States
AS16509AMAZON-02
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8C08CB6C020480EAB3126F8CA8678949E08A20DC1221F44B6D0A1E5E448AA7808329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfC40qa:qzxV/5VHHoB96D3ne1k9Yq48

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:11180a4648c3de3318085ba67210d41e

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:81010103077fffff
Difference Hash:0000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#e0756c

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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