Security Scan Report: app.usaautobot.workers.dev

Redirected to: https://app.usaautobot.workers.dev/

Submitted: Dec 15, 2025, 2:10:46 PMCompleted: Dec 15, 2025, 2:11:16 PMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 10 HTTP transactions. The main domain is app.usaautobot.workers.dev and was registered NaN years ago.

Submitted URL: http://app.usaautobot.workers.dev/

Effective URL: https://app.usaautobot.workers.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain
Hosted on reputable Cloudflare Workers platform
No malicious Indicators of Compromise
No credential or payment fields
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(72%)

Domain Information

Domain 'app.usaautobot.workers.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'app.usaautobot'. The registrable portion 'workers' spans 7 characters containing two vowels alongside five consonants. Breaking it apart gives 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://app.usaautobot.workers.dev/

Page Load Overview

2.59s
Total Load Time
10
HTTP Requests
1
Domains
N/A
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:343 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3UnknownUnknown
2188.114.96.3UnknownUnknown
22a06:98c1:3120::3UnknownUnknown
22a06:98c1:3121::3UnknownUnknown
104--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F12E939E794527EE81BE3E8C720A3A431CE90EDE561627450E8C35B43E2ADEC947640

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MmyJE8uBAmiyI64LluORE3fYOy9DKUZfrP179I+q+NVXzvoEt:JpVBAmiyI64LluOgd+DVfD179H3PX0Et

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9908:oAQHGVQHgQCpIejcLUKREASQIAgBSKSwAQMI8gAK4QxDmIwgicEgJIDkuAECdhkgFAjohgCdFkAJDjY4CiQIEiFQ2YuEIOEI

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:fe001c4c8c2c0000
Perceptual Hash:d19964c6b199cec6
Difference Hash:0004305858580400
Wavelet Hash:fe80bc8c8ebe8282
Color Hash:#b587c5

Other Hashes

Crop Resistant:0004305858580400

Scan History

Scan history not available

Unable to load historical scan data