Security Scan Report: update.onlineappbdo.workers.dev

Submitted: Dec 30, 2025, 6:14:03 AMCompleted: Dec 30, 2025, 6:15:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is update.onlineappbdo.workers.dev and was registered NaN years ago.

Submitted URL: https://update.onlineappbdo.workers.dev/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No suspicious content or forms
Domain age information unavailable

Details

Page Title

404 Error - Page Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(76%)

Domain Information

The domain name 'update.onlineappbdo.workers.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'update.onlineappbdo'. Count 7 characters in 'workers' holding two vowels versus five consonants. It segments into one word: workers. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://update.onlineappbdo.workers.dev/

Page Load Overview

1.17s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
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:79 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism76% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
76%
government public service
68%
adult content
64%
healthcare medical
62%
real estate property
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3United States
AS13335CLOUDFLARENET
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4314C4E8AF31541B84B64B42BF663503695C453C94BDD353D4C63E0CF8879499D738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hREcR/S/iNi2RS6K8bLKd8iZm/Pqs1FTpLKB0uDhF8:TEcxNxKMKdx431ZNKB7A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1645:AAAEBAABiABJAgAEAABIEABEAAAAAAAAABAAAEEAAoAAABACQAEAgAAAAAAAIAAAAJAAAAYQAABgCAAAAhIBEAQgCAAAAAAE

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:e7e7ffffffffffff
Perceptual Hash:b23626666666cecc
Difference Hash:0c0c000000000000
Wavelet Hash:e4e4f0f0f0f0f0f0
Color Hash:#3a7862

Other Hashes

Crop Resistant:0c0c000000000000

Scan History

Scan history not available

Unable to load historical scan data