Security Scan Report: taskboard-azelythor-d560.s2499621.workers.dev

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 5 domains to perform 24 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://taskboard-azelythor-d560.s2499621.workers.dev/analysis_center/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Meta 'Page Appeal' phishing page on a workers.dev subdomain that collects Facebook password, phone and 2FA codes and can exfiltrate them via an embedded Telegram bot token.

Risk Factors (5)
Impersonation of Meta / Facebook brand on a domain unrelated to Meta
Credential and two-factor authentication code collection (password field, SMS/authenticator code, phone number)
Embedded Telegram bot token enabling exfiltration of submitted data
Account-deletion/deadline pressure lure typical of phishing kits
Free shared-hosting subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Meta for Business - Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'taskboard-azelythor-d560.s2499621.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'taskboard-azelythor-d560.s2499621'. The core label 'workers' covers 7 characters split between two vowels and 5 consonants. Breaking it apart gives 1 word: workers. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://taskboard-azelythor-d560.s2499621.workers.dev/analysis_center/

Page Load Overview

0.50s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,051 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
74%
corporate business
59%
technology software
44%
government public service
33%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.4.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.5.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
248--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14884E7221694316E1327C6FA712767F7E25A0C1B79490A05F55CBFA06FEAC53F8AB030

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Ez47t6YEc3MUb6w88XtofDXK+UMBbCBbdB5gaOegogED/BlsT/CV9+EJ8r+ulY7W:EzhbUb6wlufDXK/2b0bLgED/BlsUiF8M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:380083:EwFmAIBGQ2FWkpgUBFFgzLVkwOAQxoZFCjsZApQjAKdgoAFAGALAZQAIcR26gAyGJGmbMAY8LAICwYAAiIUAqSQlKAgikRh3

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:8383e7e3e3f7f7f3
Perceptual Hash:e438986c67c3c3c7
Difference Hash:2e3e0e2606070607
Wavelet Hash:838383c3c3c7e3e3
Color Hash:N/A

Other Hashes

Crop Resistant:2e3e0e2606070607

Scan History

Scan history not available

Unable to load historical scan data