ScanMalware.com

Security Scan Report: damp-sea-33a0.vabinchok.workers.dev

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/252e175d-9050-4dc0-b96b-587603fdd51fDomain and IP registration (RDAP)/api/v1/rdap/252e175d-9050-4dc0-b96b-587603fdd51fHow often this domain was scanned/api/v1/domain/stats/damp-sea-33a0.vabinchok.workers.devScan history for this domain/api/v1/domain/history/damp-sea-33a0.vabinchok.workers.dev?limit=15
This website contacted 6 IPs in 2 countries across 4 domains to perform 29 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://damp-sea-33a0.vabinchok.workers.dev/help

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Page impersonates Meta, collects credentials, and likely exfiltrates data – confirmed phishing scam.

Risk Factors (5)
Brand impersonation of Meta on a mismatched domain
Credential collection form with password field
Potential exfiltration via Telegram bot token
High‑severity IDS alerts
Unranked domain on shared hosting
Domain age information unavailable

Details

Page Title

Meta Verified for business | Verify your business on Facebook, Instagram and WhatsApp | Meta for Business

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'damp-sea-33a0.vabinchok.workers.dev' is registered; it also runs on subdomain 'damp-sea-33a0.vabinchok'. The registrable portion 'workers' spans 7 characters holding 2 vowels versus five consonants. Segmentation suggests one word: workers. The median word length lands at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://damp-sea-33a0.vabinchok.workers.dev/help

Page Load Overview

1.08s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:6,491 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate business51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
51%
social media network
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
434.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
296--

Detected Technologies4

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146D31990FB1D142A693702EE655872C8623ED433DD159CFBFEBB31214BCD8685EA2274

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0X66/e9hnsSOfpBJROqeLIHnoB4RlP1MIIgaDLEzy8Dt9t+yr6qEhFNdH3LA45V+:4OqeL6oBWP17HysMdHoOu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141607:lZEmAxwXgbCIGCnMERASAMQFQCJ9DTeAADyoYiSogIwoDEQgIExKOie0QEEQOCQMELSBNBRhADgrQwaYriJhMSEyGgvojAOQ

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:1818191918181818
Perceptual Hash:c99ab46532d8675a
Difference Hash:b2b373317333b3b1
Wavelet Hash:18d999999999d999
Color Hash:#2d3986

Other Hashes

Crop Resistant:b2b373317333b3b1,416766569b4b4b3e,6363a3a1819f2c8f,034545555c454503

Scan History

Scan history not available

Unable to load historical scan data