Security Scan: Citas CR

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/9be4a4e4-497f-4a70-a8a2-771b68921931 Domain and IP registration (RDAP)/api/v1/rdap/9be4a4e4-497f-4a70-a8a2-771b68921931How often this domain was scanned/api/v1/domain/stats/formulario-cita-digital-arghjk-2026.cr-web.workers.dev Scan history for this domain/api/v1/domain/history/formulario-cita-digital-arghjk-2026.cr-web.workers.dev?limit=15

This website contacted 2 IPs in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://formulario-cita-digital-arghjk-2026.cr-web.workers.dev

AI Security Verdict

High Risk

Confidence: 85%

Risk Score

Google Safe Browsing flags this workers.dev page for social engineering; it poses as Costa Rica's national digital-certification service to lure users into registering. Treat as phishing impersonation and avoid.

Risk Factors (4)

Google Safe Browsing Social Engineering detection

Impersonation of a government digital-certificate authority on a non-official domain

Deceptive, randomized subdomain on a free hosting platform

Recruitment of users into a registration flow under a false official pretext

Domain age information unavailable

Details

Page Title

Citas CR

Scan Type

public

Domain Name Analysis

You're looking at domain 'formulario-cita-digital-arghjk-2026.cr-web.workers.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'formulario-cita-digital-arghjk-2026.cr-web'. Count 7 characters in 'workers' split between 2 vowels and five consonants. Tokenizing the label suggests one word: workers. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

0.65s

Total Load Time

430 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:43%

Script:Latin

Direction:ltr

Detection Details

Text Length:105 chars

Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain59% confidence

Type: dynamic

Method: ml+structural

All Detected Categories

cryptocurrency blockchain

59%

phishing scam

59%

adult content

51%

government public service

50%

finance banking

47%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
10	172.67.191.247Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
9	104.21.33.193Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
19	2	-	-

Detected Technologies4

HTTP/3

40%

Cloudflare Bot Management

40%

Cloudflare

40%

React

30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A5141D2DD4BCE3A04176D9DB41BAF1EA44AC52EC978884CB6FCD59C02A5F9E0E0ED44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Xsz4GoGmeq7OPQdjuMHTay7CC767aYlpGdHmk4U9AtydEPKjMo340o3/SRv0ZlBC:XlPCq7uxiYjxk46SydEoQSRv0v1nu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2681:gACAgQAQBAAAgQJYMIAAgAAQcACDIAAAAAAAAAAAAAAAABBRgEAAAhBhCmDYAjAAIgIAAwAABgABAAABIAgAAAKFkEAAAAEA

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:ff00761001456040

Perceptual Hash:e2bed5aad9c4c0c1

Difference Hash:4d0d84e5918d8cde

Wavelet Hash:ff01771341f76242

Color Hash:#783a45

Other Hashes

Crop Resistant:4d0d84e5918d8cde,19ac665a4e3636a7,6662c9d7abab3818,c1c0c286d0e8f978,6d84a47199ad8cde

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: formulario-cita-digital-arghjk-2026.cr-web.workers.dev