Security Scan Report: gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev

Submitted: Jun 18, 2026, 8:41:50 AMCompleted: Jun 18, 2026, 8:43:07 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev and was registered NaN years ago.

Submitted URL: https://gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev/a61b5ed9623f1a6e?email=x

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Adobe Acrobat Sign but lacks credential collection; moderate risk due to brand impersonation and unknown subdomain age.

Risk Factors
Brand impersonation of Adobe
Unranked / low‑reputation domain
Unknown subdomain age on hosting platform
Anti‑analysis JavaScript (devtools/right‑click blocking)
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript YARA matches
No network IDS alerts or external IoC matches
Domain age information unavailable

Details

Page Title

Adobe Acrobat Sign

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain name 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account'. Its registrable label 'workers' stretches across 7 characters with 2 vowels and 5 consonants. Word splitting yields one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev/a61b5ed9623f1a6e?email=x

Page Load Overview

0.58s
Total Load Time
7
HTTP Requests
3
Domains
29 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:507 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
government public service
56%
documentation technical
49%
healthcare medical
44%
finance banking
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.14.95United States
AS15169Google LLC
3188.114.97.3United States
AS13335Cloudflare, Inc.
72--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E72D075E0F302744EB91E64647BBFCD4C25285DE8103410F61ABF4026A663A2F92D6F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fcvsHPUFaqfJN/u7Wc9pKw+dZVK/6gToh2:kvsHsFaaTsr7+DVK9Toh2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16552:CgGIgxWUX+E2aQK5gICgH0EAxDIjQJoQQQkoBAKAEJCdsWZ0FQIM0gTBAMVLAQHmDPKLhEQgSBACEAOLKDfCbJYEYAEBQR6G

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:9f9fffd1d1d99b1f
Perceptual Hash:ed96969669699292
Difference Hash:7274b63333333330
Wavelet Hash:1f1f5f1111111f1f
Color Hash:#536fac

Other Hashes

Scan History

Scan history not available

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