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

Submitted: Jun 8, 2026, 5:53:24 PMCompleted: Jun 8, 2026, 5:54:40 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site mimics Adobe Acrobat Sign but lacks credential collection; treat as moderate risk and avoid providing personal data.

Risk Factors (3)
Brand name displayed on unranked domain
Subdomain on hosting platform with unknown age
Anti‑analysis JavaScript (devtools/right‑click blocking)
Domain age information unavailable

Details

Page Title

Adobe Acrobat Sign

Scan Type

public

Domain Name Analysis

Domain 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account'. Its registrable label 'workers' stretches across 7 characters containing two vowels alongside five consonants. It segments into 1 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

0.39s
Total Load Time
55 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
47%
healthcare medical
44%
finance banking
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.97.3United States
AS13335Cloudflare, Inc.
71--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0C080B7E451440D5F3119F9CA8274549E44511CC1211F8075D0F198E445D674043198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYrRbuk40qa:qzxV/5VHHoB96D3ne1k9YrG8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:026ea37c9437e860f0e1af8e4c052f14

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#bf6ce0

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data