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

Submitted: Jul 5, 2026, 1:15:43 PMCompleted: Jul 5, 2026, 1:17:29 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk site impersonating Adobe Acrobat Sign; known attacker subdomain with no legitimate forms – avoid and report.

Risk Factors (4)
Unranked / low‑reputation domain
Unknown subdomain age on hosting platform
Brand impersonation without legitimate affiliation
DevTools and 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), featuring subdomain 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account'. The second-level label 'workers' is 7 characters long holding two vowels versus 5 consonants. It segments into 1 word: workers. Average segment length settles at 7 characters. 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/

Page Load Overview

0.56s
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 software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
government public service
57%
documentation technical
49%
healthcare medical
44%
finance banking
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
3188.114.97.3Cloudflare · WAFUnited 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

T10C72C0F0F89364E043F21A7D38ADB7BC5CB664781482B290E5206C44DD66C59DA9EEF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:8bptIcoB277DlMTWnNpnjH2J7r430Uj6cR5+NygToh2:CmIxjWJX437j9RU9Toh2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16552:LKkYgiAkAMEfxlEUwxykEQioYEIUEbA/AYIAgDAJqxCwJIESZEpqKUiWWgS01QAjrFZIBACAweBTMQXBaAGADYQDCIY6SSFY

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:#79d292

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data