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

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Submitted: Aug 22, 2026, 1:57:31 PMCompleted: Aug 22, 2026, 1:58:48 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Page hosts a known phishing kit impersonating Adobe, with multiple IDS and threat‑intel alerts – confirmed scam.

Risk Factors (4)
Brand impersonation of Adobe on untrusted .workers.dev subdomain
Phishing kit identified with device‑code OAuth lure
High‑severity IDS alerts for phishing activity
Threat‑intel match to known attacker domain
Domain age information unavailable

Details

Page Title

Adobe Acrobat Sign

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account.workers.dev' is registered; it also runs on subdomain 'gcpu-f2ej-mr21.philip-turnkeytalk-com-s-account'. Count 7 characters in 'workers' with two vowels and 5 consonants. Splitting it apart reveals one word: workers. Expect seven characters per word on average. 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

0.63s
Total Load Time
70 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 software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
government public service
59%
documentation technical
47%
healthcare medical
43%
finance banking
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
82--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B372BF71F839269857B19AF97A3E830424F51E90E4909080F23C3D86F8D5AC6C8E7EB5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nmJ6D+YOAsHEVOMqe7ZNzBAa0YCjYWFjX2OgToh2:mPJKOg1uaeJJXGToh2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16552:aQiGkKAAomBgYBcKAhoFXFEIgaCY0ICAACkMBYAQDuRIcA2VRAIogACgS4REAee1aQooRADg6BOQjjFJAUTGQMAOBIYnSsig

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:#4084bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data