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Security Scan Report: u.t2024l.workers.dev

Redirected to:
https://datastudio.google.com/overview
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/53deea2c-9b97-4177-b7ad-064faa2536bbDomain and IP registration (RDAP)/api/v1/rdap/53deea2c-9b97-4177-b7ad-064faa2536bbHow often this domain was scanned/api/v1/domain/stats/u.t2024l.workers.devScan history for this domain/api/v1/domain/history/u.t2024l.workers.dev?limit=15
This website contacted 13 IPs in 1 country across 9 domains to perform 18 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: http://u.t2024l.workers.dev/

Effective URL:
https://datastudio.google.com/overview
Redirected

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Safety Factors (3)
Final destination is the legitimate brand-owner domain datastudio.google.com
Clean threat intelligence, JavaScript and network-signal results
Page content matches the official product it describes
Domain age information unavailable

Details

Page Title

Data Studio Overview

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'u.t2024l.workers.dev' is registered; it also runs on subdomain 'u.t2024l'. Count 7 characters in 'workers' split between 2 vowels and 5 consonants. Tokenizing the label suggests one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://u.t2024l.workers.dev/

Page Load Overview

1.03s
Total Load Time
341 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,087 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software42% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.14.113Google · CDNUnited States
AS15169Google LLC
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.139Google · CDNUnited States
AS15169Google LLC
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
1192.178.183.207Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1813--

Detected Technologies2

Google-AnalyticsvUniversal
100%
Google Analyticsvga4
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156915373A9E4243B0753D1C036A6BB5CEDE3E007EA885C9171ED01905BE3ED3C41B646

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nhdtUry/1q/jtgagCwSsYmYmrpSRH4xKuSZd5D6mKp:hsry2xwFYCSp4xMd5DZKp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4361:AMIBAlIIEAAAACFgAEYAAAAJIwSYBQAQWEPATAAokoYoEESUCKIAAKIAIAAARgDIIAAAzKgMCASAAQCkAAAAAABCwACAAgAB

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:ff0000000008ffff
Perceptual Hash:ca0aa595d4e4e9b5
Difference Hash:f96961c5149100ad
Wavelet Hash:ff00002000feffff
Color Hash:#1f5393

Other Hashes

Crop Resistant:f96961c5149100ad,69696941e1141091

Scan History

Scan history not available

Unable to load historical scan data