Security Scan Report: 1wait-wait-wait.vercel.app

Redirected to:
https://www.google.com/
Site favicon
Submitted: Sep 19, 2026, 7:51:19 AMCompleted: Sep 19, 2026, 7:51:40 AMpubliccompleted

This website contacted 15 IPs in 1 country across 6 domains to perform 41 HTTP transactions. The main domain is google.com and was registered 18 years ago.

Submitted URL: http://1wait-wait-wait.vercel.app

Effective URL:

https://www.google.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Free vercel.app subdomain with a single unverified phishing report and abused-hosting IDS alerts, but it redirects to the official www.google.com and serves no credential or payment form. Weak, uncorroborated signal.

Risk Factors
Free vercel.app subdomain of unknown creation date used as the entry point
Single-source, unverified phishing report against the entry domain
Actor-abused cloud hosting service domain flagged in DNS/TLS SNI (MEDIUM IDS alerts)
Encoding/decoding functions in inline scripts on the redirecting entry page
Safety Factors
Final URL resolves to the official www.google.com domain
Served content matches genuine Google services rather than a look-alike page
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Domain Name Analysis

Domain '1wait-wait-wait.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain '1wait-wait-wait'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://1wait-wait-wait.vercel.app

Page Load Overview

2.86s
Total Load Time
922 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,592 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content56% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
56%
education learning
41%
documentation technical
39%
social media network
36%
news media journalism
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.127.84Google · CDNUnited States
AS15169Google LLC
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.127.138Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.154.119Google · CDNUnited States
AS15169Google LLC
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
2142.251.155.119Google · CDNUnited States
AS15169Google LLC
2142.251.151.119Google · CDNUnited States
AS15169Google LLC
4115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1954595CF9230A03FF973A4F6E990ED4EF2884DD1E64A4576BC71A91342EE5A61761330

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:KCrq3j6/8+Oq3j6/8+Iq3j6/8+tq3j6/8+eq3j6/8+BIsQISNt1/oGoUcKqo6/8q:KCKIaGoUcVjTbSq1OdwPANJURxX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1236346:NhBqkGiSyksBUTEMZAGFQ3RBxFIuzbRoHTgACFKiAj2CFFAZMAsiwgAcCHBMQskHY7UMBSQAQCYgVSHRJPSXQCpAmIxCCidD

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:00003c1e78380000
Perceptual Hash:ca9665693034cfc7
Difference Hash:0040603c43630400
Wavelet Hash:00007e5e7a7ac3c3
Color Hash:#756ce0

Other Hashes

Crop Resistant:0040603c43630400

Scan History

Scan history not available

Unable to load historical scan data