Security Scan Report: gakusei-kanri-git-docs-settings-matrix-placz-group2.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fg...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 7 domains to perform 132 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://gakusei-kanri-git-docs-settings-matrix-placz-group2.vercel.app/

Effective URL:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fg...
Redirected

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Preview deployment behind Vercel's own login gate; final URL is the official vercel.com login page. No impersonation, no exfiltration, no malware signals. IDS hits are generic cloud-host abuse reputation only.

Safety Factors (4)
Final URL is vercel.com, the official domain of the platform serving the page (entry-domain ranking/age not used as a safety claim).
Page is the hosting provider's own authentication gate, not site-authored credential collection.
No password/payment fields on the scanned page beyond Vercel's own first-party login; no exfiltration observed.
Clean threat intelligence, YARA, kit roster and JavaScript behavioural analysis.
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

The domain 'gakusei-kanri-git-docs-settings-matrix-placz-group2.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'gakusei-kanri-git-docs-settings-matrix-placz-group2'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gakusei-kanri-git-docs-settings-matrix-placz-group2.vercel.app/

Page Load Overview

1.89s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:255 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2464.239.123.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.127.84Google · CDNUnited States
AS15169Google LLC
1864.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1834.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
18216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.127.138Google · CDNUnited States
AS15169Google LLC
1327--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A747228B105ED69ECEB6C4F227DAC3B264EA173DD82ECB5E4D8C91541C6075A792FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fQx8885OcT0+mmQcuG7YuQb7jNiNU6bPMfemQONiVU6ZPMj7OQleu:fQxI2ZaQlL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:347253:p6kmwyDwHAlASNEgDAgIXGJggDEg4LSFRVkiBt7gAbBUBRB4MFQGAI6xCMhlSTBCwOZMS/QC3l9HTYfBcDUSFLCiRQgCgDhE

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:ffffe7e7e7e7ffff
Perceptual Hash:b3268c88d9336677
Difference Hash:80284d4c080c0800
Wavelet Hash:60e0e0e0e3e3c7c7
Color Hash:#d279b6

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data