Security Scan Report: eri0-dreayi.vercel.app

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://eri0-dreayi.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake LinkedIn sign-in page on a free vercel.app subdomain, collecting email and password. Confirmed by Safe Browsing social engineering, a LinkedIn-specific phishing IDS signature, and multi-feed phishing threat intelligence. Do not enter credentials.

Risk Factors (5)
Brand impersonation of LinkedIn on an unrelated, unranked vercel.app subdomain
Credential-harvesting login form (email/phone + password) presented under another company's branding
Google Safe Browsing social-engineering (phishing) detection
HIGH-severity IDS phishing signature specific to LinkedIn phishing landings
Multi-source corroborated phishing threat-intelligence match on the primary domain
Domain age information unavailable

Details

Page Title

LinkedIn Login, Sign in | LinkedIn

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'eri0-dreayi.vercel.app' is registered, featuring subdomain 'eri0-dreayi'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Linked{i] Sign in Email or phone | | Password show | Forgot password? New to LinkedIn? Join now

Page Load Overview

0.17s
Total Load Time
62 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:132 chars
Detector Agreement:90%

All Detected Languages

🇺🇸en(90%)🇩🇪de(10%)

Website Classification

Primary Category

social media network90% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
90%
news media journalism
27%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
35--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174C3C7746791607D40BEE624CA5E9122B995DDA301082CBEBFADEF685F2134780F7F24

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QgpQXBtBDP1rnjgUr6i+TFoHmx1bChdokHJ+Db:QMQRLDtAUrn+TFoHUbodN0f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121695:G2BgEQEIJtUUhxCQCwyUEgIQgSRKCxGkKkcbCggBkQAJVAKBimB6gMQQRcgPKgw5iUMxGUVB0pTAwCISIEyiKAoAABqIpC0Y

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:7fffefefe7e7ffff
Perceptual Hash:b3998c2627993337
Difference Hash:c00008104d0c0008
Wavelet Hash:7cfce4e424243c3c
Color Hash:070000001c0

Other Hashes

Crop Resistant:c00008104d0c0008

Scan History

Scan history not available

Unable to load historical scan data