Security Scan Report: www.eng650.vercel.app

Redirected to:
https://eng650.vercel.app/
Submitted: Oct 3, 2026, 8:50:57 AMCompleted: Oct 3, 2026, 8:51:32 AMpubliccompleted

This website contacted 9 IPs in 1 country across 8 domains to perform 11 HTTP transactions. The main domain is eng650.vercel.app and was registered 10 years ago.

Submitted URL: https://www.eng650.vercel.app/

Effective URL:

https://eng650.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake 'Webmail' credential-harvesting login on a free vercel.app subdomain, flagged by a CRITICAL Okta-style phishing-kit YARA rule with Telegram credential exfiltration and a HIGH IDS phishing alert. Do not enter credentials.

Risk Factors (5)
Critical-severity YARA malware rule for a known phishing kit with Telegram-based credential exfiltration
Credential harvesting form (email + password) behind a generic 'Web Mail' facade
HIGH network IDS phishing alert for a webmail phishing landing utilizing Clearbit
JavaScript posts to an external IP-lookup service (ipinfo.io) — kit-style victim fingerprinting
Hosted on a free instant-publishing subdomain whose true creation date is unknown; the parent platform's age is not attributable to this page
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Domain Name Analysis

Domain 'www.eng650.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.eng650'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.eng650.vercel.app/

Page Load Overview

1.51s
Total Load Time
200 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:98 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical48% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
48%
finance banking
45%
news media journalism
41%
phishing scam
37%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152.72.208.91Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
119--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A652D96922E70404B12340EC3FE7B38879699017AE06CC797BDC139E8FC5A95A4E73C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:H/SSFecb8mv9aL0h7XLlCDSVVlVmCU++Q:fSSFecbLTwDYgCv+Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13427:ylisgCBQYHADBLDKRIsB0UhyMEOEAUNSDIrQCQAgIgNACIoBIJC0AAAIgHhEpgUCDAuYOUymZJi/wAPAgEBgRgQkkZEWAyGA

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:ffbd3c3c00000000
Perceptual Hash:88cdcf7332666631
Difference Hash:717171711db10195
Wavelet Hash:ffffffff00000000
Color Hash:#ac539c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data