Security Scan Report: www.eng650.vercel.app

Redirected to:
https://eng650.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 8 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://eng650.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed credential-phishing kit posing as a webmail login on a .vercel.app subdomain, with Telegram-bot exfiltration, a CRITICAL hunting rule kit match and a HIGH ET PHISHING alert. Do not enter credentials.

Risk Factors (6)
Credential-harvesting login form (email + password) on an unranked, unknown-age shared-hosting subdomain
Telegram bot exfiltration channel embedded in page JavaScript (CRITICAL stealer pattern)
hunting rule high-precision phishing-kit hit
Network IDS HIGH phishing alert
Victim IP/geolocation lookup via ipinfo.io and Clearbit logo lookup used to render a spoofed brand identity
Page displays a broken/error state ('This site can't be reached', ERR_TUNNEL_CONNECTION_FAILED) consistent with a hastily deployed kit
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Domain Name Analysis

The domain name 'www.eng650.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.eng650'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.40s
Total Load Time
201 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
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.169.185.219Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1111--

Detected Technologies9

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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data