Security Scan Report: www.webmail-1.vercel.app

Redirected to:
https://webmail-1.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 7 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.webmail-1.vercel.app/

Effective URL:
https://webmail-1.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake 'Webmail' sign-in page on a vercel.app subdomain harvesting email passwords, with a Telegram bot token exfiltrating input and a Google Safe Browsing social-engineering hit. Do not enter credentials.

Risk Factors (7)
Credential-harvesting form (email + password) on an untrusted shared-hosting subdomain
Telegram bot exfiltration channel embedded in page script
Obfuscated JavaScript (hex-encoded parseInt/unescape) consistent with a phishing kit
Google Safe Browsing social-engineering detection
IDS phishing-landing alert and abused-cloud-hosting alerts for vercel.app
Generic 'Webmail' branding with copy-paste phishing copy ('Enter your eMail's Password', 'Error! Enter correct email password')
Form posts to '#' with no legitimate mail provider backend
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Domain Name Analysis

The domain name 'www.webmail-1.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.webmail-1'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

3.55s
Total Load Time
182 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:134 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism41% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
41%
healthcare medical
39%
finance banking
38%
government public service
37%
phishing scam
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
145.43.142.3United Kingdom
AS16276OVH SAS
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1110--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF523B795473845F713344EBF79A3B893A409E17E084C9543BDC53889FC9A69E4A1BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:DMCVIy+SFkPaIQIQANcUmyXC8LZ8SpUiJjMPWPL61LrkrCTLESoZeRiHmLEahHMj:D/SSFecb8HMP8W1Lrk2TLEfrGaMAAYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13547:AFIgBJQCYAAkBFT0NCMBBRAlyANSAEmFMQAwAGk4LQBKgU0KEDTEAwBkYUG+whCoKAo8t4rAwwC0QEgoBYBVAAgo6GFqGyro

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:3c3c1c1800000000
Perceptual Hash:9999ce6666319971
Difference Hash:7060b03004100000
Wavelet Hash:3f3f3f3f00000000
Color Hash:N/A

Other Hashes

Crop Resistant:7060b03004100000

Scan History

Scan history not available

Unable to load historical scan data