Security Scan Report: tdtufdd.vercel.app

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 3 domains to perform 86 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://tdtufdd.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake 'Professional Email' sign-in page on a throwaway vercel.app subdomain harvesting email and passwords, flagged by Google Safe Browsing for social engineering and by IDS phishing alerts. Do not enter credentials.

Risk Factors (6)
Google Safe Browsing Social Engineering detection
Password/credential collection form on an anonymous shared-hosting subdomain
Impersonation of a webmail/'Professional Email' sign-in flow with no relationship to the hosting domain
IDS phishing heuristic and abused-cloud-hosting service alerts
No ranking or reputation for the tenant; platform apex age not attributable to this page
Error/connection-failure messaging used to pressure users to re-enter credentials
Domain age information unavailable

Details

Page Title

Sign in - Professional Email

Scan Type

public

Domain Name Analysis

The domain name 'tdtufdd.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tdtufdd'. The core label 'vercel' covers 6 characters with two vowels and four consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tdtufdd.vercel.app/

Page Load Overview

1.13s
Total Load Time
54 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,409 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
69%
adult content
32%
education learning
31%
cryptocurrency blockchain
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1664.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14104.21.89.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14198.251.71.220United States
AS8560IONOS SE
1464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14172.67.189.149Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
866--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B03656AA0B4141653130FC43BD1A9247942E10B8C86F9FCB6BE82D85FE1E936C5F75E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:je0uvbY0b+buDBm/Zm08OVBERHe68CnSXlu/egEUCL8G8+b8biHY3RYMfZuvg5Rx:yEiRHe68CnU5b/MHYhNK2S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39025:AxBHMaAqSgQ4IxCRIIcEFGoQiyAMBC4Y3irEgrcopNBHIEiQKYCEGeQxQAIOJQTAEIIC4QSICwkwrgoIVJQIeEYgQEkMA2DE

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:7f7f7f7f01007fff
Perceptual Hash:8080df2381fd7fd8
Difference Hash:c0c0808089098000
Wavelet Hash:30707030000000ff
Color Hash:#53ac59

Other Hashes

Crop Resistant:c0c0808089098000

Scan History

Scan history not available

Unable to load historical scan data