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: 88%

9
Risk Score

Fake webmail sign-in on a free vercel.app subdomain flagged by Safe Browsing for social engineering and by threat intel for phishing; it harvests email passwords. Do not enter credentials.

Risk Factors (6)
Credential-collecting login form (email + password) hosted on a disposable-style cloud subdomain
Google Safe Browsing Social Engineering detection
Single-source threat-intel phishing report on the primary domain
IDS phishing heuristic and abused-cloud-hosting alerts for vercel.app
Login page with no verifiable owner, no branding disclosure, and generic 'Professional Email' framing
Subdomain creation date unknown — content could have been published minutes ago
Domain age information unavailable

Details

Page Title

Sign in - Professional Email

Scan Type

public

Domain Name Analysis

The domain 'tdtufdd.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'tdtufdd'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

inglish (United Kingdom) Deutsch (Deutschland) English (United Kingdom) English (United States) Espafiol (Espana) Italiano (Italia) Nederlands (Nederland) Polski (Polska) © yz (fei) © ise (Hs) «...

Page Load Overview

21.88s
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:1,409 chars
Detector Agreement:81%

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
81198.251.71.220United States
AS8560IONOS SE
1464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14104.21.89.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4172.67.189.149Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, 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:07003000180

Other Hashes

Crop Resistant:c0c0808089098000

Scan History

Scan history not available

Unable to load historical scan data