Security Scan Report: re11133.vercel.app

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 5 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://re11133.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Phishing kit on a vercel.app subdomain: fake bot-check lure leads to an email/password form whose data can be sent to a hardcoded Telegram bot; corroborated by multi-source phishing threat intel.

Risk Factors (5)
Telegram-bot exfiltration channel hardcoded in page script (credential theft capability)
Email + password login form on an anonymous shared-hosting subdomain with no legitimate identity
Fake 'I am not a robot' / browser-check interstitial used as a lure
Multi-source phishing threat-intel match on the primary domain
External IP harvesting via api.ipify.org and IDS alerts for abused cloud hosting
Domain age information unavailable

Details

Page Title

Sign In.

Scan Type

public

Domain Name Analysis

Domain 're11133.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 're11133'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Checking your browser and insight for help... lam not a robot click on the checkbox to verity if you're human.

Page Load Overview

0.34s
Total Load Time
233 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
70%
technology software
56%
news media journalism
39%
adult content
38%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
118--

Detected Technologies4

Bootstrapv5.3.0
50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A32E762ABF9043D3393D0B935F5A7847E32C10BEE41495A386D2AD54FCAE8648777C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:w7Uq6jfD9jTZLox1JJy4GbU+JAM7R0eyimtmfGrisLiZi4jb2UO4UWOA+:wAp5X0eyiROriyiZi4jDUW8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11218:mqAHwQVYwRoYgIMFAGhg1oj6hqgCihgiYSFIABwAwEIwIyBgkMKOAgQhAp2R2xRFYQsCSQRDSBBIB5ALkIqQMEgECwWAhowF

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:ffc3c3ffffffffff
Perceptual Hash:b13146cece9b9931
Difference Hash:00161e0000000000
Wavelet Hash:3b03033f0f0f0f0f
Color Hash:N/A

Other Hashes

Crop Resistant:00161e0000000000

Scan History

Scan history not available

Unable to load historical scan data