Security Scan Report: www.fuzzy-octo-memory-peach.vercel.app

Redirected to:
https://fuzzy-octo-memory-peach.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 12 domains to perform 16 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.fuzzy-octo-memory-peach.vercel.app/

Effective URL:
https://fuzzy-octo-memory-peach.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake login page on a throwaway vercel.app subdomain, flagged by Safe Browsing for social engineering, with a Telegram bot token wired into the page to exfiltrate entered credentials.

Risk Factors (6)
Google Safe Browsing social-engineering detection
Password-collecting login form on an instant-publish vercel.app subdomain of unknown age
Telegram bot token embedded in inline script (credential exfiltration channel)
Hidden form fields unrelated to a normal login (pdf1, address, type)
Password validation messages ('Invalid password. Please enter the correct information.') typical of harvested-credential lures
Network IDS alerts for commonly actor-abused cloud hosting service domains
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.fuzzy-octo-memory-peach.vercel.app' is registered with subdomain 'www.fuzzy-octo-memory-peach'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. It segments into 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fuzzy-octo-memory-peach.vercel.app/

Page Load Overview

2.25s
Total Load Time
372 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:已下架
Text Length:219 chars
Detector Agreement:100%
Language mismatch: Declared as 已下架 but detected as en

Website Classification

Primary Category

adult content28% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
28%
finance banking
28%
news media journalism
28%
government public service
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
052.4.199.229Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1618--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B04484B0E20C20DA7336C44FBF81B6A962B5F369D5514DA6F21F6C5C4EC268611E2F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LIlMIpu80PxXE4YXJgndFTfy9lQOw/71gIuiHlqqm68lDbNBmbhqNyH6b2Ic7c1M:Ji8Px04YXGdFTyHQ/Z6whHMk00FX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260810:gIYJYUEzIQEoiWITJFMWMgEDg8sMTKAQgQJUNBKICptIDMFhghkojA4BIwR4egEZEFlGKQHeiAAsMsICZkICQDPkptiiLWBC

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:0018181818000000
Perceptual Hash:88cc3333337733cc
Difference Hash:4db3b3b3b34d3101
Wavelet Hash:2f1b1b1b1b070f0f
Color Hash:#79d2b5

Scan History

Scan history not available

Unable to load historical scan data