Security Scan Report: ambrmotchecks.vercel.app

Redirected to:
https://ambrmotchecks.vercel.app/
Submitted: Sep 29, 2026, 1:50:40 PMCompleted: Sep 29, 2026, 1:51:31 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ambrmotchecks.vercel.app and was registered 6 years ago.

Submitted URL: http://ambrmotchecks.vercel.app/

Effective URL:

https://ambrmotchecks.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Standard Vercel 404 error page with no content, no forms, and no malicious signals. Hosting-platform abuse reputation and unknown age are not page evidence, so risk stays low.

Risk Factors (2)
Subdomain on a free hosting platform (.vercel.app) whose actual creation date is unknown and could be very recent
Domain is unranked in Cisco Umbrella
Safety Factors (5)
No credential, login, or payment forms present
No brand impersonation or typosquatting — no brand is displayed at all
No malware, phishing, or IoC evidence in page content or scripts
No cross-origin requests or credential exfiltration
Error page contains only platform-generated debug identifiers, no deceptive or urgent language
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'ambrmotchecks.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'ambrmotchecks'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ambrmotchecks.vercel.app/

Page Load Overview

2.71s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
government public service
32%
news media journalism
31%
technology software
31%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF1EC9170613A3EF2338922189B611D313CE007ED275EDBD98A95F099DE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjT54G7XOuT24gEcy5m:WuGh84BFy571X+WXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RcQAghhIQ4JAgAE0VYIjEm4gMWPYpRBDCCA4CAzIFkACMLPzmHlwFGEGIoCAgGXggIAiAYGCmJvEAQQwkIdEgASQKahkRBT

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24243c3c24
Color Hash:#783a40

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data