Security Scan Report: viasflowblog.vercel.app

Submitted: Sep 25, 2026, 12:50:40 AMCompleted: Sep 25, 2026, 12:52:13 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Benign Vercel 404 error page with no content, forms, or malicious signals. IDS alerts are generic hosting-platform reputation tags, not evidence of wrongdoing.

Safety Factors (4)
No forms of any kind, no credential or payment collection
No malware, phishing, or obfuscated JS detected
No brand impersonation — error page displays only Vercel's own platform branding
No Indicators of Compromise against page or loaded resources
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'viasflowblog.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'viasflowblog'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://viasflowblog.vercel.app/site/

Page Load Overview

0.47s
Total Load Time
3 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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
healthcare medical
32%
news media journalism
31%
government public service
30%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126F1FB9170613A3FF23388221897511D313CE007FD275EDA998A95F09ADE5E23A3FD85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjw5PG7XOuT24gEcy5m:Wurh84BFynOM1WXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKEYhRAErBcAopQCrNgJSCHXQjDIgCZCbB0IjIgAoglDMDYCYCLMkhUQUnAKPASGoATVAEpQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#7b6ce0

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data