Security Scan Report: peptavida-sys-crediexpress-rapido-2.vercel.app

Redirected to:
https://peptavida-sys-crediexpress-rapido-2.vercel.app/actualizar-nave...
Submitted: Aug 22, 2026, 1:45:02 PMCompleted: Aug 22, 2026, 1:46:46 PMpubliccompleted

This website contacted 2 IPs in 1 country across 11 domains to perform 102 HTTP transactions. The main domain is peptavida-sys-crediexpress-rapido-2.vercel.app and was registered 20 years ago.

Submitted URL: https://peptavida-sys-crediexpress-rapido-2.vercel.app/Bancolombia%20Sucursal%20Virtual%20Personas.html?session=hX44572IwVO5pChfV7RK

Effective URL:

https://peptavida-sys-crediexpress-rapido-2.vercel.app/actualizar-nave...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Page shows a social‑engineering Safe Browsing warning, unranked domain and unverified IoC; treat as high‑risk and do not interact.

Risk Factors
Safe Browsing social engineering alert
Unranked / low‑reputation subdomain on shared hosting
Unverified single‑source IoC on loaded resource
Domain age information unavailable

Details

Page Title

404: NOT_FOUNDfrom scan record

Scan Type

public

Domain Name Analysis

The domain name 'peptavida-sys-crediexpress-rapido-2.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'peptavida-sys-crediexpress-rapido-2'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://peptavida-sys-crediexpress-rapido-2.vercel.app/Bancolombia%20Sucursal%20Virtual%20Personas.html?session=hX44572IwVO5pChfV7RK

Page Load Overview

22.09s
Total Load Time
8.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
healthcare medical
34%
government public service
34%
cryptocurrency blockchain
29%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51142.250.154.94Google · CDNUnited States
AS15169Google LLC
51216.198.79.195United States
AS16509Amazon.com, Inc.
1022--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E331E099AE2985417C451ADD80FDFB2D9005C707FA00D858F3F460683698ECDDDA352C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hPME6Nykswa3Fi5nFsX5nQrVnMU4EvAVlKKV1VaKkvV1g7nRlsErkqITMaSG:BJK2waViXUSGU4EvOlKKJaKkkcErh+M8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1625:QAAAAQACBAAEAAGAIAAAAAAAAKAAEBAAYCAAAAAAAECABARAIQAARAAAAAAAAAAAAQBIAAABQAAAAAAAAAQACAQAAGAAAAAA

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:00003c3c3c3c0000
Perceptual Hash:df2120cc5f738ad8
Difference Hash:06f06968616106c0
Wavelet Hash:003c3c7e7e7e7e00
Color Hash:#532dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data