Security Scan Report: venmo.com

Submitted: Jan 23, 2026, 7:19:36 AMCompleted: Jan 23, 2026, 7:20:19 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 119 HTTP transactions. The main domain is venmo.com and was registered NaN years ago.

Submitted URL: https://venmo.com

The Cisco Umbrella rank of the primary domain is #11,252 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site is legitimate with no detected security concerns.

Safety Factors
Established domain with long registration history
Official brand domain matches meta tags
No credential or payment collection elements
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Pay Friends | Payments App | Venmo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(87%)

Domain Information

The domain 'venmo.com' uses the commercial generic top-level domain (.com). The registrable portion 'venmo' spans 5 characters with two vowels and 3 consonants. Splitting it apart reveals two words: ven, mo. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://venmo.com

Page Load Overview

4.61s
Total Load Time
104
HTTP Requests
19
Domains
9.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,960 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking87% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
87%
cryptocurrency blockchain
79%
technology software
78%
government public service
63%
social media network
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1613.33.187.2New York, New York, United States
AS16509AMAZON-02
8172.217.18.14United States
AS15169GOOGLE
8216.58.206.72United States
AS15169GOOGLE
852.217.172.241Germany
8104.18.7.168GermanyUnknown
852.84.150.58United States
AS16509AMAZON-02
8104.18.34.93United States
AS13335CLOUDFLARENET
8146.75.123.1Frankfurt am Main, Hesse, Germany
AS54113FASTLY
8142.251.140.174GermanyUnknown
8104.18.65.57United States
AS13335CLOUDFLARENET
10412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B556EF36B0314FCF0E7864AF41114886A28E417BB5F5AD9B8625239D6CABDF4231BD4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Pm/5Ch6mgWTy1zMhFJ3rxjUFWza5VYrAlDiZVYAG3qW:e/fFWTyVCtFeYr4iYf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1355511:EBTQGQA4AA0EYBooBWgBgAwkgEMgBCDpQAQL7wTEqCWzAgAJLFBFrgwGw2HskFgnkUHkUKAbBrkIwDFEXkAaCIAmkA6QBgEZ

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:ffffe0a084e0e0e0
Perceptual Hash:ee99c999964a6a68
Difference Hash:6916652d2d2f6b45
Wavelet Hash:ffffe0e080e0e0e0
Color Hash:#2d8677

Scan History

Scan history not available

Unable to load historical scan data