Venmo OSINT: How Anyone Can Track Your Payments, Friends, And Location In Seconds + Video

Introduction

Venmo, the popular peer-to-peer payment platform, processes billions of dollars in transactions annually — and by default, nearly all of it is public. Security researchers and threat actors alike have discovered that Venmo’s public API and search functionality expose a treasure trove of personally identifiable information (PII), including usernames, transaction notes, friend connections, and even location data. This article explores the OSINT (Open Source Intelligence) techniques used to harvest Venmo user data, the tools that automate this process, and most importantly, how to protect yourself from these privacy invasions.

Learning Objectives

Understand how Venmo’s public profile system can be exploited for OSINT gathering without authentication
Learn to use session cookie extraction and search pattern techniques to retrieve user data
Identify the privacy risks associated with public transactions and friend lists
Implement defensive measures to secure your Venmo account and limit exposure
Recognize the broader implications of payment app OSINT for personal and corporate security

You Should Know

1. Understanding Venmo’s Public Data Exposure

Venmo’s social feed is designed to mimic a social network, where users can see transactions between friends, like and comment on payments, and view public profiles. However, this design choice creates significant privacy vulnerabilities. By default, Venmo makes all transactions public unless users explicitly change their privacy settings to “Private” or “Friends Only.”

The OSINT technique described in the post revolves around two primary methods:

Method 1: Session Cookie Extraction

The Venmo OSINT tool at `venmo-osint.vercel.app` requests permission to read your Venmo session cookies from your local browser. This allows the tool to authenticate as you and access Venmo’s internal search endpoints without requiring you to manually copy cookies. The tool explicitly states it “Runs entirely on your machine — nothing is sent externally” and “Does not access passwords, history, or other sites”. While this is presented as a privacy-friendly approach, it highlights a critical security reality: session cookies are powerful authentication tokens that, if stolen, can grant an attacker full access to your account.

Method 2: DuckDuckGo Search Pattern Abuse

The tool also performs OSINT by searching DuckDuckGo using the pattern `site:venmo.com/u` combined with common username patterns. This technique bypasses Venmo’s own search restrictions by leveraging Google’s/DuckDuckGo’s index of public Venmo profile pages. Since Venmo profile URLs follow a predictable structure (venmo.com/username), an attacker can enumerate usernames and retrieve public profile information without any authentication.

Step-by-Step Guide: Manual Venmo OSINT Using Search Engines

Open a search engine (Google, DuckDuckGo, or Bing).
Use the search query: `site:venmo.com/u “John”` to find profiles with “John” in the username or display name.
Refine your search with additional keywords like location: site:venmo.com/u "New York".
Click on the search results to view public Venmo profiles.
From a profile page, note the transaction history, friend list, and any public notes that may contain location or personal information.

Step-by-Step Guide: Using the Venmo OSINT Tool

Navigate to `https://venmo-osint.vercel.app/`.

2. Select your browser from the dropdown menu.

3. Click “Allow” when prompted to read Venmo session cookies.
4. Enter a Venmo username in the “Profile Lookup” field.
5. The tool will retrieve public information, including the user’s display name, profile photo, transaction history, and friend connections.
6. For users without a cookie, the tool falls back to DuckDuckGo search pattern enumeration.

2. The OSINT Rack: A Curated Arsenal of Intelligence Tools

The post references `https://osintrack.com`, which hosts a curated collection of over 496 OSINT resources. This platform serves as a one-stop shop for investigators, security analysts, and threat actors alike. Below are some of the most notable tools from the collection that complement Venmo OSINT investigations:

| Tool | Purpose | Key Feature |

|||-|

Step-by-Step Guide: Enriching Venmo OSINT with Email and Username Correlation

Extract a target’s Venmo username or the email address associated with their Venmo account.
Visit `https://fingerprint.to/` and enter the username to discover associated accounts across other social media platforms.
3. Use `https://behindtheemail.com/` to query the email address and retrieve professional and educational history.
Check `https://haveibeenransom.com/` to see if the email appears in infostealer logs.
Cross-reference findings to build a comprehensive digital footprint of the target.

3. Technical Deep Dive: Session Cookie Exploitation

Session cookies are small pieces of data stored by your browser that maintain your authenticated session with a website. When you log into Venmo, the server issues a session cookie that your browser sends with every subsequent request, proving you are logged in.

The Venmo OSINT tool exploits this by reading your browser’s cookies for venmo.com. This is technically feasible because the tool runs entirely client-side (in your browser) using JavaScript. However, this technique raises several security concerns:

Cross-Site Scripting (XSS) Risk: If the tool were compromised, it could exfiltrate your cookies to a remote server.
Session Hijacking: An attacker with your session cookie can impersonate you without needing your password.
Privacy Implications: Even though the tool claims not to send data externally, you are trusting a third-party website with access to your authentication tokens.

Linux Command: Extracting Cookies from Browser Storage

For penetration testers and security researchers, understanding how to extract cookies manually is essential. Below are commands to extract cookies from common browsers on Linux:

 Firefox (SQLite database)
sqlite3 ~/.mozilla/firefox/.default-release/cookies.sqlite \
"SELECT name, value FROM moz_cookies WHERE host LIKE '%venmo%';"

Chrome/Chromium (SQLite database)
sqlite3 ~/.config/google-chrome/Default/Cookies \
"SELECT name, value FROM cookies WHERE host_key LIKE '%venmo%';"

Decrypt Chrome cookies (requires keyring access)
python3 -c "
import sqlite3, os, json, base64
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
 Full decryption script available in Chromium source
"

Windows Command: Extracting Cookies Using PowerShell

 Chrome cookies location
$env:LOCALAPPDATA\Google\Chrome\User Data\Default\Cookies

Firefox cookies location
$env:APPDATA\Mozilla\Firefox\Profiles.default-release\cookies.sqlite

Use Python or third-party tools like ChromeCookiesView to extract

Mitigation: Protecting Your Session Cookies

Use Private Browsing/Incognito Mode when accessing third-party OSINT tools.
Regularly clear your browser cookies and site data.
Enable two-factor authentication (2FA) on your Venmo account to add an extra layer of security even if cookies are stolen.
Log out of Venmo when not in use to invalidate session cookies.
Use browser extensions like Cookie AutoDelete to automatically remove cookies after closing a tab.
API Security: Venmo’s Public Endpoints and Rate Limiting

Venmo’s public API endpoints are the backbone of the OSINT techniques described above. While Venmo does not publicly document all its API endpoints for security reasons, researchers have reverse-engineered several key endpoints:

Public Profile Endpoint:

GET https://venmo.com/api/v5/users/{username}

Returns user profile information including display name, profile picture URL, join date, and friend count.

Transaction Feed Endpoint:

GET https://venmo.com/api/v5/users/{username}/feed

Returns the user’s public transaction history, including amounts (if not hidden), notes, and timestamps.

Friend List Endpoint:

GET https://venmo.com/api/v5/users/{username}/friends

Returns the user’s public friend list.

Step-by-Step Guide: Manual API Query Using cURL

 Retrieve public profile information
curl -X GET "https://venmo.com/api/v5/users/example_user" \
-H "Accept: application/json" \
-H "User-Agent: Mozilla/5.0"

Retrieve transaction feed (requires session cookie for private data)
curl -X GET "https://venmo.com/api/v5/users/example_user/feed" \
-H "Cookie: venmo_session=YOUR_SESSION_COOKIE" \
-H "Accept: application/json"

Rate Limiting and Detection:

Venmo implements rate limiting to prevent abuse. Sending too many requests in a short period will result in HTTP 429 (Too Many Requests) responses. To avoid detection, OSINT practitioners often:
– Rotate IP addresses using proxies or VPNs.
– Introduce random delays between requests.
– Distribute requests across multiple user agents.

Python Script: Automated Venmo OSINT with Rate Limiting

import requests
import time
import random

def venmo_osint(username, session_cookie=None):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
'Accept': 'application/json'
}
if session_cookie:
headers['Cookie'] = f'venmo_session={session_cookie}'

url = f'https://venmo.com/api/v5/users/{username}'
response = requests.get(url, headers=headers)

if response.status_code == 429:
print(f"Rate limited. Waiting 60 seconds...")
time.sleep(60)
return venmo_osint(username, session_cookie)

return response.json()

Example usage
usernames = ['user1', 'user2', 'user3']
for user in usernames:
data = venmo_osint(user)
print(f"Profile: {data.get('data', {}).get('username')}")
time.sleep(random.uniform(2, 5))  Random delay to avoid detection

5. Corporate and Personal Defense Strategies

The privacy implications of Venmo OSINT extend beyond individual embarrassment. For corporate security teams, executives’ public Venmo transactions can reveal:
– Business relationships: Payments to contractors, vendors, or business partners.
– Travel patterns: Location tags in transaction notes.
– Financial habits: Spending patterns that could be exploited for social engineering.

Defensive Measures for Individuals:

Change Privacy Settings: Navigate to Venmo Settings → Privacy → Default Privacy Settings and set to “Private” or “Friends Only.”
Hide Past Transactions: Go to your profile, click the three dots on each transaction, and select “Change Privacy” to make past transactions private.
Disable Friend List Visibility: In Settings → Privacy, toggle off “Appear in other users’ friends lists.”
Use a Pseudonym: Avoid using your real name or easily identifiable username.
Regular Audits: Periodically search for your username on Google using `site:venmo.com/u “yourusername”` to see what’s publicly visible.

Defensive Measures for Organizations:

Security Awareness Training: Educate employees about the risks of public payment transactions.
Policy Implementation: Create a corporate policy prohibiting employees from using personal payment apps for business transactions.
Regular OSINT Scans: Conduct regular OSINT sweeps of executive and employee Venmo profiles to identify exposure.
Incident Response: Develop a playbook for responding to OSINT-based social engineering attacks.

Linux Command: Automated OSINT Monitoring with Cron

!/bin/bash
 osint_monitor.sh - Check if a Venmo username is publicly searchable

USERNAME="target_username"
SEARCH_URL="https://www.google.com/search?q=site:venmo.com/u+$USERNAME"

Use curl to fetch search results
curl -s -A "Mozilla/5.0" "$SEARCH_URL" | grep -q "$USERNAME"

if [ $? -eq 0 ]; then
echo "ALERT: $USERNAME found in public search results!" | mail -s "OSINT Alert" [email protected]
else
echo "$USERNAME not found in public search."
fi

6. The Broader OSINT Ecosystem: SOCMINT and Beyond

Venmo OSINT is just one piece of the larger SOCMINT (Social Media Intelligence) landscape. The tools listed on OSINT Rack demonstrate the depth and breadth of available resources:

Instagram OSINT: IGDetective allows anonymous tracking of follows, unfollows, and story views without leaving a footprint.
Twitter OSINT: Twitter LoLarchiver archives historical account data including usernames, bios, and display names.
Email OSINT: Behind the Email and IntelBase correlate email addresses with professional profiles, breach data, and activity timelines.
Breach Intelligence: LeaksAPI and Breach House provide access to darknet data, including stealer logs and ransomware leak sites.

Step-by-Step Guide: Building a Complete OSINT Profile

1. Start with a username discovered from Venmo.

Use Fingerprint.to to find associated accounts across 500+ networks.

3. Use IGDetective to analyze Instagram activity.

Use Twitter LoLarchiver to retrieve historical Twitter data.
Use Behind the Email to query any email addresses found.

6. Use LeaksAPI to check for compromised credentials.

7. Compile findings into a comprehensive intelligence report.

7. Ethical and Legal Considerations

While OSINT techniques are legal when applied to publicly available information, there are important ethical and legal boundaries:

Do Not Access Private Data: Attempting to bypass authentication to view private transactions is illegal under the Computer Fraud and Abuse Act (CFAA) and similar laws worldwide.
Respect Rate Limits: Aggressive scraping can violate a service’s Terms of Service and may result in legal action.
Use for Defensive Purposes: OSINT should be used for security research, threat intelligence, and personal protection — not for harassment, stalking, or malicious purposes.
Obtain Proper Authorization: When conducting OSINT on behalf of an organization, ensure you have proper authorization and follow legal guidelines.

What Undercode Say

Key Takeaway 1: Venmo’s default public settings create a significant privacy vulnerability that can be exploited using simple search engine queries and session cookie extraction techniques.
Key Takeaway 2: The OSINT ecosystem is vast and interconnected — a single Venmo username can unlock a complete digital footprint across dozens of platforms using tools like Fingerprint.to, IGDetective, and LeaksAPI.

Analysis: The post highlights a critical gap between user expectations and platform reality. Most Venmo users are unaware that their transactions are public by default, and even those who change settings may have years of historical transactions still exposed. The tool’s approach of reading session cookies is particularly concerning because it normalizes granting third-party websites access to authentication tokens — a practice that, if widely adopted, could lead to large-scale session hijacking campaigns. The reference to OSINT Rack underscores the professionalization of OSINT, with over 496 tools available for both defensive and offensive purposes. For security teams, this means that the threat landscape is not limited to sophisticated attackers; even casual researchers can now access powerful intelligence-gathering capabilities. The most effective defense remains education: users must be trained to understand that “public” means “global,” and that every transaction, friend connection, and note is potentially visible to anyone with an internet connection and basic search skills.

Prediction

+1 Expect increased regulatory scrutiny of payment apps’ default privacy settings, potentially leading to mandatory private-by-default configurations within the next 12–18 months.
-1 The proliferation of user-friendly OSINT tools will lower the barrier to entry for cyberstalkers and social engineers, leading to a rise in harassment and social engineering attacks leveraging Venmo data.
+1 Security awareness training programs will increasingly incorporate payment app OSINT as a standard module, empowering employees to protect their digital footprints.
-1 Venmo’s API will likely be further restricted or deprecated, pushing OSINT practitioners toward more aggressive techniques like session cookie exploitation and browser automation.
+1 The OSINT community will continue to innovate, developing new tools that leverage AI and machine learning to correlate disparate data points into comprehensive threat intelligence profiles.
-1 As more users adopt private settings, attackers will pivot to targeting friends lists and mutual connections, creating new vectors for social engineering and impersonation attacks.
+1 Organizations will begin implementing automated OSINT monitoring solutions to detect exposed employee data, similar to existing brand protection and dark web monitoring services.
-1 The cat-and-mouse game between platform security teams and OSINT researchers will intensify, with platforms implementing increasingly sophisticated anti-scraping measures that may impact legitimate research and journalism.
+1 The demand for OSINT training and certification programs will surge, creating new career opportunities in threat intelligence, corporate security, and digital forensics.
-1 Without proactive privacy measures, the cumulative effect of data exposure across Venmo and other platforms will enable the creation of highly accurate behavioral profiles, posing long-term risks to personal privacy and autonomy.

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