Full Report
Only a single person gets paid for a vulnerability when found. These duplicates kill the ego and drain the mind. This article is about overcoming the duplicate vulnerability issues. If you use the same methodology as everyone else, you'll find the same bugs—IDORs, business logic flaws, etc. The author compares bug hunting to a treasure map where all of the obvious spots have already been picked clean. What's the solution? Become a vulnerability expert. Become the best at XSS, IDORs, etc. This isn't about quick wins; it's about building up the necessary skills. The next issue surrounds program selection. Most people don't have a rhyme or reason for picking a program. Understand the program/product working inside and out; a good way is to be a power user on the platform. Choose programs that are likely to have issues with the expertise learned. It may be close to finding the right program. But it will be more fruitful in the end. Success in bounty hunting is about being different.
Analysis Summary
# Best Practices: Avoiding Duplicate Vulnerability Submissions in Bug Bounties
## Overview
These practices aim to address the high rate of duplicate vulnerability reports by shifting the focus from generic, methodology-driven testing to deep specialization in both vulnerability types and target product knowledge. The goal is to find unique, non-obvious flaws that others miss due to common testing approaches.
## Key Recommendations
### Immediate Actions
1. **Audit Current Methodology:** Immediately review the set of vulnerabilities currently being targeted (e.g., basic IDOR, common rate limiting) and acknowledge that these are likely heavily tested by peers.
2. **Stop Program Hopping Without a Strategy:** Cease selecting bug bounty programs randomly or based solely on high initial payouts.
3. **Select an Initial Specialization:** Choose one vulnerability class (e.g., XSS, IDOR, Business Logic Flaws) that requires deep technical understanding to master first.
### Short-term Improvements (1-3 months)
1. **Deep Dive into Chosen Vulnerability:** Commit to learning every variation and technique for the chosen vulnerability type. Do not just practice copy-pasting payloads; understand the underlying technical concepts that enable the flaw.
2. **Become a Power User of the Target Product:** If testing a specific program, dedicate time to learning the platform intimately. For example, if testing an e-commerce site, thoroughly understand the checkout flow, seller tools, and administrative areas as a normal user would.
3. **Active Learning and Replication:** Study detailed write-ups on the chosen vulnerability type. Actively replicate complex findings in a controlled lab environment to solidify understanding beyond surface-level exploitation.
### Long-term Strategy (3+ months)
1. **Develop Expertise Beyond the Basics:** Progress beyond simple tests (e.g., integer-based IDORs) to advanced concepts (e.g., UUID manipulation, complex DOM XSS, PostMessage vulnerabilities). Link vulnerability knowledge to application architecture understanding.
2. **Strategic Program Selection:** Select future targets where the developed expertise provides a distinct advantage. For instance, if expertise is gained in complex payment flows, target programs with intricate financial logic.
3. **Combine Expertise and Product Knowledge:** Consistently apply deep technical knowledge of a vulnerability class to the specific quirks and architecture of a deeply understood product to find novel flaws automated tools cannot detect.
## Implementation Guidance
### For Small Organizations (Focusing on Individual Hunters/Small Teams)
- **Specialization Focus:** Define a 90-day roadmap focusing exclusively on mastering one complex vulnerability type (e.g., Race Conditions or Template Injection).
- **Time Allocation:** Allocate at least 60% of testing time to probing areas of the target application that require deep functional knowledge (i.e., features you use daily or have fully documented).
### For Medium Organizations (Internal Security Teams Focused on Proactive Hunting)
- **Knowledge Siloing:** Designate internal security engineers as "Vulnerability Experts" for specific areas (e.g., Engineer A masters API authorization, Engineer B masters file handling flaws).
- **Cross-Training:** Mandate that experts mentor peers, ensuring the organizational methodology moves beyond default scanner checks to specialized testing rooted in deep knowledge.
### For Large Enterprises (Enhancing Internal Testing/Vulnerability Disclosure Programs)
- **Methodology Divergence:** Standardize bug hunting processes to mandate testing methodologies that go beyond common industry practices. Require engineers to document how their approach *differs* from standard automated scans.
- **Product Familiarity Metrics:** Institute a requirement that security testers must complete a documented walkthrough or "power user" certification for any major product before beginning security testing on it.
## Configuration Examples
*No specific configuration examples were provided in the source material, as the focus is on methodology and expertise development rather than precise technical configurations.* (Recommendation: Build custom scripts targeting niche application functions identified through deep product study, rather than relying solely on off-the-shelf scanners.)
## Compliance Alignment
While the source material focuses on bug bounty strategy rather than formal compliance, the underlying principles align with:
- **NIST SP 800-53 (RA series):** Requires specialized knowledge and systematic testing to achieve thorough risk assessment, moving beyond superficial checks.
- **ISO/IEC 27001 (A.14.2.8 - Secure system engineering principles):** Ensures that development and operational processes benefit from highly focused and expert-level security validation, reducing common flaws.
## Common Pitfalls to Avoid
- **Relying Solely on Automated Tools:** Assuming standardized tools will uncover unique bugs when everyone else uses the same tools.
- **Chasing Quick Wins:** Prioritizing programs with published high payouts over programs where the hunter possesses specialized, relevant knowledge.
- **Superficial Learning:** Reading about a vulnerability type without deeply understanding the underlying technical reasons (e.g., input sanitization context, framework quirks) that allow exploitation.
- **Ignoring Product Context:** Testing a product without understanding its core business logic and intended user workflows.
## Resources
- **Focused Review Material:** Study complex vulnerability write-ups specifically related to the chosen specialization area.
- **Community Engagement (Selective):** Participate in specialized community platforms (e.g., Discord servers) that discuss deep technical exploitation techniques, rather than just report summaries.
- **Personal Lab Environment:** Essential for replicating advanced findings and testing hypotheses derived from a deep understanding of application architecture.