Bounty Table

How a bounty table works

A bounty table is the program’s pricing logic for findings. It sets how reports are translated into value, usually by severity, exploitability, novelty, impact, or report quality, so researchers know what earns a reward and operators can apply a consistent rule instead of negotiating case by case.

In practice, the table is not just a payout chart. It is part policy, part incentive design: the sharper the mapping between finding quality and reward, the easier it is to steer submissions toward issues that matter operationally and away from noisy or duplicate reports.

What bounty tables are designed to influence

The main job of a bounty table is to shape researcher behaviour. Clear reward bands help set expectations, reduce arguments about value, and create a transparent path from valid report to compensation or recognition. That predictability matters because bug bounty programs depend on outside researchers deciding where to spend attention.

Well-structured tables also help the program owner communicate what counts as a useful submission. Some programs reward reproducible, high-impact issues most heavily, while others add separate categories for speed, report clarity, proof of concept quality, or strategic asset coverage. The exact mix reflects what the organisation most wants to learn about its attack surface.

Why valuation can be difficult

Valuing findings is harder than assigning a severity label. Two reports with similar technical impact may differ in business context, exploitability, affected surface, or confidence level, and those differences can make a flat reward scheme feel unfair. A weak table can encourage edge-case inflation, duplicate submissions, or gaming around the thresholds.

Programs also need to account for ambiguity. A finding may be technically interesting but low in practical impact, or operationally urgent but hard to reproduce cleanly. If the reward structure does not reflect those trade-offs, researchers may optimise for payout rather than signal, which reduces the program’s usefulness.

How to read a bounty table as a security control

A bounty table is not a defensive control in the narrow sense, but it is a governance mechanism that affects how vulnerability discovery is channelled. It can improve intake quality, reduce friction in triage, and make the program more defensible to both researchers and internal stakeholders when rewards are applied consistently.

Because the table defines reward logic, it also influences disclosure economics. If the structure is too vague, too stingy, or too inconsistent, researchers may disengage or share findings elsewhere. If it is well designed, it can support responsible disclosure by making the exchange between finding value and reward value legible.

Risk and Threat Considerations

A poorly designed bounty table can create security and governance risk by rewarding the wrong behaviour. If payouts are too easy to optimise, researchers may focus on low-value submissions, duplicate reports, or findings that fit the table rather than findings that best reduce real exposure.

Failure mechanism: Ambiguous or misaligned reward bands distort incentives, weaken triage quality, and can push both internal teams and external researchers toward threshold gaming instead of risk reduction.

Impact: The program may see lower signal quality, more operational overhead, slower remediation of important issues, and less trust in the fairness of the disclosure process.

Practitioner Guidance

Why practitioners should care: The bounty table is part of the program’s operating model, not just its finance layer. Owners should ensure that the reward structure reflects what the organisation actually values, such as verified impact, exploitability, asset criticality, or report quality, rather than relying on a simple severity label alone.

Common misunderstanding: A larger payout does not automatically mean a better report, and a smaller payout does not automatically mean a weak one. Programs work best when the table is explicit enough to reduce surprise, but flexible enough to handle judgement where the real-world risk is more nuanced than the table can capture.

Related resources from NHI Mgmt Group

• Should organisations use bug bounty programs as their only vulnerability disclosure channel?
• How should security teams handle leaked credentials reported outside bug bounty scope?
• What is the difference between a bug bounty program and a vulnerability disclosure policy?
• What breaks when identity controls stop at table-level permissions?