Guide
Reading a bounty scope
assets, rewards, AI rules and response times
Compare 1,147 bounty programmes · advertised rewards, scope, response times and AI rules

Key facts
- 1,147seven platforms, 13 October
- Programmes
- $4,000291 Bugcrowd programmes
- Median maximum
- 220 of 296Bugcrowd directory field
- Full safe harbour
- 256 hoursmedian across 203 programmes
- Time to award
- 14 of 51live Cantina programmes
- Written-only scope
A bug bounty scope sets out which systems you may test, which methods the programme permits and which findings can earn a reward. Read it before starting research. Check the exact asset, exclusions, proof requirements and reward conditions, then review the programme’s rules on AI tools and disclosure.
Start with the permitted target
A bounty scope identifies the websites, apps, repositories or contracts that a programme accepts for testing. Match the exact hostname, repository version or contract address, then read the permitted methods and excluded findings. Previously known issues, duplicate reports and findings below the programme’s impact threshold can affect reward eligibility. HackerOne’s Code of Conduct requires researchers to follow each programme’s own policy.
The bounty economics tracker contains 1,147 public programmes in its 13 October 2026 snapshot: 448 on HackerOne, 296 on Bugcrowd, 143 on Intigriti, 56 on YesWeHack, one in the Federacy feed, 152 live programmes on Immunefi and 51 on Cantina. The Federacy entry retains its 8 October observation because its feed was unavailable in the later refresh. Feed coverage changes over time. Open the programme’s current page before testing.
Read the written scope alongside the asset list
Written instructions can define targets more fully than the structured asset list. On 13 October, 14 of 51 live Cantina programmes supplied scope in prose without structured asset groups. Asset counts therefore measure listed entries; a single entry can cover several systems. The platform data comes from the public directory mirror, Immunefi and Cantina.
For a contract programme, read the eligible impacts as well as the addresses. Check the proof-of-concept requirements, funds-at-risk calculation, identity checks and any rules governing local forks or production testing.
Check the protection the operator offers
Safe harbour sets out an operator’s commitments towards research conducted under its policy. The disclose.io template addresses authorisation, anti-circumvention restrictions, the operator’s terms of service and good-faith conduct. Read the adopted wording and its conditions; the operator’s commitment has a defined scope.
Bugcrowd’s directory field records 220 full, 52 partial and 24 other or unstated safe-harbour entries among 296 programmes on 13 October. The programme’s actual policy is the place to resolve an unclear permission before testing.
Keep a person responsible for AI-assisted findings
HackerOne permits responsible AI assistance, requires human validation of hackbot findings and makes the researcher accountable for every submission. A report needs reproducible steps and demonstrated impact. Automation must also follow the target’s rate limits, testing restrictions and disclosure rules.
Use the AI-policy comparison to find the relevant written policy. Check whether it requires disclosure of the tools used, how a proof must be supplied and who may receive vulnerability details. Platform rules and the individual programme’s conditions apply together.
Treat response times as historical measurements
The 13 October snapshot contains the following medians of HackerOne programmes’ reported statistics. Each measure has its own reporting sample.
| Measure | Median | Programmes reporting |
|---|---|---|
| First response | 7 hours | 407 |
| Bounty awarded | 256 hours, about 10.7 days | 203 |
| Report resolved | 1,152 hours, about 48 days | 297 |
| Response efficiency | 83% | 443 |
An award, a payment and a resolved report are separate events. Use these figures to compare programmes’ past handling times, and budget for the uncertainty of the individual report.
Compare maximum rewards within each currency
An advertised ceiling is the maximum available under the programme’s conditions. The actual award depends on the accepted impact, severity, eligibility and reward rules.
| Platform and currency | Median advertised ceiling | Sample on 13 October |
|---|---|---|
| Bugcrowd, USD | $4,000 | 291 published non-zero ceilings |
| Immunefi, USD | $150,000 | 152 live programmes |
| Intigriti, EUR | €2,500 | 54 published non-zero ceilings |
| Intigriti, USD | $8,500 | 15 published non-zero ceilings |
| Intigriti, GBP | £12,500 | One published non-zero ceiling |
On Immunefi, 130 of 661 reward rows use a funds-at-risk percentage capped at up to 10%. Cantina’s reward pots have their own payout conditions and currencies. Keep those rules beside the headline amount when comparing opportunities. The tracker links each programme so you can check the current terms.
Maintainers can request AI-generated vulnerability reports
Anthropic opened its opt-in OSS Scanner on 8 October 2026. It sends model-generated vulnerability reports to open-source maintainers who request the service. Those reports arrive without human validation, so maintainers still need to reproduce the finding and assess its impact. Participation in that service has its own access and disclosure process; an accepted bounty depends on the target programme’s rules.
Questions people ask
- What does safe harbour mean?
- Safe harbour is a programme operator’s commitment to treat research that follows its policy as authorised and in good faith. Its terms define the protection offered. Check which assets, methods and parties the policy covers.
- How long does a bounty take to be awarded?
- In the 13 October 2026 dataset, the median of 203 HackerOne programmes’ reported time-to-award figures is 256 hours, about 10.7 days. This historical programme-level statistic is separate from report resolution and the time a payment reaches a bank account.
- Can AI-assisted research earn a bounty?
- HackerOne permits responsible AI use and says human operators of hackbots can qualify for applicable rewards. Researchers must validate the finding, demonstrate impact and follow the individual programme’s scope and testing rules.
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