For the third year in a row, we’ve taken time to reflect on our Bug Bounty program. This past year was an exciting one for us because we ran multiple experiments and made a number of process improvements to increase our program speed.
2020 Program Improvements
Building on our program’s continued success in 2019, we’re excited to announce more improvements.
Bounties Paid in Full Within 7 Days
As of today, we pay bounties in full within 7 days of a report being triaged. Paying our program minimum on triage has been a resounding success for us and our hackers. After having experimented with paying full bounties on triage in Shopify-Experiments (described below), we’ve decided to make the same change to our public program.
Maximum Bounty is Now $50,000
We are increasing our maximum bounty amount to $50,000. Beginning today, we are doubling the bounty amounts for valid reports of Arbitrary Code Execution, now $20K–$50K, SQL Injection, now $20K–$40K, and Privilege Escalation to Shop Owner, now $10K–$30K. Trust and security is our number one priority at Shopify and these new amounts demonstrate our commitment to both.
Surfacing More Information About Duplicate Reports
Finally, we know how important it is for hackers to trust the programs they choose to work with. We value that trust. So, beginning today, anyone who files a duplicate report to our program will be added to the original report, when it exists within HackerOne. We're continuing to explore ways to share information about internally known issues with hackers and hope to have a similar announcement later this year.
Learning from Bug Bounty Peers
Towards the end of 2018, we reached out to other bug bounty programs to share experiences and lessons learned. This was amazing. We learned so much chatting with our peers and those conversations gave us better insight into improving our data analytics and experimenting with a private program.
Improving Our Analytics
At Shopify, we make data-informed decisions and our bug bounty program is no exception. However, HackerOne platform data only gives us insight into what hackers are reporting and when; it doesn’t tell us who is testing what and how often. Discussing this problem with other programs revealed how some had already tackled this obstacle; they were leveraging provisioned accounts to understand their program funnel, from invitation, to registration, to account creation, and finally testing. Hearing this, we realized we could do the same.
To participate in our bug bounty program, we have always required hackers to register for an account with a specific identifier (currently a @wearehackerone.com email address). Historically, we used that registration requirement for investigating reports of suspicious platform activity. However, we realized that the same data could tell us how often people are testing our applications. Furthermore, with improvements to the HackerOne API and the ability to export all of our report data regularly, we have all the data necessary to create exciting activity reports and program trends. It’s also given us more knowledge to share in our monthly program recap tweets.
Shopify-Experiments, A Private Bug Bounty Program
Chatting with other programs, we also shared ideas about what is and isn’t working. We heard about some having success running additional private programs. Naturally, we launched a private bug bounty program to test the return on investment. We started Shopify-Experiments in mid-2019 and invited high signal, high impact hackers who have reported to our program previously or who have a proven track record on the HackerOne platform. The program allowed us to run controlled experiments aimed at improving our public program. For example, in 2019, we experimented with:
- expanding the scope to help us better understand the workload implications
- paying bounties in full after validating and triaging a report
- making report disclosure mandatory and adding hackers to duplicate reports
- allowing for self-closing reports that were submitted in good faith, but were false positives
- increasing opportunities to collaborate with Shopify third party developers to test their apps.
These experiments had immediate benefits for our Application Security Team and the Shopify public program. For instance, after running a controlled experiment with an expanded scope, we understood the workload it would entail in our public program. So, on September 11, 2019, we added all but a few Shopify-developed apps into the scope of our public program. Since then, we’ve received great reports about these new assets, such as Report 740989 from Vulnh0lic, which identified a misconfiguration in our OAuth implementation for the Shopify Stocky app. If you’re interested in being added to the program, all it takes is 3 resolved Shopify reports with an overall signal of 3.0 or more in our program.
Improving Response Times with Automation
In 2018, our average initial response time was 17 hours. In 2019, we wanted to do better. Since we use a dedicated Slack channel to manage incoming reports, it made sense to develop a chatbot and use the HackerOne API. In January last year, we implemented HackerOne API calls to change report states, assign reports, post public and private comments as well as suggest bounty amounts.
Immediately this gave us better access to responding to reports on mobile devices. However, our chosen syntax was difficult to remember. For example, changing a report state was done via the command
hackerone change_state <report_id> <state>. Responding with an auto response was
hackerone auto_respond <report_id> <state> <response_id>. To make things easier, we introduced shorthands and emoji responses. Now, instead of typing
hackerone change_state 123456 not-applicable, we can use
h1 change_state 123456 na. For common invalid reports, we react with emojis which post the appropriate common response and close the report as not applicable.
2019 Bug Bounty Statistics
Knowing how important communication is to our hackers, we continue to pride ourselves on all of our response metrics being among the best on HackerOne. For another straight year, we reduced our communication times. Including weekends, our average time to first response was 16 hours compared to 1 day and 9 hours in 2018. This was largely a result of being able to quickly close invalid reports on weekends with Slack. We reduced our average time to triage from 3 days and 6 hours in 2018 to 2 days and 13 hours in 2019.
We were quicker to pay bounties and resolve bugs; our average time to bounty from submission was 7 days and 1 hour in 2019 versus 14 days in 2018. Our average resolution time from time of triage was down to 20 days and 3 hours from 48 days and 15 hours in 2018. Lastly, we thanked 88 hackers in 2019, compared to 86 in 2018.
Average Shopify Response Times - Hours vs. Years
We continued to request disclosure on our resolved bugs. In 2019, we disclosed 74 bugs, up from 37 in 2018. We continue to believe it’s extremely important that we build a resource library to enable ethical hackers to grow in our program. We strongly encourage other companies to do the same.
Reports Disclosed - Number of Reports vs. Year
In contrast to our speed improvements and disclosures, our bounty related statistics were down from 2018, largely a result of having hosted H1-514 in October 2018, which paid out over $130,000 to hackers. Our total amount paid to hackers was down to $126,100 versus $296,400 in 2018, despite having received approximately the same number of reports; 1,379 in 2019 compared to 1,306 in 2018.
Bounties Paid - Bounties Awarded vs. Years
Number of Reports by Year - Number of Reports vs. Year
Report States by Year - Number of Reports vs. Year
Similarly, our average bounty awarded was also down in 2019, $1,139 compared to $2,052 in 2018. This is partly attributed to the amazing bugs found at H1-514 in October 2018 and our decision to merge the Shopify Scripts bounty program, which had a minimum bounty of $100, to our core bounty program in 2019. We rewarded bounties to fewer reports; 107 in 2019 versus 182 in 2018.
After another successful year in 2019, we’re excited to work with more hackers in 2020. If you’re interested in helping to make commerce more secure, visit hackerone.com/shopify to start hacking or our careers page to check out our open Trust and Security positions.
- Shopify Trust and Security