MEDIUM 5.9

CVE-2026-57959: Hi.Events Promo Code Bypass via Asynchronous Validation Race Condition

Hi.Events versions through 1.9.0 contain a flaw in how promo codes are validated during ticket reservations. When a customer applies a limited-use promo code at checkout, the system checks how many times it's been used—but this check happens before a background job updates the usage counter. An attacker can exploit this timing gap by sequentially reserving multiple orders with the same restricted code. Each reservation sees the counter at zero and passes validation, even though previous reservations should have incremented it. By completing these reservations one after another (not simultaneously), attackers can redeem a single-use or limited-use promo code many times, obtaining tickets at a discount that should only apply once.

Source data · NVD / CISA · public domain

CVSS
3.1 · 5.9 MEDIUM · CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
Weaknesses (CWE)
CWE-367
Affected products
0 configuration(s)
Published / Modified
2026-06-29 / 2026-07-14

NVD description (verbatim)

Hi.Events through 1.9.0 contains a promo code validation vulnerability where reservation validates usage count before asynchronous UpdateEventStatisticsJob increments it, allowing attackers to redeem limited promo codes unlimited times. Attackers can sequentially reserve multiple orders with the same restricted promo code, each reading order_usage_count=0 and passing validation, then complete them all at discounted prices without concurrent requests.

2 reference(s) · View on NVD →

SEC.co analysis · AI-assisted, reviewed against source

Technical summary

The vulnerability is a time-of-check-time-of-use (TOCTOU) race condition in the promo code validation logic. During the reservation process, the system validates the promo code's remaining usage count against order_usage_count before the asynchronous UpdateEventStatisticsJob increments the counter in the database. Because the check and the update are not atomic and the usage counter is not incremented until after validation completes, sequential (non-concurrent) requests each observe the same initial state. An attacker can craft multiple reservation requests in sequence, with each request reading order_usage_count=0 at validation time, passing the usage limit check, and proceeding to completion. The job eventually increments the counter, but only after all validations have already succeeded, allowing the promo code's intended limit to be bypassed entirely. This affects the integrity of revenue-controlling business rules and exploit complexity is high because it requires understanding the asynchronous update pattern and careful timing of sequential requests.

Business impact

This vulnerability undermines promo code revenue controls and discount policy enforcement. Organizations using Hi.Events for ticket sales, event registration, or reservation systems lose the ability to enforce limited-use marketing codes. An attacker could systematically redeem a single-use or limited-quantity discount code hundreds of times, directly reducing revenue per ticket sold and eroding the ROI of promotional campaigns. The impact extends beyond direct discounting: it may allow competitors or malicious actors to artificially drive down effective ticket prices, manipulate event economics, and distort analytics around promo code effectiveness. For event organizers relying on controlled discounts to manage demand or customer acquisition costs, this creates both immediate financial loss and reputational damage if customers discover that discount controls were ineffective.

Affected systems

Hi.Events through version 1.9.0 is affected. The vulnerability exists in the promo code validation and reservation workflow, so any Hi.Events deployment using promo codes for ticket or reservation discounting is at risk. The issue is introduced by the asynchronous nature of the UpdateEventStatisticsJob, which means all affected versions with this job present are vulnerable. Verify your Hi.Events version against the vendor's release notes to confirm whether you are running 1.9.0 or earlier.

Exploitability

Exploitability is feasible for an attacker with network access and basic understanding of the event reservation process, but requires some operational effort. The attack does not require authentication or user interaction, and does not depend on concurrent request handling (which might be protected by database locks). Instead, the attacker must sequentially submit multiple reservation requests with the same promo code, timing them to observe the race condition. The CVSS score of 5.9 reflects this moderate barrier: attack vector is network-based, no privileges are required, and no user interaction is needed, but attack complexity is high because the attacker must understand and deliberately craft requests to exploit the asynchronous update window. The attack is deterministic and repeatable once understood, making it a realistic threat in production environments where event organizers do not monitor promo code usage anomalies in real time.

Remediation

Update Hi.Events to a patched version that implements atomic validation and counter increment operations for promo code usage. Verify against the vendor's security advisory for the first patched version number. The fix should either synchronously increment the usage counter before allowing the reservation to complete, or implement database-level constraints (such as unique key violations or explicit locks) that prevent the same code from exceeding its usage limit even when multiple requests are in flight. Until patching is possible, consider temporary mitigations: disable promo codes with strict usage limits, monitor reservation logs for unusually rapid redemptions of the same code, or implement application-level rate limiting per promo code per time window.

Patch guidance

Check the Hi.Events vendor security advisory at https://github.com/HiEventsinc/Hi.Events or the official release notes for version 1.9.1 or later. Apply the patch to all instances of Hi.Events in your event management infrastructure. If you are on a hosted or SaaS version of Hi.Events, verify that your provider has deployed the patch and confirm the deployed version. Test the patched version in a staging environment to ensure promo code validation now correctly prevents over-redemption before rolling to production. After patching, audit recent promo code usage logs for any evidence of abnormal redemption patterns that might indicate prior exploitation.

Detection guidance

Monitor for suspicious promo code usage patterns: unusually rapid sequences of reservations using the same limited-use code in a short time window, or a single promo code exceeding its configured usage limit in your analytics. Query reservation and order logs for the same promo code appearing in completed transactions significantly more times than its configured limit. Set up alerts on the UpdateEventStatisticsJob to track how often it runs and whether order_usage_count increments are lagging behind actual reservations. Review audit logs for API calls to the reservation endpoint using identical promo code values across multiple requests within seconds or minutes. If your Hi.Events instance exposes metrics or logs, flag any correlation between high-velocity reservation creation and a single promo code identifier.

Why prioritize this

Although the CVSS score is medium (5.9), this vulnerability should be prioritized for patching because it directly and measurably impacts revenue in event management systems. The fix is straightforward for the vendor and does not require architectural changes. The attack is feasible without specialized privileges or user interaction, and the business impact—unlimited redemption of limited-use discounts—is immediate and quantifiable. If you operate an event platform or manage frequent ticket sales with promo campaigns, this poses a concrete risk to financial controls. Prioritize it alongside your critical and high-severity patching cycle rather than deferring to a later window.

Risk score, explained

The CVSS 3.1 score of 5.9 (MEDIUM) reflects a network-accessible vulnerability (AV:N) with no authentication required (PR:N) and no user interaction (UI:N), but with high attack complexity (AC:H) and limited impact scope. The high complexity score acknowledges that the attacker must carefully time sequential requests to exploit the race condition, and cannot rely on a simple or obvious attack method. However, once understood, the attack is repeatable and does not require sophisticated tools. The integrity impact (I:H) is clear: promo code controls are bypassed. There is no confidentiality or availability impact, so the scope remains unchanged. The score appropriately positions this as a moderate-severity business logic flaw rather than a critical vulnerability, but it should not be underestimated in the context of revenue-controlling systems.

Frequently asked questions

Can this vulnerability be exploited using concurrent requests, or must they be sequential?

The vulnerability is most reliably exploited using sequential (one-after-another) requests, not concurrent ones. With concurrent requests, database transaction locks or optimistic locking mechanisms might prevent duplicate usage increments. The flaw exists because the asynchronous UpdateEventStatisticsJob defers counter increment until after the validation check completes, creating a window where sequential requests all see the same stale counter value.

If I disable the UpdateEventStatisticsJob, does this eliminate the vulnerability?

Disabling the job would prevent counter updates entirely, which would break promo code usage tracking altogether rather than fixing the vulnerability. The root cause is the separation of validation and update logic; the real fix is to make them atomic or to validate against an authoritative counter that is immediately incremented, not deferred to a background job.

How can I detect if this vulnerability has been exploited in my Hi.Events instance?

Audit your reservation and order history for any promo codes that have been redeemed more times than their configured limit. Compare the order_usage_count in your database with the actual count of completed transactions using that code. Examine access logs for patterns of rapid sequential requests using the same promo code. These indicators may show past exploitation even if the vulnerability is not actively being abused today.

What versions of Hi.Events are confirmed patched?

Verify the first patched version number in the official Hi.Events security advisory or release notes. Do not rely on version numbers without confirmation from the vendor, as release cadence and patch application vary. Check the GitHub repository or your vendor's documented security fixes.

This analysis is provided for informational purposes to help security professionals understand and respond to CVE-2026-57959. It does not constitute legal advice, vendor endorsement, or a guarantee of exploit success or failure in any specific environment. Verify all patch versions, affected product lists, and remediation steps against official vendor documentation and security advisories before taking action. Test patches thoroughly in non-production environments. The details, timeline, and severity described here are based on publicly disclosed information current as of the analysis date; always consult the latest vendor guidance for the most up-to-date information. Source: NVD (public-domain), retrieved 2026-08-08. Analysis generated by SEC.co (claude-haiku-4-5).