CWE-367Weakness · CWE-367

CVE-2026-57959

MEDIUM · 5.9 CVSS v3.1 Published 2026-06-29
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
68/100
Remediation priority · Elevated
Remotely reachable No privileges Zero-click 8 weeks old

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
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.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

Hi.Events through 1.9.0 has a time-of-check-to-time-of-use (TOCTOU) race condition in promo code validation. The reservation checks the promo code's usage count synchronously but increments it asynchronously via UpdateEventStatisticsJob, allowing sequential reservations to each see count=0 and pass validation before any increment occurs.

MitigationImplement atomic database operations (e.g., SELECT FOR UPDATE or conditional UPDATE with WHERE usage_count < limit) to ensure the usage count check and increment happen in a single atomic transaction, eliminating the race window.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
High
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
None

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check Hi.Events version
    Locate the version file or package.json in the Hi.Events installation directory to determine the installed version number
    Affected if version is 1.9.0 or lower
  2. Verify promo code feature is enabled
    Check the application configuration or database for active promo codes in the system
    Affected if promo codes are actively used in the application
  3. Identify the UpdateEventStatisticsJob handler
    Locate the job handler file named UpdateEventStatisticsJob in the codebase and examine its logic for incrementing promo code usage counts
    Affected if the job increments promo code usage asynchronously without locking
  4. Examine promo code validation code path
    Find the controller or service method that validates promo codes during reservation and verify if the usage count check and increment happen in separate operations
    Affected if validation checks usage count synchronously while increment happens via a queued job
  5. Check database transaction isolation
    Review the database queries used for promo code validation to determine if SELECT FOR UPDATE or atomic conditional updates are used
    Affected if the check and increment are performed as separate, non-atomic operations

A user is affected if they are running Hi.Events version 1.9.0 or lower and use the promo code feature, with the usage count check and increment happening as separate non-atomic operations.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Implement atomic database operations (e.g., SELECT FOR UPDATE or conditional UPDATE with WHERE usage_count < limit) to ensure the usage count check and increment happen in a single atomic transaction, eliminating the race window.

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing4.0 h
  • Review / QA2.0 h
15.0 hours of engineering $2,640
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-57959 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data