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Paymenter has a credit-refund double-spend race condition in service downgrade (doUpgrade)

Moderate severity GitHub Reviewed Published Aug 13, 2026 in Paymenter/Paymenter • Updated Sep 18, 2026

Package

composer paymenter/paymenter (Composer)

Affected versions

<= 1.5.6

Patched versions

1.5.7

Description

Summary

The service downgrade implementation in app/Livewire/Services/Upgrade.php::doUpgrade() executes a proration calculation and a subsequent user credit refund without any transactional safety or database locks. The only concurrency check relies on an unisolated database query checking for existing pending upgrades. Because there is no active database transaction or pessimistic row-level lock spanning this validation and the subsequent credit update, concurrent downgrade requests can bypass the guard simultaneously. This allows a user to trigger multiple refunds for a single service downgrade.

Technical Details

The issue occurs because the application verifies eligibility using an unlocked read operation (Service::upgradable) which checks if a pending upgrade row exists. Since there is no enclosing DB::transaction or lockForUpdate(), multiple requests sent in parallel can all query the database at the same millisecond, observe that no pending upgrade exists, and pass the safety check.

Once passed, each concurrent request inserts its own pending upgrade record and executes $credit->increment('amount', abs($price)). Because the balance updates are not serialized against the initial check, the user's credit balance is cumulatively inflated by $N$ times the refund amount for a single legitimate downgrade.

Impact

This race condition allows any authenticated customer with an active, downgradable service to inflate their spendable credit balance to an arbitrary multiple of their legitimate refund amount.

Because the newly granted balance acts as real, spendable store credit, it can be immediately leveraged to settle future platform invoices or provision additional services, resulting in direct financial and resource loss to the operator.

References

@CorwinDev CorwinDev published to Paymenter/Paymenter Aug 13, 2026
Published to the GitHub Advisory Database Sep 18, 2026
Reviewed Sep 18, 2026
Last updated Sep 18, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(24th percentile)

Weaknesses

Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')

The product contains a concurrent code sequence that requires temporary, exclusive access to a shared resource, but a timing window exists in which the shared resource can be modified by another code sequence operating concurrently. Learn more on MITRE.

CVE ID

CVE-2026-71537

GHSA ID

GHSA-5gmm-hjfj-8ff7

Source code

Credits

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