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Rack session gets restored after deletion

Moderate severity GitHub Reviewed Published May 8, 2025 in rack/rack-session • Updated May 9, 2025

Package

bundler rack-session (RubyGems)

Affected versions

>= 2.0.0, < 2.1.1

Patched versions

2.1.1

Description

Summary

When using the Rack::Session::Pool middleware, simultaneous rack requests can restore a deleted rack session, which allows the unauthenticated user to occupy that session.

Details

Rack session middleware prepares the session at the beginning of request, then saves is back to the store with possible changes applied by host rack application. This way the session becomes to be a subject of race conditions in general sense over concurrent rack requests.

Impact

When using the Rack::Session::Pool middleware, and provided the attacker can acquire a session cookie (already a major issue), the session may be restored if the attacker can trigger a long running request (within that same session) adjacent to the user logging out, in order to retain illicit access even after a user has attempted to logout.

Mitigation

  • Update to the latest version of rack-session, or
  • Ensure your application invalidates sessions atomically by marking them as logged out e.g., using a logged_out flag, instead of deleting them, and check this flag on every request to prevent reuse, or
  • Implement a custom session store that tracks session invalidation timestamps and refuses to accept session data if the session was invalidated after the request began.

Related

This code was previously part of rack in Rack < 3, see GHSA-vpfw-47h7-xj4g for the equivalent advisory in rack (affecting Rack < 3 only).

References

@ioquatix ioquatix published to rack/rack-session May 8, 2025
Published to the GitHub Advisory Database May 8, 2025
Reviewed May 8, 2025
Published by the National Vulnerability Database May 8, 2025
Last updated May 9, 2025

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
High
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
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:H/PR:L/UI:N/S:U/C:L/I:L/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.
(4th percentile)

CVE ID

CVE-2025-46336

GHSA ID

GHSA-9j94-67jr-4cqj

Source code

Credits

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