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Strapi: Password Reset Does Not Revoke Existing Refresh Sessions

Low severity GitHub Reviewed Published May 13, 2026 in strapi/strapi • Updated May 15, 2026

Package

npm @strapi/admin (npm)

Affected versions

<= 5.33.2

Patched versions

5.33.3
npm @strapi/plugin-users-permissions (npm)
<= 5.33.2
5.33.3

Description

Summary of CVE-2026-22706 Vulnerability Details

  • CVE: CVE-2026-22706
  • CVSS v3.1 Vector: CVSS:4.0/AV:N/AC:H/AT:N/PR:H/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N (2.1 — Low)
  • Affected Versions: @strapi/admin and @strapi/plugin-users-permissions <=5.33.2
  • How to Patch: Immediately update your Strapi to >=5.33.3

Description of CVE-2026-22706

In Strapi versions prior to 5.33.3, changing or resetting a user's password did not invalidate the user's existing refresh-token sessions by default. The refresh-token invalidation step in the users-permissions and admin authentication controllers was conditional on a caller-supplied deviceId. When a password change or reset request did not include a deviceId, no refresh tokens were revoked, leaving every prior session active.

An attacker who had previously obtained a refresh token could continue minting new access tokens after the legitimate user reset their password, allowing persistent unauthorized access for the lifetime of the refresh token (up to 30 days by default). Rotating credentials no longer terminated an active attacker session, defeating password reset as a containment measure.

The patch invalidates all refresh tokens associated with the user on every password change and password reset, regardless of whether a deviceId is supplied. A new device-scoped session is then issued to the caller as part of the response.

IoC's for CVE-2026-22706

Indicators that an instance running an unpatched version may have been exploited:

  • Successful POST /api/auth/refresh or POST /admin/access-token requests using a refresh token issued before the user's most recent password change. Reviewable by correlating refresh-token iat claims against password-change events in audit logs
  • New access-token issuances for a user whose password was reset within the past 30 days, originating from an IP or User-Agent that did not perform the reset
  • Multiple active refresh tokens for a single user across distinct IPs after a password reset event
  • Database query: rows in strapi_session with created_at earlier than the user's most recent password-reset timestamp and status = 'active'

References

  • OWASP ASVS 4.0 – V2.1.1: Session invalidation on credential change
  • OWASP Top 10 – A2: Broken Authentication

Credits

  • bugbunny.ai
  • AndyAnh174 (concurrent report, 2026-04-09 — originally filed as GHSA-c6gj-8rxm-jrf2, closed as duplicate)
  • Aastha2602 (concurrent report, 2026-03-10 — originally filed as GHSA-5qvg-4jch-gvf4, closed as duplicate)

References

@derrickmehaffy derrickmehaffy published to strapi/strapi May 13, 2026
Published to the GitHub Advisory Database May 13, 2026
Reviewed May 13, 2026
Published by the National Vulnerability Database May 14, 2026
Last updated May 15, 2026

Severity

Low

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 v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity High
Attack Requirements None
Privileges Required High
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity Low
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:H/AT:N/PR:H/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA: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.
(19th percentile)

Weaknesses

Insufficient Session Expiration

According to WASC, Insufficient Session Expiration is when a web site permits an attacker to reuse old session credentials or session IDs for authorization. Learn more on MITRE.

CVE ID

CVE-2026-22706

GHSA ID

GHSA-hvp3-26wx-g2w4

Source code

Credits

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