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Two state-mutating endpoints in pgAdmin 4's SQL Editor...

Critical severity Unreviewed Published Jun 19, 2026 to the GitHub Advisory Database • Updated Jun 19, 2026

Package

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Affected versions

Unknown

Patched versions

Unknown

Description

Two state-mutating endpoints in pgAdmin 4's SQL Editor blueprint -- DELETE /sqleditor/close/<trans_id> and POST /sqleditor/initialize/sqleditor/update_connection/// -- were the only routes in the module missing the @pga_login_required decorator. Both reach a pickle.loads sink on session['gridData'][<trans_id>]['command_obj']: the close endpoint via close_sqleditor_session(), and update_sqleditor_connection via check_transaction_status(). In server mode these endpoints were reachable without any authenticated pgAdmin session.

The defect is a missing-authentication-on-critical-function (CWE-306) wrapper around a deserialization-of-untrusted-data sink (CWE-502). Exploiting it for remote code execution requires the attacker to also forge a server-side session file whose gridData entry contains a malicious pickle payload, which in turn requires both (a) knowledge of pgAdmin's Flask SECRET_KEY (no chain to leak it is described here -- the attacker must already possess it) and (b) write access to pgAdmin's sessions/ directory on the host. Neither precondition is granted by this defect on its own. When those preconditions are met from another channel (misconfigured deployment, prior compromise, leaked configuration), the missing auth gate is the final hop that turns an existing partial compromise into unauthenticated code execution in the pgAdmin process -- and, by extension, on the host under whatever account runs pgAdmin.

Fix is a one-line @pga_login_required decorator on each of the two endpoints, matching the convention used by every other route in the module. The is_authenticated / MFA chain now runs before the trans_id is dereferenced, so an unauthenticated request is rejected before reaching the deserialization path.

The defect is server-mode only. In DESKTOP mode pgAdmin's before_request hook re-authenticates DESKTOP_USER on every request, so no endpoint can be exercised in an unauthenticated state and no auth decorator (or its absence) is meaningful. The accompanying regression test mirrors the attacker's path -- harvests an X-pgA-CSRFToken from GET /login and replays it against both endpoints -- and self-skips outside server mode for that reason; it is wired into the existing server-mode CI workflow alongside the data-isolation tests.

This issue affects pgAdmin 4: from 6.9 before 9.16.

References

Published by the National Vulnerability Database Jun 19, 2026
Published to the GitHub Advisory Database Jun 19, 2026
Last updated Jun 19, 2026

Severity

Critical

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 Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality High
Integrity High
Availability High

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:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

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.
(49th percentile)

Weaknesses

Missing Authentication for Critical Function

The product does not perform any authentication for functionality that requires a provable user identity or consumes a significant amount of resources. Learn more on MITRE.

CVE ID

CVE-2026-12046

GHSA ID

GHSA-mmqg-h4qx-g8qv

Source code

No known source code

Dependabot alerts are not supported on this advisory because it does not have a package from a supported ecosystem with an affected and fixed version.

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