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Pterodactyl Panel Allows Cross-Node Server Configuration Disclosure via Remote API Missing Authorization

Critical severity GitHub Reviewed Published Feb 14, 2026 in pterodactyl/panel • Updated Feb 19, 2026

Package

composer pterodactyl/panel (Composer)

Affected versions

< 1.12.1

Patched versions

1.12.1

Description

Summary

A missing authorization check in multiple controllers allows any user with access to a node secret token to fetch information about any server on a Pterodactyl instance, even if that server is associated with a different node. This issue stems from missing logic to verify that the node requesting server data is the same node that the server is associated with.

Any authenticated Wings node can retrieve server installation scripts (potentially containing secret values) and manipulate the installation status of servers belonging to other nodes. Wings nodes may also manipulate the transfer status of servers belonging to other nodes.

This vulnerability requires a user to acquire a secret access token for a node. We rated this issue based on potential worst outcome. Unless a user gains access to a Wings secret access token they would not be able to access any of these vulnerable endpoints, as every endpoint requires a valid node access token.

Details

  1. The Remote API endpoint GET /api/remote/servers/{uuid} fetches a server by UUID and returns its complete configuration without verifying that the requesting node owns the server.
  2. Both failure() and success() methods in ServerTransferController fetch servers by UUID without verifying node ownership.
  3. Missing authorization checks in ServerInstallController allow any authenticated Wings node to retrieve egg installation scripts (containing deployment secrets) and manipulate the installation status of servers belonging to other nodes.

Impact

A single compromised Wings node daemon token (stored in plaintext at /etc/pterodactyl/config.yml) grants access to sensitive configuration data of every server on the panel, rather than only to servers that the node has access to. An attacker can use this information to move laterally through the system, send excessive notifications, destroy server data on other nodes, and otherwise exfiltrate secrets that they should not have access to with only a node token.

Additionally, triggering a false transfer success causes the panel to delete the server from the source node, resulting in permanent data loss.

References

@DaneEveritt DaneEveritt published to pterodactyl/panel Feb 14, 2026
Published to the GitHub Advisory Database Feb 17, 2026
Reviewed Feb 17, 2026
Published by the National Vulnerability Database Feb 19, 2026
Last updated Feb 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 High
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity Low
Availability Low

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:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:L/SA:L

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.
(18th percentile)

Weaknesses

Unverified Ownership

The product does not properly verify that a critical resource is owned by the proper entity. Learn more on MITRE.

Authorization Bypass Through User-Controlled Key

The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. Learn more on MITRE.

CVE ID

CVE-2026-26016

GHSA ID

GHSA-g7vw-f8p5-c728

Source code

Credits

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