CVE-2026-2456 Overview
CVE-2026-2456 is a Denial of Service (DoS) vulnerability affecting Mattermost Server that allows an authenticated attacker to cause server memory exhaustion. The vulnerability exists because Mattermost fails to limit the size of responses from integration action endpoints. When a user clicks an interactive message button, a malicious integration server can return an arbitrarily large response, leading to memory exhaustion and denial of service.
Critical Impact
Authenticated attackers can leverage malicious integration servers to crash Mattermost instances, disrupting team communications and collaboration services across the organization.
Affected Products
- Mattermost Server versions 11.3.x <= 11.3.0
- Mattermost Server versions 11.2.x <= 11.2.2
- Mattermost Server versions 10.11.x <= 10.11.10
Discovery Timeline
- 2026-03-16 - CVE-2026-2456 published to NVD
- 2026-03-18 - Last updated in NVD database
Technical Details for CVE-2026-2456
Vulnerability Analysis
This vulnerability is classified as CWE-789: Memory Allocation with Excessive Size Value. The core issue stems from Mattermost's integration action endpoint handling, which processes responses from external integration servers without enforcing size limits. When users interact with interactive message buttons in Mattermost channels, the server makes requests to configured integration endpoints and processes their responses.
The lack of response size validation creates an exploitable condition where an attacker-controlled integration server can return an excessively large payload. Since the Mattermost server attempts to allocate memory for the entire response, this can rapidly exhaust available server memory, leading to service degradation or complete denial of service.
This vulnerability requires authentication (a valid Mattermost user account) and user interaction (clicking an interactive message button), which limits the attack surface. However, in environments where users routinely interact with integrations, exploitation becomes more feasible.
Root Cause
The root cause is insufficient input validation on responses received from integration action endpoints. Mattermost does not implement proper boundary checks or streaming mechanisms to limit memory consumption when processing integration responses. This allows unbounded memory allocation based on attacker-controlled data, violating secure coding practices for handling external data sources.
Attack Vector
The attack requires an authenticated user to interact with a malicious interactive message. The attacker must either:
- Compromise an existing integration server
- Social engineer an administrator into adding a malicious integration
- Exploit misconfigured integration permissions to add their own malicious endpoint
When a user clicks the interactive button, the Mattermost server contacts the integration endpoint and attempts to process the oversized response, triggering memory exhaustion. The network-based attack vector combined with the requirement for user interaction means the attacker cannot directly trigger the vulnerability remotely without user participation.
The vulnerability can be exploited by configuring a malicious integration server to return an arbitrarily large HTTP response body when the Mattermost server calls the action endpoint. Since there is no limit enforced on the response size, the server will attempt to read and process the entire payload, causing memory to grow uncontrollably until the service crashes or becomes unresponsive.
Detection Methods for CVE-2026-2456
Indicators of Compromise
- Unusual memory spikes on Mattermost server processes following user interactions with integrations
- Integration action requests to suspicious or recently added external endpoints
- Server crashes or out-of-memory (OOM) events correlated with integration button clicks
- Abnormally large HTTP responses logged from integration endpoints
Detection Strategies
- Monitor server memory utilization with alerts for sudden, abnormal growth patterns
- Implement network traffic analysis to identify unusually large responses from integration endpoints
- Review integration configurations for recently added or modified external webhook URLs
- Enable verbose logging for integration actions and analyze response sizes
Monitoring Recommendations
- Configure memory monitoring thresholds on Mattermost server hosts to alert on rapid memory consumption
- Implement rate limiting and response size logging at the network perimeter for integration traffic
- Establish baseline metrics for normal integration response sizes to detect anomalies
- Monitor system logs for OOM killer events or process restarts related to Mattermost services
How to Mitigate CVE-2026-2456
Immediate Actions Required
- Update Mattermost Server to the latest patched version immediately
- Audit all configured integrations and verify the legitimacy of external action endpoints
- Implement network-level response size limits for outbound integration requests if possible
- Consider temporarily disabling interactive message buttons if immediate patching is not feasible
Patch Information
Mattermost has released security patches addressing this vulnerability. Organizations should upgrade to patched versions as documented in the Mattermost Security Updates advisory (MMSA-2026-00571). The fix implements proper response size limits for integration action endpoints, preventing memory exhaustion attacks.
Workarounds
- Restrict integration permissions to trusted administrators only
- Review and remove any unnecessary or untrusted integrations from the system
- Implement a reverse proxy with response size limits in front of the Mattermost server
- Monitor and alert on abnormal memory usage patterns as an early warning system
# Example: Configure nginx reverse proxy with response size limits
# Add to nginx server configuration for Mattermost
proxy_max_temp_file_size 10m;
proxy_buffer_size 4k;
proxy_buffers 8 16k;
proxy_busy_buffers_size 24k;
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

