CVE-2025-24897 in misskey
Summary
by MITRE • 02/11/2025
Misskey is an open source, federated social media platform. Starting in version 12.109.0 and prior to version 2025.2.0-alpha.0, due to a lack of CSRF protection and the lack of proper security attributes in the authentication cookies of Bull's dashboard, some of the APIs of bull-board may be subject to CSRF attacks. There is a risk of this vulnerability being used for attacks with relatively large impact on availability and integrity, such as the ability to add arbitrary jobs. This vulnerability was fixed in 2025.2.0-alpha.0. As a workaround, block all access to the `/queue` directory with a web application firewall (WAF).
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Analysis
by VulDB Data Team • 11/26/2025
CVE-2025-24897 represents a critical cross-site request forgery vulnerability affecting Misskey versions 12.109.0 through 2025.2.0-alpha.0. This vulnerability stems from insufficient csrf protection mechanisms within the Bull dashboard's authentication cookie implementation, creating a pathway for malicious actors to exploit the system's job queue management functionality. The flaw specifically impacts the bull-board apis that handle job processing, enabling unauthorized operations through crafted requests that appear legitimate to the system's authentication mechanisms. The vulnerability's classification aligns with CWE-352, which defines cross-site request forgery as a weakness where the application fails to validate that requests originate from the authenticated user. This weakness creates a direct pathway for attackers to manipulate the queue system, potentially leading to service disruption, data corruption, or unauthorized job execution that could compromise system integrity and availability. The vulnerability's impact extends beyond simple privilege escalation as it allows for arbitrary job injection into the queue processing system, potentially enabling attackers to schedule malicious tasks that could execute with elevated privileges or cause system resource exhaustion.
The technical implementation flaw manifests in the authentication cookie attributes that fail to include essential security measures such as the SameSite attribute or proper secure flags. This absence allows attackers to craft malicious requests that can be executed in the context of authenticated users without their knowledge or consent. The vulnerability affects the Bull dashboard's api endpoints that manage job queues, particularly those responsible for job creation, modification, and deletion operations. Attackers can leverage this weakness to inject malicious jobs into the queue system, potentially causing denial of service through resource exhaustion or executing unauthorized commands that compromise system integrity. The attack surface is further expanded by the federated nature of Misskey, which means that compromised instances could potentially affect the broader network of connected servers through the propagation of malicious jobs across the federation. The vulnerability's exploitation requires minimal user interaction since the attack can be executed through social engineering techniques or by exploiting existing user sessions that lack proper csrf protection mechanisms.
The operational impact of this vulnerability extends significantly beyond traditional security implications, as it can lead to substantial availability disruption and data integrity compromise within the affected systems. Attackers can leverage the ability to add arbitrary jobs to the queue to consume system resources, potentially causing denial of service conditions that affect legitimate users' ability to access the social media platform. The vulnerability also poses risks to data integrity as malicious jobs could be designed to modify or delete existing queue entries, corrupting the job processing workflow. The federated nature of Misskey compounds these risks, as a compromised instance could potentially affect the broader network of connected servers through malicious job propagation. The vulnerability's impact on availability is particularly concerning given that job queues often form critical components of application infrastructure, where disruption can cascade to affect multiple system functions and user experiences across the federated network. Organizations using affected Misskey versions face potential exposure to automated attacks that could systematically exploit this weakness to overwhelm queue systems and degrade service quality.
Mitigation strategies for CVE-2025-24897 should prioritize immediate implementation of the recommended workaround involving web application firewall rules to block access to the /queue directory. This approach provides immediate protection while more comprehensive fixes are implemented, aligning with ATT&CK technique T1190 which focuses on exploiting vulnerabilities in web applications. Organizations should also implement proper SameSite cookie attributes and secure flag settings to prevent csrf attacks from exploiting session management weaknesses. The fix implemented in version 2025.2.0-alpha.0 addresses the core issue by introducing proper csrf protection mechanisms and ensuring that authentication cookies include appropriate security attributes to prevent unauthorized requests from being processed as legitimate user actions. Network segmentation and access control measures should be implemented to limit exposure of queue management interfaces to trusted users only, reducing the attack surface available to potential attackers. Regular security audits and penetration testing should be conducted to identify similar vulnerabilities in other components of the system, particularly those involving session management and api endpoint security. The implementation of rate limiting and monitoring for queue operations can help detect anomalous job creation patterns that may indicate exploitation attempts, providing early warning capabilities to system administrators. Additionally, organizations should ensure that all federated instances maintain consistent security configurations to prevent attackers from exploiting the weakest link in the federated network.