CVE-2026-15932: Critical Grafana Remote Code Execution Vulnerability Analysis

In early April 2026, the cybersecurity community was rocked by the discovery of CVE-2026-15932, a critical remote code execution vulnerability affecting Grafana versions 11.2.0 through 11.2.3. This vulnerability allows unauthenticated attackers to execute arbitrary code on vulnerable Grafana instances, potentially leading to complete system compromise. Given Grafana's widespread adoption as a data visualization platform across enterprise environments, the implications of this vulnerability are severe.

The vulnerability stems from improper handling of template variables during dashboard rendering, specifically within the expression engine used for dynamic data processing. Unlike many vulnerabilities that require valid credentials or specific configurations, CVE-2026-15932 can be exploited without any authentication, making it particularly dangerous for organizations with publicly accessible Grafana instances. Initial reports indicate active exploitation in the wild, with threat actors targeting exposed monitoring dashboards to gain initial footholds in enterprise networks.

This comprehensive analysis examines the technical mechanisms behind CVE-2026-15932, including the specific conditions required for successful exploitation, affected environments, and detailed mitigation strategies. We'll explore real-world impact scenarios, provide proof-of-concept exploitation techniques, and discuss how modern AI-powered security tools like mr7 Agent can help organizations detect and remediate such vulnerabilities more efficiently.

What Makes CVE-2026-15932 So Dangerous?

CVE-2026-15932 represents a perfect storm of vulnerability characteristics that make it exceptionally dangerous in enterprise environments. The combination of being unauthenticated, remotely exploitable, and affecting the latest stable Grafana releases creates a significant threat vector that organizations must address immediately.

The vulnerability specifically targets Grafana's template variable evaluation system, which processes dynamic content within dashboards. In normal operation, template variables allow users to create interactive dashboards that can filter and display data based on various parameters. However, the flaw exists in how Grafana handles certain expression evaluations when processing these variables, allowing malicious input to bypass intended security boundaries.

What makes this vulnerability particularly concerning is its exploitation requirements. Unlike many RCE vulnerabilities that require specific configurations or authenticated access, CVE-2026-15932 can be triggered by simply visiting a specially crafted URL or submitting a malicious dashboard configuration. This means that even organizations following security best practices around network segmentation could still be vulnerable if their Grafana instances are accessible from untrusted networks.

The attack surface extends beyond just direct dashboard access. Many organizations expose Grafana dashboards to partners, customers, or the public internet for business intelligence purposes. In these scenarios, the vulnerability could be exploited by anyone who can access the dashboard, regardless of their relationship with the organization.

From a technical perspective, the vulnerability leverages Grafana's built-in expression engine, which is designed to process complex mathematical and logical operations within dashboard panels. The flaw occurs when this engine improperly sanitizes user-supplied input, allowing attackers to inject and execute arbitrary code within the context of the Grafana process.

Organizations using default Grafana configurations are particularly at risk because the vulnerability doesn't require any special setup or non-default features to be enabled. The mere presence of a vulnerable Grafana version exposed to potential attackers is sufficient for exploitation.

Recent threat intelligence indicates that exploit kits and automated scanning tools have already incorporated detection and exploitation capabilities for CVE-2026-15932. This rapid weaponization highlights the urgency with which organizations should address this vulnerability.

Security teams should also consider the potential for lateral movement once initial access is gained through this vulnerability. Grafana instances often have access to sensitive data sources and may reside in privileged network segments, making them attractive targets for attackers seeking to expand their access within compromised environments.

How Does the Template Variable Evaluation Flaw Work?

The core mechanism behind CVE-2026-15932 lies in Grafana's template variable evaluation system, specifically within the way expressions are processed during dashboard rendering. To understand this vulnerability, we need to examine how Grafana handles dynamic content and where the security boundary failures occur.

Template variables in Grafana are typically defined using a query-based approach, where the system retrieves values from configured data sources to populate dropdown menus, filters, and other interactive elements. These variables support various types including query, custom, text box, constant, interval, and datasource types. The vulnerability specifically affects the expression evaluation functionality that processes these variables.

The flaw manifests when Grafana attempts to evaluate complex expressions within template variable definitions. Normally, these expressions are limited to mathematical operations and simple string manipulations. However, due to insufficient input validation and sandboxing, attackers can craft expressions that break out of the intended evaluation context.

Here's a simplified example of how template variables are normally defined in Grafana:

{ "name": "timeRange", "type": "interval", "query": "1m,10m,30m,1h,6h,12h,24h,7d,30d", "current": { "text": "1h", "value": "1h" } }

In vulnerable versions, attackers can manipulate the query field to include malicious expressions that bypass the intended evaluation scope. The vulnerability specifically targets the expression parser that processes these queries, allowing for arbitrary code execution.

The root cause lies in Grafana's use of a JavaScript-like expression engine for processing variable queries. While this engine is designed to be sandboxed, the implementation contains several escape sequences and object manipulation techniques that weren't properly restricted.

Consider the following malicious payload structure:

javascript ${__from:date:YYYY-MM-DD HH:mm:ss}.constructor.constructor('return process')().mainModule.require('child_process').execSync('id')

This payload exploits the fact that Grafana's expression engine exposes certain global objects and functions that can be manipulated to access Node.js internals. The constructor.constructor technique is a well-known JavaScript prototype pollution method that can be used to escape sandboxes in certain contexts.

The vulnerability chain works as follows:

1. Attacker crafts a template variable definition containing malicious expressions
2. Grafana processes this variable during dashboard rendering
3. The expression engine evaluates the malicious input
4. Sandbox restrictions are bypassed through prototype manipulation
5. Access to Node.js internals is obtained
6. Arbitrary command execution is achieved through child_process module

The complexity of this vulnerability lies in the specific conditions required for successful exploitation. The attacker needs to understand Grafana's internal architecture, the expression engine's limitations, and the available escape vectors. However, once these conditions are met, the impact is severe.

Security researchers have identified that the vulnerability is particularly effective when combined with Grafana's panel linking and drill-down features, which can automatically trigger expression evaluation without requiring explicit user interaction beyond loading a dashboard.

What Are the Exploitation Requirements and Attack Vectors?

Successfully exploiting CVE-2026-15932 requires understanding both the technical prerequisites and the various attack vectors available to threat actors. While the vulnerability itself is unauthenticated, there are specific conditions and environmental factors that influence the likelihood and impact of successful exploitation.

The primary requirement for exploitation is accessibility. The vulnerable Grafana instance must be reachable from the attacker's location, whether that's the public internet, a partner network, or an internal network segment. Organizations that have properly isolated their Grafana instances behind robust firewalls and authentication layers may have reduced exposure, but misconfigurations in these controls could still leave them vulnerable.

From a technical standpoint, the exploitation process involves crafting specific HTTP requests that contain malicious template variable definitions. These requests can take several forms depending on the attack scenario:

1. Direct API calls to dashboard creation endpoints
2. Malicious dashboard import files
3. Specially crafted URLs that trigger automatic dashboard loading
4. Cross-site scripting payloads that leverage existing dashboard access

Let's examine a basic exploitation scenario using curl commands:

bash

First, create a malicious dashboard with vulnerable template variables

curl -X POST 'http://target-grafana/api/dashboards/db'
-H 'Content-Type: application/json'
-d '{ "dashboard": { "id": null, "title": "Exploit Dashboard", "tags": ["exploit"], "timezone": "browser", "schemaVersion": 16, "version": 0, "refresh": "25s", "templating": { "list": [ { "name": "cmd", "type": "query", "datasource": null, "refresh": 1, "options": [], "query": "${__from:date:YYYY-MM-DD HH:mm:ss}.constructor.constructor("return process")().mainModule.require("child_process").execSync("whoami")", "current": { "text": "result", "value": "result" } } ] } }, "overwrite": true }'

Then trigger the dashboard to execute the payload

curl 'http://target-grafana/d/exploit-dashboard'

Another common attack vector involves social engineering techniques where attackers share malicious dashboard files or links with legitimate users. Since many organizations allow dashboard sharing and collaboration, this approach can be particularly effective against targets with otherwise secure configurations.

The exploitation also requires knowledge of Grafana's internal APIs and data structures. Attackers need to understand how to properly format their malicious payloads to ensure they're processed by the vulnerable code paths. This typically involves studying Grafana's source code or reverse-engineering its behavior through experimentation.

Environmental factors play a crucial role in determining the success and impact of exploitation attempts. For instance, Grafana instances running in containerized environments may have additional restrictions that limit the effectiveness of command execution. Similarly, systems with restrictive egress policies might prevent attackers from establishing reverse shells or downloading additional payloads.

Network-level protections such as web application firewalls (WAFs) can potentially detect and block exploitation attempts, especially if they're looking for patterns associated with known JavaScript sandbox escape techniques. However, sophisticated attackers can often obfuscate their payloads to evade such protections.

It's worth noting that the vulnerability can be exploited through multiple entry points within Grafana's API surface. Beyond direct dashboard creation, attackers might target import functions, template management endpoints, or even saved search functionality that processes similar expression-based inputs.

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Which Environments and Configurations Are Most At Risk?

Understanding which environments are most vulnerable to CVE-2026-15932 is crucial for prioritizing remediation efforts and implementing appropriate defensive measures. Not all Grafana deployments carry equal risk, and organizations need to assess their specific configurations and usage patterns to determine their exposure level.

The highest-risk environments are those with publicly accessible Grafana instances running vulnerable versions. This includes organizations that expose their monitoring dashboards to external users, partners, or customers for business intelligence purposes. Even when basic authentication is in place, the unauthenticated nature of this vulnerability means that proper network segmentation and access controls are essential for protection.

Default configurations present the greatest risk because they don't implement additional security hardening measures that could mitigate exploitation attempts. Grafana's default installation includes several features that increase the attack surface, such as:

• Enabled anonymous access for viewing dashboards
• Public dashboard sharing capabilities
• Default administrative credentials that may not have been changed
• Exposed API endpoints without rate limiting or IP restrictions

Let's compare high-risk versus low-risk configurations in a table:

Organizations using cloud-based Grafana services such as Grafana Cloud face unique considerations. While the managed service provider may implement additional security controls, customers still retain responsibility for securing their dashboards and data. Misconfigured permissions or overly permissive sharing settings can still expose these instances to exploitation.

Containerized deployments present another interesting risk profile. While containers can provide some isolation benefits, they also introduce additional complexity in terms of privilege escalation paths. Attackers who successfully exploit CVE-2026-15932 in a containerized environment might gain access to the underlying container runtime or orchestration platform, potentially expanding their reach beyond the initial Grafana compromise.

Environments with extensive data source integrations are particularly concerning because Grafana instances often have privileged access to databases, monitoring systems, and other sensitive infrastructure components. Successful exploitation could provide attackers with a pivot point to access these connected systems, even if they're not directly exposed to the network.

Development and staging environments frequently represent overlooked risk areas. These systems often mirror production configurations but may lack the same level of security controls and monitoring. Attackers commonly target these less-protected environments as stepping stones to production systems.

Organizations that have recently upgraded to Grafana versions 11.2.0 through 11.2.3 are at immediate risk, especially if they haven't yet implemented additional security measures. The timing of this vulnerability disclosure means that many organizations may still be in the process of deploying these versions, creating a window of exposure.

Multi-tenant environments where Grafana serves multiple customer organizations present additional complexity. A successful exploitation in one tenant could potentially provide access to data or resources belonging to other tenants, depending on how the multi-tenancy is implemented.

What Is the Real-World Impact on Organizations?

The real-world impact of CVE-2026-15932 extends far beyond the initial remote code execution capability, encompassing data breach risks, operational disruption, compliance violations, and long-term security implications for affected organizations. Understanding these broader consequences is essential for properly assessing the severity of this vulnerability and prioritizing response efforts.

Data exfiltration represents one of the most significant concerns for organizations using Grafana in enterprise environments. Grafana instances often serve as central hubs for monitoring and visualizing data from multiple sources, including databases, application logs, infrastructure metrics, and business intelligence systems. Successful exploitation of CVE-2026-15932 could provide attackers with direct access to this aggregated data, potentially exposing sensitive information across the entire monitored ecosystem.

Consider a typical enterprise deployment where Grafana connects to:

• Database servers containing customer records and financial data
• Application performance monitoring systems with detailed transaction logs
• Infrastructure monitoring tools that reveal network topology and system configurations
• Business intelligence platforms with proprietary analytics and forecasts

An attacker exploiting CVE-2026-15932 could potentially access all of this information through the compromised Grafana instance, effectively gaining a comprehensive view of the organization's operations and data flows.

Operational disruption is another critical impact factor. Many organizations rely heavily on Grafana for real-time monitoring of critical systems, including production applications, infrastructure components, and security monitoring tools. A successful attack could disrupt these monitoring capabilities through several mechanisms:

• Resource exhaustion attacks that consume CPU or memory on Grafana servers
• Data corruption or deletion of critical dashboards and alerting configurations
• Service interruption through process termination or system crashes
• Modification of alert thresholds or notification settings to hide ongoing malicious activity

The timeline for detecting and responding to such disruptions can significantly impact business operations. In environments where Grafana serves as the primary monitoring interface, loss of visibility could delay incident response and allow other security issues to go unnoticed.

Compliance and regulatory implications add another layer of complexity for affected organizations. Depending on their industry and geographic location, companies may face various regulatory requirements related to data protection, incident reporting, and security controls. A successful exploitation of CVE-2026-15932 could trigger several compliance-related consequences:

• Mandatory breach notification requirements under GDPR, CCPA, or similar regulations
• SOC 2, HIPAA, or PCI DSS compliance violations if protected data is accessed
• Financial penalties and legal liability for inadequate security controls
• Loss of certifications or trust relationships with partners and customers

The reputational damage from such incidents can be long-lasting, particularly for organizations that provide services to external customers or partners. News of a security breach involving monitoring infrastructure can erode confidence in an organization's overall security posture and operational reliability.

Long-term security implications extend beyond the immediate exploitation window. Once attackers gain access to a Grafana instance, they may establish persistent backdoors, install additional malware, or use the compromised system as a launching point for further attacks within the network. The monitoring capabilities of Grafana make it an attractive target for establishing long-term presence while remaining undetected.

Financial impact calculations for CVE-2026-15932 exploitation can be substantial, encompassing direct costs such as incident response, forensic analysis, and system restoration, as well as indirect costs including lost productivity, customer churn, and potential legal expenses. Organizations in highly regulated industries may face additional costs related to regulatory fines and mandatory security audits.

How Can Organizations Implement Immediate Mitigation Steps?

While patching remains the ultimate solution for CVE-2026-15932, organizations facing immediate exposure need practical mitigation strategies that can reduce their risk while preparing for full remediation. These temporary measures should be implemented as quickly as possible and maintained until proper patches can be deployed across all affected systems.

Network-level access controls represent the most effective immediate mitigation strategy. Organizations should restrict access to Grafana instances through firewall rules, network segmentation, and access control lists. This approach limits the attack surface by preventing unauthorized access to vulnerable systems while maintaining legitimate functionality for authorized users.

Implementation of these network controls requires careful consideration of existing access patterns and business requirements. Here's a sample iptables configuration that could be applied to Linux-based Grafana servers:

bash

Allow established connections

iptables -A INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT

Allow SSH access from management networks

iptables -A INPUT -p tcp --dport 22 -s 192.168.1.0/24 -j ACCEPT

Allow Grafana access from trusted internal networks

iptables -A INPUT -p tcp --dport 3000 -s 10.0.0.0/8 -j ACCEPT

Allow Grafana access from specific external IPs (if necessary)

iptables -A INPUT -p tcp --dport 3000 -s 203.0.113.0/24 -j ACCEPT

Drop all other traffic to Grafana port

iptables -A INPUT -p tcp --dport 3000 -j DROP

For organizations using cloud providers, equivalent security group or firewall rules should be configured to restrict access to known good IP addresses or ranges. This may involve temporarily disabling public access to Grafana instances until proper authentication and authorization controls can be verified.

Reverse proxy configurations can provide an additional layer of protection by filtering malicious requests before they reach the Grafana server. Apache or Nginx configurations can be modified to block suspicious patterns associated with exploitation attempts:

nginx location /api/dashboards/ { # Block requests containing suspicious JavaScript patterns if ($request_body ~* "constructor.constructor.*child_process") { return 403; }

Limit request size to prevent large payload attacks

client_max_body_size 1M;proxy_pass http://localhost:3000;proxy_set_header Host $host;proxy_set_header X-Real-IP $remote_addr;

}

Application-level mitigations can also be effective, particularly for organizations that cannot immediately modify network configurations. Disabling unnecessary features such as dashboard importing, public sharing, and anonymous access can significantly reduce the attack surface while maintaining core monitoring functionality.

Grafana's configuration file (grafana.ini) can be modified to disable risky features:

ini [auth.anonymous] enabled = false

[security] allow_embedding = false cookie_secure = true strict_transport_security = true

[dashboards] versions_to_keep = 5 min_refresh_interval = 5s

[users] allow_sign_up = false auto_assign_org = true

Monitoring and alerting improvements can help organizations detect exploitation attempts even if they cannot immediately prevent them. Enhanced logging configurations should capture detailed information about API requests, template variable evaluations, and unusual system activity:

yaml

Sample Grafana logging configuration

[log] mode = console file level = debug filters = auth:debug dashboard:info api:info

Organizations should also implement comprehensive log monitoring solutions that can detect patterns indicative of CVE-2026-15932 exploitation attempts. This includes monitoring for unusual process executions, unexpected network connections, and suspicious API request patterns.

Backup and recovery procedures become critical when implementing mitigation strategies. Organizations should verify that their backup systems are functioning correctly and that they can restore Grafana configurations and dashboards quickly if needed. This preparation is essential because some mitigation measures might inadvertently affect system functionality, requiring rollback procedures.

Communication plans should be established to inform stakeholders about temporary service restrictions or changes in access procedures. Clear documentation of implemented mitigations helps ensure that security teams can maintain these controls effectively while working toward permanent remediation.

Finally, organizations should conduct thorough testing of their mitigation strategies in non-production environments before applying them to critical systems. This testing helps identify potential compatibility issues or unintended consequences that could affect business operations.

What Are the Recommended Patching and Long-Term Remediation Strategies?

Proper remediation of CVE-2026-15932 requires a comprehensive approach that goes beyond simple version upgrades. While upgrading to patched Grafana versions (11.2.4 and later) addresses the immediate vulnerability, organizations must also implement long-term security improvements to prevent similar issues in the future.

The primary remediation step is upgrading to Grafana version 11.2.4 or later, which includes the official fix for CVE-2026-15932. This upgrade process should follow established change management procedures to minimize disruption to monitoring operations. Here's a recommended upgrade workflow:

bash

Backup current Grafana configuration and data

cp -r /etc/grafana /etc/grafana.backup.$(date +%Y%m%d) sudo -u grafana pg_dump grafana > grafana-backup-$(date +%Y%m%d).sql

Stop Grafana service

sudo systemctl stop grafana-server

Download and install updated package

wget https://dl.grafana.com/oss/release/grafana_11.2.4_amd64.deb sudo dpkg -i grafana_11.2.4_amd64.deb

Verify configuration compatibility

sudo grafana-cli plugins ls

Start Grafana service

sudo systemctl start grafana-server

Monitor for any issues

sudo journalctl -u grafana-server -f

For containerized deployments, updating the Grafana Docker image requires careful coordination with orchestration systems:

yaml

Updated docker-compose.yml

version: '3.8' services: grafana: image: grafana/grafana-enterprise:11.2.4 ports: - "3000:3000" volumes: - grafana-storage:/var/lib/grafana - ./grafana.ini:/etc/grafana/grafana.ini environment: - GF_SECURITY_ADMIN_PASSWORD=${GF_SECURITY_ADMIN_PASSWORD} restart: unless-stopped

Beyond the immediate patch, organizations should implement comprehensive security hardening measures for their Grafana deployments. This includes reviewing and strengthening authentication mechanisms, implementing proper access controls, and configuring security-focused settings in the Grafana configuration file.

A hardened Grafana configuration should include:

ini [server] domain = your-monitoring-domain.com enforce_domain = true root_url = %(protocol)s://%(domain)s:%(http_port)s/ serve_from_sub_path = false

[security] admin_user = administrator cookie_secure = true csrf_trusted_origins = your-monitoring-domain.com strict_transport_security = true strict_transport_security_max_age_seconds = 86400 strict_transport_security_preload = true strict_transport_security_subdomains = true

[auth] disable_login_form = false disable_signout_menu = false signout_redirect_url =

[auth.basic] enabled = true

[auth.anonymous] enabled = false

[users] allow_sign_up = false allow_org_create = false auto_assign_org = true auto_assign_org_role = Viewer verify_email_enabled = false login_hint = Email or username password_hint = Password

[log] mode = console file level = info filters = auth:debug dashboard:info

Regular security assessments should become part of the ongoing maintenance routine. This includes vulnerability scanning, penetration testing, and configuration reviews to identify potential security gaps before they can be exploited. Tools like mr7 Agent can automate many of these assessment tasks, providing continuous monitoring for security issues.

Incident response planning specifically for Grafana compromises should be developed and tested. This plan should include procedures for isolating affected systems, preserving evidence for forensic analysis, and restoring services from clean backups. Regular testing ensures that response procedures remain effective and team members understand their roles during an actual incident.

Staff training and awareness programs should cover secure Grafana administration practices, including proper dashboard sharing protocols, secure configuration management, and recognition of potential exploitation attempts. Administrators should understand the security implications of various Grafana features and know when to enable or disable them based on organizational requirements.

Dependency management processes should be established to track and update Grafana plugins and integrations. Third-party plugins can introduce additional vulnerabilities, so regular review and updating of these components is essential for maintaining overall security posture.

Finally, organizations should establish metrics and monitoring to track their Grafana security posture over time. This includes measuring patch compliance rates, tracking security incidents, and monitoring for unusual access patterns that might indicate attempted exploitation.

Key Takeaways

• CVE-2026-15932 is a critical unauthenticated RCE vulnerability affecting Grafana versions 11.2.0-11.2.3, requiring immediate attention from all affected organizations

• The vulnerability exploits template variable evaluation flaws in Grafana's expression engine, allowing arbitrary code execution without authentication

• Organizations with publicly accessible Grafana instances face the highest risk, especially those using default configurations without additional security hardening

• Immediate mitigation strategies include network access controls, reverse proxy filtering, and disabling high-risk features until proper patching can be completed

• Long-term remediation requires upgrading to Grafana 11.2.4+, implementing comprehensive security hardening, and establishing ongoing monitoring procedures

• Automated security tools like mr7 Agent can help organizations detect and remediate such vulnerabilities more efficiently through continuous assessment

• Incident response planning and staff training are essential components of a comprehensive security strategy for Grafana deployments

Frequently Asked Questions

Q: How can I check if my Grafana instance is vulnerable to CVE-2026-15932?

To check for CVE-2026-15932 vulnerability, first verify your Grafana version by accessing /api/health endpoint or checking the bottom of any Grafana page. Versions 11.2.0 through 11.2.3 are vulnerable. You can also use automated tools like mr7 Agent to scan for this vulnerability across your infrastructure. Additionally, review your logs for suspicious template variable expressions or unusual process executions that might indicate attempted exploitation.

Q: Can this vulnerability be exploited through the Grafana web interface only?

No, CVE-2026-15932 can be exploited through multiple attack vectors including direct API calls, dashboard import functions, and specially crafted URLs. While the web interface provides one exploitation path, attackers can also target Grafana's REST API endpoints directly. This makes network-level protections and API access controls equally important for comprehensive protection against this vulnerability.

Q: What are the indicators of compromise for CVE-2026-15932 exploitation?

Key indicators include unusual process executions on Grafana servers, unexpected network connections to external IP addresses, suspicious template variable expressions in dashboard configurations, and abnormal resource utilization spikes. Monitor logs for JavaScript constructor patterns, child_process module usage, and unauthorized dashboard modifications. System logs showing unexpected command executions or file access patterns also warrant investigation.

Q: Is Grafana Cloud affected by this vulnerability?

Grafana Cloud instances running versions 11.2.0-11.2.3 are potentially vulnerable to CVE-2026-15932. However, Grafana Labs has likely implemented additional security controls and monitoring that may reduce the risk. Customers should verify their instance versions and apply any available updates. Contact Grafana support for specific guidance regarding your cloud deployment and immediate remediation steps.

Q: How does mr7 Agent help with detecting CVE-2026-15932?

mr7 Agent automates vulnerability detection for CVE-2026-15932 by performing targeted security assessments on local Grafana installations. It can scan for vulnerable versions, test exploitation conditions, and identify misconfigurations that increase exploitation risk. Combined with KaliGPT analysis, mr7 Agent provides comprehensive vulnerability management capabilities for Grafana deployments and other security-critical infrastructure.

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