This vulnerability allows arbitrary KQL queries to be executed against Azure Data Explorer clusters due to improper handling of the table_name parameter in multiple MCP tool handlers. Versions up to and including 0.1.1 are affected. The CVSS score for this vulnerability is 8.3, indicating a high-severity risk. Given the nature of KQL injection, attackers may leverage this vulnerability to manipulate or extract sensitive information from the database.
Risk to organizations includes potential unauthorized access to sensitive data, manipulation of database content, and disruptions to business operations. The vulnerability has been publicly disclosed and is considered actively exploitable. Organizations should prioritize patching immediately to safeguard their Azure Data Explorer environments.
The vulnerability was published on March 27, 2026, and has since been analyzed. It is essential for organizations utilizing Azure Data Explorer MCP Server to assess their exposure and implement the necessary patches to mitigate this risk.
The urgency for defenders is high, given the potential impact. Organizations should address this in their priority patch cycle to prevent exploitation.
Vulnerability Details
The Azure Data Explorer MCP Server is designed to enable AI assistants to execute KQL queries and explore ADX/Kusto databases. The vulnerability arises from the interpolation of the table_name parameter directly into KQL queries via f-strings without sufficient validation or sanitization. This flaw allows attackers to craft arbitrary KQL queries.
The CVSS score of 8.3 indicates a high severity, classified as a network vulnerability with low attack complexity and low privileges required. The potential impacts include high confidentiality and integrity impacts, while the availability impact is low.
This vulnerability is categorized under CWE-943, which pertains to improper neutralization of special elements in data. Organizations running vulnerable versions should take immediate action to upgrade to the patched version identified in commit 0abe0ee55279e111281076393e5e966335fffd30.
Technical Analysis
The root cause of this vulnerability lies in the lack of input validation and sanitization when handling user-supplied parameters in KQL queries. Attackers can exploit this by injecting malicious KQL code through the vulnerable handlers.
The attack vector is network-based, allowing remote exploitation without the need for user interaction. The attack complexity is low, and only low privileges are required, making it easier for attackers to exploit the vulnerability. The impact of successful exploitation can lead to unauthorized access and modification of sensitive data within the Azure Data Explorer.
Risk & Impact Analysis
Organizations deploying Azure Data Explorer are at significant risk if they do not address this vulnerability. The potential for an attacker to execute arbitrary queries means that sensitive data could be leaked or modified, leading to severe consequences for business operations and data integrity.
The urgency to remediate this vulnerability cannot be overstated. With a high CVSS score and confirmed exploitability, organizations are advised to prioritize patching in their immediately upcoming patch cycles to prevent unauthorized access.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects all versions of Azure Data Explorer MCP Server up to and including 0.1.1. Organizations should ensure they upgrade to the patched version to mitigate exposure.
Mitigation & Remediation
To remediate this issue, organizations must upgrade to the latest version of Azure Data Explorer MCP Server that includes the patch addressing this vulnerability. The specific commit reference for the patch is 0abe0ee55279e111281076393e5e966335fffd30. If a patch is not immediately available, consider implementing input validation and sanitization controls to mitigate risks.
For additional security measures, organizations can engage in penetration testing to identify and remediate similar vulnerabilities.
Detection Guidance
Organizations should monitor logs for unusual query patterns that may indicate exploitation attempts. Additionally, behavioral anomalies in database access should be flagged for further investigation. Network signatures that correlate with KQL injection attacks should be implemented as part of a comprehensive security strategy.
AppSecure Threat Intelligence Insight
This vulnerability highlights the ongoing risk associated with improper input handling in database systems. As organizations increasingly integrate AI into their data processing workflows, ensuring robust security controls around database access is critical. The trend of KQL injection attacks is expected to grow as more organizations leverage AI for data exploration.
Organizations should adopt proactive measures, including implementing secure coding practices and conducting regular security assessments, to identify and mitigate similar vulnerabilities in their environments. For more information on best practices, organizations can refer to the vulnerability management program.
In conclusion, the Azure Data Explorer MCP Server vulnerability serves as a reminder of the importance of robust input validation and the need for organizations to remain vigilant against evolving security threats.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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