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VulnerabilityPublished

CVE-2026-33980: pab1it0 adx-mcp-server · Improper Neutralization of Special Elements in Data Query Logic

Affects pab1it0 adx-mcp-serverSource CVE Database V5

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Not known to be exploited · CVSS 8.3 High · patch available : patch pab1it0 adx-mcp-server soon.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 3.1 base score
8.3High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 34% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    Public exploit code: GitHub proofs of concept

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
pab1it0adx-mcp-serverAffected
  • <=1.1.0
Fixed in–
GitHubpab1it0/adx-mcp-serverpkg:github/pab1it0/adx-mcp-serverOther threatsAffected
  • <=1.1.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

  1. Immediately upgrade the pab1it0 adx-mcp-server to version 1.1.1 or later where the vulnerability is patched.
  2. Implement strict input validation and sanitization on all user-supplied parameters, especially 'table_name', to neutralize special characters and prevent query injection.
  3. Employ least privilege principles for accounts accessing the MCP server to limit potential damage from exploitation.
  4. Monitor and audit KQL query logs for unusual or unauthorized query patterns indicative of injection attempts.
  5. Use network segmentation and firewall rules to restrict access to the MCP server to trusted sources only.
  6. Consider deploying Web Application Firewalls (WAFs) or query filtering mechanisms that can detect and block suspicious KQL injection payloads.
  7. Educate AI assistant developers and operators about the risks of prompt injection and enforce secure coding practices when integrating AI with data query interfaces.
  8. Regularly review and update security policies for AI-driven data access to include threat modeling for injection attacks.

Description

Azure Data Explorer MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to execute KQL queries and explore Azure Data Explorer (ADX/Kusto) databases through standardized interfaces. Versions up to and including 0.1.1 contain KQL (Kusto Query Language) injection vulnerabilities in three MCP tool handlers: `get_table_schema`, `sample_table_data`, and `get_table_details`. The `table_name` parameter is interpolated directly into KQL queries via f-strings without any validation or sanitization, allowing an attacker (or a prompt-injected AI agent) to execute arbitrary KQL queries against the Azure Data Explorer cluster. Commit 0abe0ee55279e111281076393e5e966335fffd30 patches the issue.

References

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