CVE-2026-34724
Published: 08 April 2026
Summary
CVE-2026-34724 is a high-severity Code Injection (CWE-94) vulnerability in Zammad Zammad. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other AI Platforms.
The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).
Threat & Defense at a Glance
Threat & Defense Details
Mitigating Controls (NIST 800-53 r5)AI
Directly addresses the CVE by requiring timely flaw remediation through patching to Zammad 7.0.1, eliminating the SSTI vulnerability.
Prevents exploitation of the server-side template injection by validating and sanitizing attacker-controlled type_enrichment_data inputs.
Reduces attack surface by enforcing least privilege, limiting configuration of type_enrichment_data to only necessary high-privilege administrators.
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Server-side template injection in a web-based public-facing application directly enables exploitation via T1190; resulting arbitrary code execution on the server facilitates T1059 Command and Scripting Interpreter.
NVD Description
Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.1, a server-side template injection vulnerability which leads to RCE via AI Agent exists. Impact is limited to environments where an attacker can control or influence type_enrichment_data (typically…
more
high-privilege administrative configuration). This vulnerability is fixed in 7.0.1.
Deeper analysisAI
CVE-2026-34724 is a server-side template injection vulnerability in Zammad, a web-based open source helpdesk and customer support system. Affecting versions prior to 7.0.1, the flaw exists in the AI Agent component and allows remote code execution (RCE) when an attacker can control or influence the type_enrichment_data parameter, which is typically configured by high-privilege administrators. The vulnerability is associated with CWE-94 (Improper Control of Generation of Code) and CWE-1336 (Incorrect Handling of Code Blocks in Templating Engine), earning a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
Exploitation requires high privileges (PR:H), limiting it to authenticated attackers with administrative access who can manipulate type_enrichment_data during configuration. Successful exploitation enables arbitrary code execution on the server, potentially granting full control over the affected Zammad instance with high confidentiality, integrity, and availability impacts.
The official advisory on GitHub (GHSA-fg9w-jg8f-4j94) confirms the issue is fixed in Zammad 7.0.1, recommending immediate upgrades to mitigate the vulnerability. No workarounds are specified beyond applying the patch.
Details
- CWE(s)
Affected Products
AI Security AnalysisAI
- AI Category
- Other AI Platforms
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai