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Threats, Abuse & Incident Response

What breaks when LiquidJS template input is not trusted?

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By NHI Mgmt Group Editorial Team Updated June 9, 2026 Domain: Threats, Abuse & Incident Response

The rendering engine can become a code-execution path instead of a text-processing layer. In CVE-2026-45618, crafted template input can reach internal JavaScript execution contexts and lead to arbitrary command execution, file reads, and host compromise. The practical failure is that the template boundary no longer protects the runtime.

Why This Matters for Security Teams

When LiquidJS templates accept untrusted input, the risk is not limited to malformed output. The template itself can become an execution surface, which means a content issue turns into an application security issue. That distinction matters because template systems are often embedded in workflows that process emails, invoices, notifications, and automation tasks, where a single injection path can reach secrets, files, or command execution.

For security teams, the real failure is assuming template variables are inert text. In practice, Liquid-style rendering is frequently used inside systems that already hold API keys, database credentials, and service tokens, so the blast radius can extend well beyond the page or message being rendered. The NIST Cybersecurity Framework 2.0 remains useful here because it frames this as a protect-and-monitor problem, not just a developer bug. NHI Mgmt Group has also documented how weak secrets hygiene compounds these failures, including in the Ultimate Guide to Non-Human Identities.

NHIMg research shows that 79% of organisations have experienced secrets leaks, and 77% of those incidents caused tangible damage, which is why template injection should be treated as a real credential exposure path, not a cosmetic rendering defect. In practice, many security teams encounter this only after a template payload has already been used to pivot into a broader runtime compromise.

How It Works in Practice

LiquidJS is designed to transform template syntax into rendered output, but that safety boundary depends on the input being trusted or tightly constrained. If an attacker can influence the template body itself, they may be able to invoke helpers, access properties, or reach execution paths that were never intended for end users. That is why the defensive model must shift from “sanitize the value” to “control who can author the template.”

Operationally, the safest approach is to separate template authorship from template data. Use allowlisted templates, keep rendering logic out of request bodies, and treat any dynamic template source as code, not content. If the application must render user-controlled markup, isolate the renderer, reduce available helpers, and run the process with minimal filesystem and network permissions. The Schneider Electric credentials breach is a reminder that once an application boundary fails, the resulting exposure often involves more than one credential class. For implementation guidance, the core principles in NIST Cybersecurity Framework 2.0 align well with this problem: restrict, monitor, and recover.

  • Keep templates server-owned and version-controlled.
  • Pass only data, never user-supplied template logic.
  • Disable or tightly review any custom helpers and filters.
  • Run rendering in a low-privilege sandbox with no direct secret access.
  • Log template creation, update, and execution events for review.

These controls tend to break down when applications support arbitrary tenant-authored templates or plugin-driven rendering, because the template layer starts behaving like a general-purpose scripting environment.

Common Variations and Edge Cases

Tighter template controls often increase workflow friction, requiring organisations to balance user flexibility against execution safety. That tradeoff is real in multi-tenant SaaS, email personalisation engines, and CI/CD notification systems where non-developers expect to edit template content quickly.

There is no universal standard for this yet, but current guidance suggests that higher-risk contexts should use precompiled templates, strict helper allowlists, and isolated execution. A common edge case is “safe” template reuse across environments: a template that is benign in staging can become dangerous in production if it can reach secrets, internal metadata, or privileged service accounts. The Ultimate Guide to Non-Human Identities is relevant here because weak NHI controls magnify the impact of any renderer compromise.

Another edge case is indirect template injection, where attacker-controlled content is stored first and rendered later by a trusted process. That pattern is easy to miss during code review because the exploit path crosses teams and time. In those environments, the practical rule is simple: if the renderer can touch secrets, assume the template boundary is part of the trust boundary.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-01Template injection often exposes secret-bearing NHIs and weak trust boundaries.
NIST CSF 2.0PR.AC-3Untrusted templates need enforced access restriction and least privilege.
NIST AI RMFIf templates drive AI or automation, unsafe inputs can alter system behaviour at runtime.

Limit renderer permissions, isolate execution, and monitor for unauthorized template execution.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org