Several builtin functions in Expr, including flatten, min, max, mean, and median, perform
recursive traversal over user-provided data structures without enforcing a maximum recursion depth.
If the evaluation environment contains deeply nested or cyclic data structures, these functions may recurse indefinitely until exceed the Go runtime stack limit. This results in a stack overflow panic, causing the host application to crash.
While exploitability depends on whether an attacker can influence or inject cyclic or pathologically deep data into the evaluation environment, this behavior represents a denial-of-service (DoS) risk and affects overall library robustness. Instead of returning a recoverable evaluation error, the process may terminate unexpectedly.
In affected versions, evaluation of expressions that invoke certain builtin functions on untrusted or insufficiently validated data structures can lead to a process-level crash due to stack exhaustion.
This issue is most relevant in scenarios where:
In typical use cases with controlled, acyclic data, the issue may not manifest. However, when present, the resulting panic can be used to reliably crash the application, constituting a denial of service.
The issue has been fixed in the v1.17.7 versions of Expr.
The patch introduces a maximum recursion depth limit for affected builtin functions. When this limit is exceeded, evaluation aborts gracefully and returns a descriptive error instead of panicking.
Additionally, the maximum depth can be customized by users via builtin.MaxDepth, allowing applications with legitimate
deep structures to raise the limit in a controlled manner.
Users are strongly encouraged to upgrade to the patched release, which includes both the recursion guard and comprehensive test coverage to prevent regressions.
For users who cannot immediately upgrade, the following mitigations are recommended:
These workarounds reduce risk but do not fully eliminate the issue without the patch.
{
"severity": "HIGH",
"github_reviewed_at": "2025-12-16T22:34:16Z",
"cwe_ids": [
"CWE-770"
],
"nvd_published_at": "2025-12-16T19:16:00Z",
"github_reviewed": true
}