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GHSA-cpv7-q2wx-m8rw CVE-2026-28425

Statamic vulnerable to remote code execution via Antlers-enabled control panel inputs

High Packagist
Severity
8.0 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.50%
Chance of exploitation in the next 30 days. Higher than 42.82% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-94 Improper Control of Generation of Code ('Code Injection')
Fix
5.73.16
Upgrade statamic/cms to this version or later

Description

Impact

An authenticated control panel user with access to Antlers-enabled inputs may be able to achieve remote code execution in the application context. That can lead to full compromise of the application, including access to sensitive configuration, modification or exfiltration of data, and potential impact on availability.

Exploitation is only possible where Antlers runs on user-controlled content—for example, content fields with Antlers explicitly enabled (requiring permission to configure fields and to edit entries), built-in config that supports Antlers such as Forms email notification settings (requiring configuration permission), or third-party addons that add Antlers-enabled fields to entries (for example, the SEO Pro addon). In each case the attacker must have the relevant control panel permissions.

Patches

This has been fixed in 5.73.16 and 6.7.2.

Note that a follow-up report showed that the original 5.73.11 & 6.4.0 fixes were insufficient.

If you use addons that depend on Statamic, ensure that after updating you are running a patched Statamic version.

Affected versions

Packagist

PackageVulnerableFixed in
statamic/cms
< 5.73.16
5.73.16
statamic/cms
>= 6.0.0-alpha.1, < 6.7.2
6.7.2

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

statamic/cms Packagist → 5.73.16

composer
composer require statamic/cms:^5.73.16

Severity breakdown

CVSS 3.1 8.0

CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Weakness

CWE-94: Improper Control of Generation of Code ('Code Injection')

The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

How to prevent it
  • Architecture and Design: Refactor your program so that you do not have to dynamically generate code.
  • Architecture and Design: Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product. Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection. This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise. Be careful to avoid CWE-243 and other weaknesses related to jails.
  • Implementation: Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does. When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue." Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright. To reduce the likelihood of code injection, use stringent allowlists that limit which constructs are allowed. If you are dynamically constructing code that invokes a function, then verifying that the input is alphanumeric might be insufficient. An attacker might still be able to reference a dangerous function that you did not intend to allow, such as system(), exec(), or exit().
  • Testing: Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
  • Operation: Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
  • Operation: Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
  • Implementation: For Python programs, it is frequently encouraged to use the ast.literal_eval() function instead of eval, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373].

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-vx89-p3j7-8xqc
Statamic: Stored Cross-Site Scripting in Automagic Form Notification Email Template
Medium Also affects statamic/cms
GHSA-qhr7-v3xp-vw9m
Statamic: Missing file upload validation on frontend forms allows uploading disallowed file types
Medium Also affects statamic/cms
GHSA-qh8c-7588-qfrv
Statamic: Missing authorization on navigation endpoint allows disclosure of restricted entries
Medium Also affects statamic/cms
GHSA-j2vp-f2pv-5rj4
Statamic: Unsafe method invocation via Antlers template resolution allows data destruction
Medium Also affects statamic/cms
GHSA-93qh-5269-9wcf
Statamic: Account takeover via OAuth email matching without email-verification check
High Also affects statamic/cms
GHSA-225x-3jhx-wh4q
Statamic: Missing authorization on Control Panel endpoint allows disclosure of user existence
Medium Also affects statamic/cms
GHSA-jppw-r5j3-xf7x
Statamic CMS exposes two-factor recovery codes through dynamic Antlers rendering
Medium Also affects statamic/cms
GHSA-7mqq-4v55-88gh
Statamic CMS's incorrect authorization lets view-only users submit Live Preview content reserved for editors
Low Also affects statamic/cms
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