CVE-2026-16120 nextlevelbuilder CVE debrief

Who should care

Users of nextlevelbuilder GoClaw up to 3.13.3-beta.3 should review and apply patches to prevent exploitation of this vulnerability. Affected operators, platforms, and security teams should verify the vulnerability details and take necessary actions to prevent exploitation. Vulnerability management and security teams should prioritize patching and monitor for potential attacks.

Technical summary

The vulnerability is located in the matchesAllowlist/extractBin function of the internal/tools/exec_approval.go file in nextlevelbuilder GoClaw up to 3.13.3-beta.3. An attacker can perform a manipulation to cause an incorrectly-resolved name, potentially leading to security issues. The attack can be performed remotely. The vulnerability has been publicly disclosed, and defenders should review and apply patches to prevent exploitation.

Defensive priority

Low

Recommended defensive actions

• Review and apply patches for nextlevelbuilder GoClaw up to 3.13.3-beta.3
• Monitor for and restrict remote access to affected systems
• Verify and enforce proper input validation and sanitization
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-18T14:17:11.907Z and has not been modified since then. The NVD entry is currently Received. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor. The vulnerability is located in the matchesAllowlist/extractBin function of the internal/tools/exec_approval.go file in nextlevelbuilder GoClaw up to 3.13.3-beta.3.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.