CVE-2026-21303 Adobe CVE debrief

Who should care

Users of Substance3D - Modeler versions 1.22.4 and earlier should apply defensive measures to prevent potential sensitive information disclosure. This includes administrators and security teams responsible for managing and securing software deployments. They should prioritize applying vendor remediations and enhancing monitoring and detection capabilities to identify and mitigate potential threats.

Technical summary

The vulnerability is an Out-of-bounds Read issue in Substance3D - Modeler versions 1.22.4 and earlier. An attacker could leverage this vulnerability to disclose sensitive information stored in memory, requiring user interaction to open a malicious file. The issue arises from improper handling of memory access, allowing for potential memory exposure. Defensive measures should focus on restricting access to sensitive files and implementing robust monitoring to detect potential exploitation attempts.

Defensive priority

Medium-priority defensive actions are recommended due to the potential for sensitive information disclosure.

Recommended defensive actions

• Inventory checks for Substance3D - Modeler versions 1.22.4 and earlier
• Apply vendor remediation when available
• Monitor for malicious file attempts
• Implement compensating controls for sensitive information disclosure
• Review 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
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the Out-of-bounds Read vulnerability in Substance3D - Modeler versions 1.22.4 and earlier. Vendor advisory from Adobe is available. The vulnerability could lead to memory exposure, and an attacker could leverage it to disclose sensitive information stored in memory. Exploitation requires user interaction, as a victim must open a malicious file. Further verification is needed to assess the full impact and ensure proper defensive measures are in place.

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.