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CVE-2026-47964 Adobe CVE debrief

A Heap-based Buffer Overflow vulnerability was discovered in DNG SDK versions 1.7.1 2536 and earlier. This vulnerability, tracked as CVE-2026-47964, could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction, as a victim must open a malicious file. The vulnerability has a CVSS score of 7.8 and is classified as HIGH severity.

Vendor
Adobe
Product
DNG SDK
CVSS
HIGH 7.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-16
Original CVE updated
2026-08-28
Advisory published
2026-06-16
Advisory updated
2026-08-28

Who should care

Users of DNG SDK versions 1.7.1 2536 and earlier should be aware of this vulnerability and take necessary precautions to avoid exploitation.

Technical summary

The vulnerability is caused by a Heap-based Buffer Overflow in the DNG SDK. This type of vulnerability occurs when more data is written to a buffer than it is designed to hold, leading to potential arbitrary code execution.

Defensive priority

HIGH

Recommended defensive actions

  • Update to a version of DNG SDK that is not vulnerable.
  • Avoid opening malicious files.

Evidence notes

The CVE record indicates that the vulnerability was published on 2026-06-16T19:16:56.367Z and modified on 2026-06-16T20:41:35.520Z. The vendor is listed as Unknown Vendor, but evidence suggests the product may be related to Adobe.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-47964 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-47964

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-47964 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-47964

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.