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CVE-2026-47927 Adobe CVE debrief

CVE-2026-47927 is a MEDIUM-severity vulnerability (CVSS Score: 5.5) affecting DNG SDK versions 1.7.1 2536 and earlier. The vulnerability is caused by an out-of-bounds read issue, which could lead to disclosure of sensitive memory. An attacker would need to trick a victim into opening a malicious file to exploit this issue.

Vendor
Adobe
Product
DNG SDK
CVSS
MEDIUM 5.5
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 steps to mitigate it.

Technical summary

The vulnerability is caused by an out-of-bounds read issue in DNG SDK versions 1.7.1 2536 and earlier. This could lead to disclosure of sensitive memory. The Common Vulnerability Scoring System (CVSS) score for this vulnerability is 5.5, indicating a MEDIUM severity.

Defensive priority

MEDIUM

Recommended defensive actions

  • Users should update to a version of DNG SDK that is not vulnerable.
  • Until an update is available, users should be cautious when opening files from untrusted sources.

Evidence notes

The CVE was published on 2026-06-16T19:16:56.007Z and last modified on 2026-06-16T20:41:35.520Z. The vendor is currently listed as Unknown Vendor, but there is evidence suggesting the vendor may be Adobe [reference_domain_candidate].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-47927 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-47927

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

  • CVE-2026-47927 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-47927

    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.