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PatchSiren cyber security CVE debrief

CVE-2026-12057 Foxit Software Inc. CVE debrief

A HIGH severity vulnerability was discovered in an Unknown Vendor product, tracked as CVE-2026-12057 with a CVSS score of 8.6. The vulnerability occurs when the application executes a JavaScript script embedded in a PDF within a sandbox, failing to intercept some dangerous interfaces. This allows remote scripts to be loaded, resulting in arbitrary code execution.

Vendor
Foxit Software Inc.
Product
Foxit AI
CVSS
HIGH 8.6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-15
Original CVE updated
2026-06-16
Advisory published
2026-06-15
Advisory updated
2026-06-16

Who should care

Users of the affected Unknown Vendor product should consider applying patches or mitigations to prevent exploitation.

Technical summary

The vulnerability is caused by the application's sandbox failing to intercept some dangerous interfaces when executing JavaScript scripts embedded in PDFs. This allows remote scripts to be loaded, resulting in arbitrary code execution.

Defensive priority

HIGH

Recommended defensive actions

  • Apply patches or updates provided by the vendor, if available.
  • Consider using alternative products or workarounds until a patch is available.
  • Monitor the vendor's security bulletins for updates on this vulnerability.

Evidence notes

The vendor is currently listed as 'Unknown Vendor', but evidence suggests the product may be related to Foxit.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-12057 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12057

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

  • CVE-2026-12057 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12057

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

Supplemental references

  • Source reference

    Unverified legacy reference

    URL: https://www.foxit.com/support/security-bulletins.html

    14984358-7092-470d-8f34-ade47a7658a2

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.