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CVE-2026-6426 (GCVE-0-2026-6426)

Vulnerability from cvelistv5 – Published: 2026-08-10 21:22 – Updated: 2026-08-31 17:19
VLAI
Title
Qemu-kvm: vhost inflight migration vmstate integer type mismatch causes out-of-bounds access
Summary
A type mismatch vulnerability was found in QEMU's vhost inflight migration VMState handling. The destination buffer size is stored as a uint64_t but read by the VMS_VBUFFER load path as a signed int32_t. On little-endian hosts, a crafted incoming migration state with bit 31 set causes the value to be interpreted as negative and then implicitly converted to a very large size_t, leading qemu_get_buffer() to copy migration-stream data beyond the bounds of the mmap-backed inflight region. This can result in a crash of the QEMU process or memory corruption. Exploitation requires control of the migration producer or write access to the migration channel, combined with a destination configured to use vhost inflight migration.
Severity
4.4 (Medium)
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-11 17:41 UTC
CWE
  • CWE-681 - Incorrect Conversion between Numeric Types
Assigner
References
URL Tags
https://access.redhat.com/security/cve/CVE-2026-6426 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2513498 issue-trackingx_refsource_REDHAT
Impacted products
Date Public
2026-08-10 00:00
Credits
Red Hat would like to thank Seungjung Kim (Kyonggi University) for reporting this issue.
Show details on NVD website
To clipboard 

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.