CRITICAL: CVE-2026-43186 (CVSS 9.8) — multiple products
CVE: CVE-2026-43186
CVSS: 9.8 (3.1) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Severity: CRITICAL
Status: Critical advisory
Affected
_See vendor advisory_
Summary
In the Linux kernel, the following vulnerability has been resolved:
ipv6: ioam: fix heap buffer overflow in __ioam6_fill_trace_data()
On the receive path, __ioam6_fill_trace_data() uses trace->nodelen
to decide how much data to write for each node. It trusts this field
as-is from the incoming packet, with no consistency check against
trace->type (the 24-bit field that tells which data items are
present). A crafted packet can set nodelen=0 while setting type bits
0-21, causing the function to write ~100 bytes past the allocated
region (into skb_shared_info), which corrupts adjacent heap memory
and leads to a kernel panic.
Add a shared helper ioam6_trace_compute_nodelen() in ioam6.c to
derive the expected nodelen from the type field, and use it:
- in ioam6_iptunnel.c (send path, existing validation) to replace
the open-coded computation;
- in exthdrs.c (receive path, ipv6_hop_ioam) to drop packets whose
nodelen is inconsistent with the type field, before any data is
written.
Per RFC 9197, bits 12-21 are each short (4-octet) fields, so they
are included in IOAM6_MASK_SHORT_FIELDS (changed from 0xff100000 to
0xff1ffc00).
Verified Sources
References
- https://git.kernel.org/stable/c/0591d6509c2ff13f09ea2998434aba0c0472e978
- https://git.kernel.org/stable/c/632d233cf2e64a46865ae2c064ae3c9df7c8864f
- https://git.kernel.org/stable/c/6db8b56eed62baacaf37486e83378a72635c04cc
- https://git.kernel.org/stable/c/e90346a2f1e8917d5760a44a1f61c44e3b36d96b
- https://git.kernel.org/stable/c/ea3632aefc04205436868541638e26f4a74d5637
- https://git.kernel.org/stable/c/f4d9d4b8fd839719d564651671e24c62c545c23b
- https://git.kernel.org/stable/c/fb3c662fafebc5b9d74417ed1de8759f6bb72143
_Validated by the Lyrie Threat Intelligence Pipeline — 3 independent sources confirmed before publication. No speculation._
Lyrie Verdict
A vulnerability of this severity is exactly what Lyrie's anti-rogue-AI defense is built for: continuous, autonomous monitoring that doesn't wait for human reaction time.
Validated sources
- [1]NVD
- [2]GitHub Advisory
- [3]MITRE