CVE-2026-64121

HIGH
MEDIUM Priority: 0.01 BB Relevance: 39/100
Published: 2026-07-19 Modified: 2026-11-06 First seen: 2026-11-06 Status: active

Attack Surface

Low Complexity No Interaction Conf. Impact

CVSS Vector Breakdown

AV: Local
AC: Low
PR: Low
UI: None
S: Unchanged
C: High
I: None
A: High

Description

In the Linux kernel, the following vulnerability has been resolved: net: ifb: report ethtool stats over num_tx_queues ifb_dev_init() allocates dp->tx_private to dev->num_tx_queues entries via kzalloc_objs(*txp, dev->num_tx_queues). Both IFB per-queue RX and TX stats live in those entries: ifb_xmit() updates txp->rx_stats using the skb queue mapping, ifb_ri_tasklet() updates txp->tx_stats, and ifb_stats64() aggregates both over dev->num_tx_queues. The ethtool stats callbacks instead size and walk the per-queue stats with dev->real_num_rx_queues and dev->real_num_tx_queues. With an asymmetric device where the RX queue count exceeds the TX queue count, for example: ip link add name ifb10 numtxqueues 1 numrxqueues 8 type ifb ethtool -S ifb10 ifb_get_ethtool_stats() indexes past the tx_private allocation and copies adjacent slab data through ETHTOOL_GSTATS. Use dev->num_tx_queues consistently for the stats strings, the stats count, and the stats data walks. This reports one RX stats group and one TX stats group for each backing ifb_q_private entry, which is the queue set IFB can actually populate. Reproduced under UML+KASAN at v7.1-rc2: BUG: KASAN: slab-out-of-bounds in ifb_fill_stats_data+0x3c/0xae Read of size 8 at addr 0000000062dbd228 by task ethtool/36 ifb_fill_stats_data+0x3c/0xae ifb_get_ethtool_stats+0xc0/0x129 __dev_ethtool+0x1ca5/0x363c dev_ethtool+0x123/0x1b3 dev_ioctl+0x56c/0x744 sock_do_ioctl+0x15f/0x1b2 sock_ioctl+0x4d5/0x50a sys_ioctl+0xd8b/0xde9 With the patch applied, the same UML+KASAN repro is silent and ethtool -S ifb10 reports only the stats backed by the single allocated tx_private entry.

Weakness Classification (1)

Affected Software (12)

VendorProductVersion
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < 6afdb8113cb007f9332f59a9b7fd45731b8a9de5
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < 16bd798cb6d8337d7c3eea1adc412f31b5181d5b
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < 301a554e458e2f5ec47f2c336a7cb03b877f9fd6
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < f8a5a76b4a683043c6eff2a060bcaa17f9316ad5
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < 2638e1773904d7aa8f24c6e7fda2ed7d69df6fa4
Linux Linux a21ee5b2fcb8d6d3973446c5039e966c4cfe40d1 < 5db89c99566fc4728cc92e941d8e1975711e24b5
Linux Linux 5.17
linux linux_kernel 5.17 – 6.1.175
linux linux_kernel 7.1
linux linux_kernel 7.1
linux linux_kernel 7.1
linux linux_kernel 7.1

Bug Bounty Relevance

39 / 100
✓ Low complexity
✓ No user interaction

CVSS Score

7.1 / 10.0 v3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

EPSS — Exploitation Probability

0.13%
Raw Score 0.001260
Percentile 2.3%
Date 2026-11-06

Intelligence Sources

mitre ref →
nvd ref →