Lucene search

K
ubuntucveUbuntu.comUB:CVE-2024-26804
HistoryApr 04, 2024 - 12:00 a.m.

CVE-2024-26804

2024-04-0400:00:00
ubuntu.com
ubuntu.com
5
linux kernel
net
ip_tunnel
vulnerability

7.7 High

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

13.1%

In the Linux kernel, the following vulnerability has been resolved: net:
ip_tunnel: prevent perpetual headroom growth syzkaller triggered following
kasan splat: BUG: KASAN: use-after-free in __skb_flow_dissect+0x19d1/0x7a50
net/core/flow_dissector.c:1170 Read of size 1 at addr ffff88812fb4000e by
task syz-executor183/5191 […] kasan_report+0xda/0x110
mm/kasan/report.c:588 __skb_flow_dissect+0x19d1/0x7a50
net/core/flow_dissector.c:1170 skb_flow_dissect_flow_keys
include/linux/skbuff.h:1514 [inline] ___skb_get_hash
net/core/flow_dissector.c:1791 [inline] __skb_get_hash+0xc7/0x540
net/core/flow_dissector.c:1856 skb_get_hash include/linux/skbuff.h:1556
[inline] ip_tunnel_xmit+0x1855/0x33c0 net/ipv4/ip_tunnel.c:748
ipip_tunnel_xmit+0x3cc/0x4e0 net/ipv4/ipip.c:308 __netdev_start_xmit
include/linux/netdevice.h:4940 [inline] netdev_start_xmit
include/linux/netdevice.h:4954 [inline] xmit_one net/core/dev.c:3548
[inline] dev_hard_start_xmit+0x13d/0x6d0 net/core/dev.c:3564
__dev_queue_xmit+0x7c1/0x3d60 net/core/dev.c:4349 dev_queue_xmit
include/linux/netdevice.h:3134 [inline] neigh_connected_output+0x42c/0x5d0
net/core/neighbour.c:1592 … ip_finish_output2+0x833/0x2550
net/ipv4/ip_output.c:235 ip_finish_output+0x31/0x310
net/ipv4/ip_output.c:323 … iptunnel_xmit+0x5b4/0x9b0
net/ipv4/ip_tunnel_core.c:82 ip_tunnel_xmit+0x1dbc/0x33c0
net/ipv4/ip_tunnel.c:831 ipgre_xmit+0x4a1/0x980 net/ipv4/ip_gre.c:665
__netdev_start_xmit include/linux/netdevice.h:4940 [inline]
netdev_start_xmit include/linux/netdevice.h:4954 [inline] xmit_one
net/core/dev.c:3548 [inline] dev_hard_start_xmit+0x13d/0x6d0
net/core/dev.c:3564 … The splat occurs because skb->data points past
skb->head allocated area. This is because neigh layer does: __skb_pull(skb,
skb_network_offset(skb)); … but skb_network_offset() returns a negative
offset and __skb_pull() arg is unsigned. IOW, we skb->data gets “adjusted”
by a huge value. The negative value is returned because skb->head and
skb->data distance is more than 64k and skb->network_header (u16) has
wrapped around. The bug is in the ip_tunnel infrastructure, which can cause
dev->needed_headroom to increment ad infinitum. The syzkaller reproducer
consists of packets getting routed via a gre tunnel, and route of gre
encapsulated packets pointing at another (ipip) tunnel. The ipip
encapsulation finds gre0 as next output device. This results in the
following pattern: 1). First packet is to be sent out via gre0. Route
lookup found an output device, ipip0. 2). ip_tunnel_xmit for gre0 bumps
gre0->needed_headroom based on the future output device,
rt.dev->needed_headroom (ipip0). 3). ip output / start_xmit moves skb on to
ipip0. which runs the same code path again (xmit recursion). 4). Routing
step for the post-gre0-encap packet finds gre0 as output device to use for
ipip0 encapsulated packet. tunl0->needed_headroom is then incremented based
on the (already bumped) gre0 device headroom. This repeats for every future
packet: gre0->needed_headroom gets inflated because previous packets’ ipip0
step incremented rt->dev (gre0) headroom, and ipip0 incremented because
gre0 needed_headroom was increased. For each subsequent packet,
gre/ipip0->needed_headroom grows until post-expand-head reallocations
result in a skb->head/data distance of more than 64k. Once that happens,
skb->network_header (u16) wraps around when pskb_expand_head tries to make
sure that skb_network_offset() is unchanged after the headroom
expansion/reallocation. After this skb_network_offset(skb) returns a
different (and negative) result post headroom expansion. The next trip to
neigh layer (or anything else that would __skb_pull the network header)
makes skb->data point to a memory location outside skb->head area. v2: Cap
the needed_headroom update to an arbitarily chosen upperlimit to prevent
perpetual increase instead of dropping the headroom increment completely.

References

7.7 High

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

13.1%