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In the Linux kernel, the following vulnerability has been...

Moderate severity Unreviewed Published May 1, 2025 to the GitHub Advisory Database • Updated May 7, 2025

Package

No package listedSuggest a package

Affected versions

Unknown

Patched versions

Unknown

Description

In the Linux kernel, the following vulnerability has been resolved:

net: tun: Fix memory leaks of napi_get_frags

kmemleak reports after running test_progs:

unreferenced object 0xffff8881b1672dc0 (size 232):
comm "test_progs", pid 394388, jiffies 4354712116 (age 841.975s)
hex dump (first 32 bytes):
e0 84 d7 a8 81 88 ff ff 80 2c 67 b1 81 88 ff ff .........,g.....
00 40 c5 9b 81 88 ff ff 00 00 00 00 00 00 00 00 .@..............
backtrace:
[<00000000c8f01748>] napi_skb_cache_get+0xd4/0x150
[<0000000041c7fc09>] __napi_build_skb+0x15/0x50
[<00000000431c7079>] __napi_alloc_skb+0x26e/0x540
[<000000003ecfa30e>] napi_get_frags+0x59/0x140
[<0000000099b2199e>] tun_get_user+0x183d/0x3bb0 [tun]
[<000000008a5adef0>] tun_chr_write_iter+0xc0/0x1b1 [tun]
[<0000000049993ff4>] do_iter_readv_writev+0x19f/0x320
[<000000008f338ea2>] do_iter_write+0x135/0x630
[<000000008a3377a4>] vfs_writev+0x12e/0x440
[<00000000a6b5639a>] do_writev+0x104/0x280
[<00000000ccf065d8>] do_syscall_64+0x3b/0x90
[<00000000d776e329>] entry_SYSCALL_64_after_hwframe+0x63/0xcd

The issue occurs in the following scenarios:
tun_get_user()
napi_gro_frags()
napi_frags_finish()
case GRO_NORMAL:
gro_normal_one()
list_add_tail(&skb->list, &napi->rx_list);
<-- While napi->rx_count < READ_ONCE(gro_normal_batch),
<-- gro_normal_list() is not called, napi->rx_list is not empty
<-- not ask to complete the gro work, will cause memory leaks in
<-- following tun_napi_del()
...
tun_napi_del()
netif_napi_del()
__netif_napi_del()
<-- &napi->rx_list is not empty, which caused memory leaks

To fix, add napi_complete() after napi_gro_frags().

References

Published by the National Vulnerability Database May 1, 2025
Published to the GitHub Advisory Database May 1, 2025
Last updated May 7, 2025

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(2nd percentile)

Weaknesses

CVE ID

CVE-2022-49871

GHSA ID

GHSA-jfw6-w783-5hhm

Source code

No known source code

Dependabot alerts are not supported on this advisory because it does not have a package from a supported ecosystem with an affected and fixed version.

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