CVE-2022-48694

May 3, 2024, 3:32 p.m.

None
No Score

Description

In the Linux kernel, the following vulnerability has been resolved: RDMA/irdma: Fix drain SQ hang with no completion SW generated completions for outstanding WRs posted on SQ after QP is in error target the wrong CQ. This causes the ib_drain_sq to hang with no completion. Fix this to generate completions on the right CQ. [ 863.969340] INFO: task kworker/u52:2:671 blocked for more than 122 seconds. [ 863.979224] Not tainted 5.14.0-130.el9.x86_64 #1 [ 863.986588] "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. [ 863.996997] task:kworker/u52:2 state:D stack: 0 pid: 671 ppid: 2 flags:0x00004000 [ 864.007272] Workqueue: xprtiod xprt_autoclose [sunrpc] [ 864.014056] Call Trace: [ 864.017575] __schedule+0x206/0x580 [ 864.022296] schedule+0x43/0xa0 [ 864.026736] schedule_timeout+0x115/0x150 [ 864.032185] __wait_for_common+0x93/0x1d0 [ 864.037717] ? usleep_range_state+0x90/0x90 [ 864.043368] __ib_drain_sq+0xf6/0x170 [ib_core] [ 864.049371] ? __rdma_block_iter_next+0x80/0x80 [ib_core] [ 864.056240] ib_drain_sq+0x66/0x70 [ib_core] [ 864.062003] rpcrdma_xprt_disconnect+0x82/0x3b0 [rpcrdma] [ 864.069365] ? xprt_prepare_transmit+0x5d/0xc0 [sunrpc] [ 864.076386] xprt_rdma_close+0xe/0x30 [rpcrdma] [ 864.082593] xprt_autoclose+0x52/0x100 [sunrpc] [ 864.088718] process_one_work+0x1e8/0x3c0 [ 864.094170] worker_thread+0x50/0x3b0 [ 864.099109] ? rescuer_thread+0x370/0x370 [ 864.104473] kthread+0x149/0x170 [ 864.109022] ? set_kthread_struct+0x40/0x40 [ 864.114713] ret_from_fork+0x22/0x30

Product(s) Impacted

Product Versions
Linux kernel
  • 5.14.0-130.el9.x86_64

Weaknesses

Common security weaknesses mapped to this vulnerability.

Timeline

Published: May 3, 2024, 3:15 p.m.
Last Modified: May 3, 2024, 3:32 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

More info

Source

416baaa9-dc9f-4396-8d5f-8c081fb06d67

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.