CVE-2022-49156

Feb. 26, 2025, 7 a.m.

None
No Score

Description

In the Linux kernel, the following vulnerability has been resolved: scsi: qla2xxx: Fix scheduling while atomic The driver makes a call into midlayer (fc_remote_port_delete) which can put the thread to sleep. The thread that originates the call is in interrupt context. The combination of the two trigger a crash. Schedule the call in non-interrupt context where it is more safe. kernel: BUG: scheduling while atomic: swapper/7/0/0x00010000 kernel: Call Trace: kernel: <IRQ> kernel: dump_stack+0x66/0x81 kernel: __schedule_bug.cold.90+0x5/0x1d kernel: __schedule+0x7af/0x960 kernel: schedule+0x28/0x80 kernel: schedule_timeout+0x26d/0x3b0 kernel: wait_for_completion+0xb4/0x140 kernel: ? wake_up_q+0x70/0x70 kernel: __wait_rcu_gp+0x12c/0x160 kernel: ? sdev_evt_alloc+0xc0/0x180 [scsi_mod] kernel: synchronize_sched+0x6c/0x80 kernel: ? call_rcu_bh+0x20/0x20 kernel: ? __bpf_trace_rcu_invoke_callback+0x10/0x10 kernel: sdev_evt_alloc+0xfd/0x180 [scsi_mod] kernel: starget_for_each_device+0x85/0xb0 [scsi_mod] kernel: ? scsi_init_io+0x360/0x3d0 [scsi_mod] kernel: scsi_init_io+0x388/0x3d0 [scsi_mod] kernel: device_for_each_child+0x54/0x90 kernel: fc_remote_port_delete+0x70/0xe0 [scsi_transport_fc] kernel: qla2x00_schedule_rport_del+0x62/0xf0 [qla2xxx] kernel: qla2x00_mark_device_lost+0x9c/0xd0 [qla2xxx] kernel: qla24xx_handle_plogi_done_event+0x55f/0x570 [qla2xxx] kernel: qla2x00_async_login_sp_done+0xd2/0x100 [qla2xxx] kernel: qla24xx_logio_entry+0x13a/0x3c0 [qla2xxx] kernel: qla24xx_process_response_queue+0x306/0x400 [qla2xxx] kernel: qla24xx_msix_rsp_q+0x3f/0xb0 [qla2xxx] kernel: __handle_irq_event_percpu+0x40/0x180 kernel: handle_irq_event_percpu+0x30/0x80 kernel: handle_irq_event+0x36/0x60

Timeline

Published: Feb. 26, 2025, 7 a.m.
Last Modified: Feb. 26, 2025, 7 a.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

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.