Raw vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). EPSS scores by FIRST (EPSS SIG), generated by Empirical Security. Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2024-26742 is a high-severity Out-of-bounds Write (CWE-787) vulnerability in Linux Kernel. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation of Remote Services (T1210); ranked at the 16th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-24004
Vulnerability Data
In the Linux kernel, the following vulnerability has been resolved: scsi: smartpqi: Fix disable_managed_interrupts Correct blk-mq registration issue with module parameter disable_managed_interrupts enabled. When we turn off the default PCI_IRQ_AFFINITY flag, the driver needs to register with blk-mq using blk_mq_map_queues().…
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The driver is currently calling blk_mq_pci_map_queues() which results in a stack trace and possibly undefined behavior. Stack Trace: [ 7.860089] scsi host2: smartpqi [ 7.871934] WARNING: CPU: 0 PID: 238 at block/blk-mq-pci.c:52 blk_mq_pci_map_queues+0xca/0xd0 [ 7.889231] Modules linked in: sd_mod t10_pi sg uas smartpqi(+) crc32c_intel scsi_transport_sas usb_storage dm_mirror dm_region_hash dm_log dm_mod ipmi_devintf ipmi_msghandler fuse [ 7.924755] CPU: 0 PID: 238 Comm: kworker/0:3 Not tainted 4.18.0-372.88.1.el8_6_smartpqi_test.x86_64 #1 [ 7.944336] Hardware name: HPE ProLiant DL380 Gen10/ProLiant DL380 Gen10, BIOS U30 03/08/2022 [ 7.963026] Workqueue: events work_for_cpu_fn [ 7.978275] RIP: 0010:blk_mq_pci_map_queues+0xca/0xd0 [ 7.978278] Code: 48 89 de 89 c7 e8 f6 0f 4f 00 3b 05 c4 b7 8e 01 72 e1 5b 31 c0 5d 41 5c 41 5d 41 5e 41 5f e9 7d df 73 00 31 c0 e9 76 df 73 00 <0f> 0b eb bc 90 90 0f 1f 44 00 00 41 57 49 89 ff 41 56 41 55 41 54 [ 7.978280] RSP: 0018:ffffa95fc3707d50 EFLAGS: 00010216 [ 7.978283] RAX: 00000000ffffffff RBX: 0000000000000000 RCX: 0000000000000010 [ 7.978284] RDX: 0000000000000004 RSI: 0000000000000000 RDI: ffff9190c32d4310 [ 7.978286] RBP: 0000000000000000 R08: ffffa95fc3707d38 R09: ffff91929b81ac00 [ 7.978287] R10: 0000000000000001 R11: ffffa95fc3707ac0 R12: 0000000000000000 [ 7.978288] R13: ffff9190c32d4000 R14: 00000000ffffffff R15: ffff9190c4c950a8 [ 7.978290] FS: 0000000000000000(0000) GS:ffff9193efc00000(0000) knlGS:0000000000000000 [ 7.978292] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 8.172814] CR2: 000055d11166c000 CR3: 00000002dae10002 CR4: 00000000007706f0 [ 8.172816] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 [ 8.172817] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 [ 8.172818] PKRU: 55555554 [ 8.172819] Call Trace: [ 8.172823] blk_mq_alloc_tag_set+0x12e/0x310 [ 8.264339] scsi_add_host_with_dma.cold.9+0x30/0x245 [ 8.279302] pqi_ctrl_init+0xacf/0xc8e [smartpqi] [ 8.294085] ? pqi_pci_probe+0x480/0x4c8 [smartpqi] [ 8.309015] pqi_pci_probe+0x480/0x4c8 [smartpqi] [ 8.323286] local_pci_probe+0x42/0x80 [ 8.337855] work_for_cpu_fn+0x16/0x20 [ 8.351193] process_one_work+0x1a7/0x360 [ 8.364462] ? create_worker+0x1a0/0x1a0 [ 8.379252] worker_thread+0x1ce/0x390 [ 8.392623] ? create_worker+0x1a0/0x1a0 [ 8.406295] kthread+0x10a/0x120 [ 8.418428] ? set_kthread_struct+0x50/0x50 [ 8.431532] ret_from_fork+0x1f/0x40 [ 8.444137] ---[ end trace 1bf0173d39354506 ]---
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and bounds checks) finds out-of-bounds write flaws before deployment.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Input validation can structurally reject or sanitize data that would otherwise trigger an out-of-bounds write.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure-development practices (static analysis, bounds checking, code review) are the primary means of preventing out-of-bounds writes.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development and acceptance can detect and prevent out-of-bounds write defects.
Secure coding directly addresses out-of-bounds writes through language choice and coding standards.