CVE-2024-26854 Detail

CVE-2024-26854

Score / Severity

7.5

High

CVE Descriptions

ice: fix uninitialized dplls mutex usage

In the Linux kernel, the following vulnerability has been resolved: ice: fix uninitialized dplls mutex usage The pf->dplls.lock mutex is initialized too late, after its first use. Move it to the top of ice_dpll_init. Note that the "err_exit" error path destroys the mutex. And the mutex is the last thing destroyed in ice_dpll_deinit. This fixes the following warning with CONFIG_DEBUG_MUTEXES: ice 0000:10:00.0: The DDP package was successfully loaded: ICE OS Default Package version 1.3.36.0 ice 0000:10:00.0: 252.048 Gb/s available PCIe bandwidth (16.0 GT/s PCIe x16 link) ice 0000:10:00.0: PTP init successful ------------[ cut here ]------------ DEBUG_LOCKS_WARN_ON(lock->magic != lock) WARNING: CPU: 0 PID: 410 at kernel/locking/mutex.c:587 __mutex_lock+0x773/0xd40 Modules linked in: crct10dif_pclmul crc32_pclmul crc32c_intel polyval_clmulni polyval_generic ice(+) nvme nvme_c> CPU: 0 PID: 410 Comm: kworker/0:4 Not tainted 6.8.0-rc5+ #3 Hardware name: HPE ProLiant DL110 Gen10 Plus/ProLiant DL110 Gen10 Plus, BIOS U56 10/19/2023 Workqueue: events work_for_cpu_fn RIP: 0010:__mutex_lock+0x773/0xd40 Code: c0 0f 84 1d f9 ff ff 44 8b 35 0d 9c 69 01 45 85 f6 0f 85 0d f9 ff ff 48 c7 c6 12 a2 a9 85 48 c7 c7 12 f1 a> RSP: 0018:ff7eb1a3417a7ae0 EFLAGS: 00010286 RAX: 0000000000000000 RBX: 0000000000000002 RCX: 0000000000000000 RDX: 0000000000000002 RSI: ffffffff85ac2bff RDI: 00000000ffffffff RBP: ff7eb1a3417a7b80 R08: 0000000000000000 R09: 00000000ffffbfff R10: ff7eb1a3417a7978 R11: ff32b80f7fd2e568 R12: 0000000000000000 R13: 0000000000000000 R14: 0000000000000000 R15: ff32b7f02c50e0d8 FS: 0000000000000000(0000) GS:ff32b80efe800000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 000055b5852cc000 CR3: 000000003c43a004 CR4: 0000000000771ef0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 PKRU: 55555554 Call Trace: ? __warn+0x84/0x170 ? __mutex_lock+0x773/0xd40 ? report_bug+0x1c7/0x1d0 ? prb_read_valid+0x1b/0x30 ? handle_bug+0x42/0x70 ? exc_invalid_op+0x18/0x70 ? asm_exc_invalid_op+0x1a/0x20 ? __mutex_lock+0x773/0xd40 ? rcu_is_watching+0x11/0x50 ? __kmalloc_node_track_caller+0x346/0x490 ? ice_dpll_lock_status_get+0x28/0x50 [ice] ? __pfx_ice_dpll_lock_status_get+0x10/0x10 [ice] ? ice_dpll_lock_status_get+0x28/0x50 [ice] ice_dpll_lock_status_get+0x28/0x50 [ice] dpll_device_get_one+0x14f/0x2e0 dpll_device_event_send+0x7d/0x150 dpll_device_register+0x124/0x180 ice_dpll_init_dpll+0x7b/0xd0 [ice] ice_dpll_init+0x224/0xa40 [ice] ? _dev_info+0x70/0x90 ice_load+0x468/0x690 [ice] ice_probe+0x75b/0xa10 [ice] ? _raw_spin_unlock_irqrestore+0x4f/0x80 ? process_one_work+0x1a3/0x500 local_pci_probe+0x47/0xa0 work_for_cpu_fn+0x17/0x30 process_one_work+0x20d/0x500 worker_thread+0x1df/0x3e0 ? __pfx_worker_thread+0x10/0x10 kthread+0x103/0x140 ? __pfx_kthread+0x10/0x10 ret_from_fork+0x31/0x50 ? __pfx_kthread+0x10/0x10 ret_from_fork_asm+0x1b/0x30 irq event stamp: 125197 hardirqs last enabled at (125197): [] finish_task_switch.isra.0+0x12d/0x3d0 hardirqs last disabled at (125196): [] __schedule+0xea4/0x19f0 softirqs last enabled at (105334): [] napi_get_frags_check+0x1a/0x60 softirqs last disabled at (105332): [] napi_get_frags_check+0x1a/0x60 ---[ end trace 0000000000000000 ]---

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE-476	NULL Pointer Dereference The product dereferences a pointer that it expects to be valid but is NULL.

Metrics

Metrics	Score	Severity	CVSS Vector	Source
V3.1	7.5	HIGH	CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H More informations Base: Exploitabilty Metrics The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component. Attack Vector This metric reflects the context by which vulnerability exploitation is possible. Network The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers). Attack Complexity This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. Low Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success when attacking the vulnerable component. Privileges Required This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability. None The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack. User Interaction This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component. None The vulnerable system can be exploited without interaction from any user. Base: Scope Metrics The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope. Scope Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs. Unchanged An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority. Base: Impact Metrics The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve. Confidentiality Impact This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability. None There is no loss of confidentiality within the impacted component. Integrity Impact This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. None There is no loss of integrity within the impacted component. Availability Impact This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability. High There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable). Temporal Metrics The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability. Environmental Metrics These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.	134c704f-9b21-4f2e-91b3-4a467353bcc0

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

EPSS First.org