CVE-2024-50095 : Detail

CVE-2024-50095

5.5
/
Medium
0.04%V3
Local
2024-11-05
17h04 +00:00
2024-12-19
09h32 +00:00
CVE.org
NVD
Notifications for a CVE
Stay informed of any changes for a specific CVE.
Notifications manage

CVE Descriptions

RDMA/mad: Improve handling of timed out WRs of mad agent

In the Linux kernel, the following vulnerability has been resolved: RDMA/mad: Improve handling of timed out WRs of mad agent Current timeout handler of mad agent acquires/releases mad_agent_priv lock for every timed out WRs. This causes heavy locking contention when higher no. of WRs are to be handled inside timeout handler. This leads to softlockup with below trace in some use cases where rdma-cm path is used to establish connection between peer nodes Trace: ----- BUG: soft lockup - CPU#4 stuck for 26s! [kworker/u128:3:19767] CPU: 4 PID: 19767 Comm: kworker/u128:3 Kdump: loaded Tainted: G OE ------- --- 5.14.0-427.13.1.el9_4.x86_64 #1 Hardware name: Dell Inc. PowerEdge R740/01YM03, BIOS 2.4.8 11/26/2019 Workqueue: ib_mad1 timeout_sends [ib_core] RIP: 0010:__do_softirq+0x78/0x2ac RSP: 0018:ffffb253449e4f98 EFLAGS: 00000246 RAX: 00000000ffffffff RBX: 0000000000000000 RCX: 000000000000001f RDX: 000000000000001d RSI: 000000003d1879ab RDI: fff363b66fd3a86b RBP: ffffb253604cbcd8 R08: 0000009065635f3b R09: 0000000000000000 R10: 0000000000000040 R11: ffffb253449e4ff8 R12: 0000000000000000 R13: 0000000000000000 R14: 0000000000000000 R15: 0000000000000040 FS: 0000000000000000(0000) GS:ffff8caa1fc80000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007fd9ec9db900 CR3: 0000000891934006 CR4: 00000000007706e0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 PKRU: 55555554 Call Trace: ? show_trace_log_lvl+0x1c4/0x2df ? show_trace_log_lvl+0x1c4/0x2df ? __irq_exit_rcu+0xa1/0xc0 ? watchdog_timer_fn+0x1b2/0x210 ? __pfx_watchdog_timer_fn+0x10/0x10 ? __hrtimer_run_queues+0x127/0x2c0 ? hrtimer_interrupt+0xfc/0x210 ? __sysvec_apic_timer_interrupt+0x5c/0x110 ? sysvec_apic_timer_interrupt+0x37/0x90 ? asm_sysvec_apic_timer_interrupt+0x16/0x20 ? __do_softirq+0x78/0x2ac ? __do_softirq+0x60/0x2ac __irq_exit_rcu+0xa1/0xc0 sysvec_call_function_single+0x72/0x90 asm_sysvec_call_function_single+0x16/0x20 RIP: 0010:_raw_spin_unlock_irq+0x14/0x30 RSP: 0018:ffffb253604cbd88 EFLAGS: 00000247 RAX: 000000000001960d RBX: 0000000000000002 RCX: ffff8cad2a064800 RDX: 000000008020001b RSI: 0000000000000001 RDI: ffff8cad5d39f66c RBP: ffff8cad5d39f600 R08: 0000000000000001 R09: 0000000000000000 R10: ffff8caa443e0c00 R11: ffffb253604cbcd8 R12: ffff8cacb8682538 R13: 0000000000000005 R14: ffffb253604cbd90 R15: ffff8cad5d39f66c cm_process_send_error+0x122/0x1d0 [ib_cm] timeout_sends+0x1dd/0x270 [ib_core] process_one_work+0x1e2/0x3b0 ? __pfx_worker_thread+0x10/0x10 worker_thread+0x50/0x3a0 ? __pfx_worker_thread+0x10/0x10 kthread+0xdd/0x100 ? __pfx_kthread+0x10/0x10 ret_from_fork+0x29/0x50 Simplified timeout handler by creating local list of timed out WRs and invoke send handler post creating the list. The new method acquires/ releases lock once to fetch the list and hence helps to reduce locking contetiong when processing higher no. of WRs

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 5.5 MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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.

Local

The vulnerable component is not bound to the network stack and the attacker’s path is via read/write/execute capabilities.

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.

Low

The attacker requires privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.

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.

 [email protected]

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

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version To (excluding) 5.10.227

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.168

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.113

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.57

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.11.4

References