CVE-2024-47693 : Detail

CVE-2024-47693

6.5
/
Medium
0.08%V3
Network
2024-10-21
11h53 +00:00
2024-12-19
09h26 +00:00
CVE.org
NVD
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CVE Descriptions

IB/core: Fix ib_cache_setup_one error flow cleanup

In the Linux kernel, the following vulnerability has been resolved: IB/core: Fix ib_cache_setup_one error flow cleanup When ib_cache_update return an error, we exit ib_cache_setup_one instantly with no proper cleanup, even though before this we had already successfully done gid_table_setup_one, that results in the kernel WARN below. Do proper cleanup using gid_table_cleanup_one before returning the err in order to fix the issue. WARNING: CPU: 4 PID: 922 at drivers/infiniband/core/cache.c:806 gid_table_release_one+0x181/0x1a0 Modules linked in: CPU: 4 UID: 0 PID: 922 Comm: c_repro Not tainted 6.11.0-rc1+ #3 Hardware name: QEMU Standard PC (i440FX + PIIX, 1996), BIOS rel-1.13.0-0-gf21b5a4aeb02-prebuilt.qemu.org 04/01/2014 RIP: 0010:gid_table_release_one+0x181/0x1a0 Code: 44 8b 38 75 0c e8 2f cb 34 ff 4d 8b b5 28 05 00 00 e8 23 cb 34 ff 44 89 f9 89 da 4c 89 f6 48 c7 c7 d0 58 14 83 e8 4f de 21 ff <0f> 0b 4c 8b 75 30 e9 54 ff ff ff 48 8 3 c4 10 5b 5d 41 5c 41 5d 41 RSP: 0018:ffffc90002b835b0 EFLAGS: 00010286 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffffff811c8527 RDX: 0000000000000000 RSI: ffffffff811c8534 RDI: 0000000000000001 RBP: ffff8881011b3d00 R08: ffff88810b3abe00 R09: 205d303839303631 R10: 666572207972746e R11: 72746e6520444947 R12: 0000000000000001 R13: ffff888106390000 R14: ffff8881011f2110 R15: 0000000000000001 FS: 00007fecc3b70800(0000) GS:ffff88813bd00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 0000000020000340 CR3: 000000010435a001 CR4: 00000000003706b0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 Call Trace: ? show_regs+0x94/0xa0 ? __warn+0x9e/0x1c0 ? gid_table_release_one+0x181/0x1a0 ? report_bug+0x1f9/0x340 ? gid_table_release_one+0x181/0x1a0 ? handle_bug+0xa2/0x110 ? exc_invalid_op+0x31/0xa0 ? asm_exc_invalid_op+0x16/0x20 ? __warn_printk+0xc7/0x180 ? __warn_printk+0xd4/0x180 ? gid_table_release_one+0x181/0x1a0 ib_device_release+0x71/0xe0 ? __pfx_ib_device_release+0x10/0x10 device_release+0x44/0xd0 kobject_put+0x135/0x3d0 put_device+0x20/0x30 rxe_net_add+0x7d/0xa0 rxe_newlink+0xd7/0x190 nldev_newlink+0x1b0/0x2a0 ? __pfx_nldev_newlink+0x10/0x10 rdma_nl_rcv_msg+0x1ad/0x2e0 rdma_nl_rcv_skb.constprop.0+0x176/0x210 netlink_unicast+0x2de/0x400 netlink_sendmsg+0x306/0x660 __sock_sendmsg+0x110/0x120 ____sys_sendmsg+0x30e/0x390 ___sys_sendmsg+0x9b/0xf0 ? kstrtouint+0x6e/0xa0 ? kstrtouint_from_user+0x7c/0xb0 ? get_pid_task+0xb0/0xd0 ? proc_fail_nth_write+0x5b/0x140 ? __fget_light+0x9a/0x200 ? preempt_count_add+0x47/0xa0 __sys_sendmsg+0x61/0xd0 do_syscall_64+0x50/0x110 entry_SYSCALL_64_after_hwframe+0x76/0x7e

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-459 Incomplete Cleanup
The product does not properly "clean up" and remove temporary or supporting resources after they have been used.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 6.5 MEDIUM CVSS:3.1/AV:N/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.

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.

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.

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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 From (including) 5.4.42 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) 6.6.54

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.10.13

Linux>>Linux_kernel >> Version From (including) 6.11 To (excluding) 6.11.2

References