CVE-2023-52745 : Detail

CVE-2023-52745

5.5
/
Medium
Memory Corruption
0.04%V3
Local
2024-05-21
15h23 +00:00
2024-12-19
08h24 +00:00
CVE.org
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CVE Descriptions

IB/IPoIB: Fix legacy IPoIB due to wrong number of queues

In the Linux kernel, the following vulnerability has been resolved: IB/IPoIB: Fix legacy IPoIB due to wrong number of queues The cited commit creates child PKEY interfaces over netlink will multiple tx and rx queues, but some devices doesn't support more than 1 tx and 1 rx queues. This causes to a crash when traffic is sent over the PKEY interface due to the parent having a single queue but the child having multiple queues. This patch fixes the number of queues to 1 for legacy IPoIB at the earliest possible point in time. BUG: kernel NULL pointer dereference, address: 000000000000036b PGD 0 P4D 0 Oops: 0000 [#1] SMP CPU: 4 PID: 209665 Comm: python3 Not tainted 6.1.0_for_upstream_min_debug_2022_12_12_17_02 #1 Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS rel-1.13.0-0-gf21b5a4aeb02-prebuilt.qemu.org 04/01/2014 RIP: 0010:kmem_cache_alloc+0xcb/0x450 Code: ce 7e 49 8b 50 08 49 83 78 10 00 4d 8b 28 0f 84 cb 02 00 00 4d 85 ed 0f 84 c2 02 00 00 41 8b 44 24 28 48 8d 4a 01 49 8b 3c 24 <49> 8b 5c 05 00 4c 89 e8 65 48 0f c7 0f 0f 94 c0 84 c0 74 b8 41 8b RSP: 0018:ffff88822acbbab8 EFLAGS: 00010202 RAX: 0000000000000070 RBX: ffff8881c28e3e00 RCX: 00000000064f8dae RDX: 00000000064f8dad RSI: 0000000000000a20 RDI: 0000000000030d00 RBP: 0000000000000a20 R08: ffff8882f5d30d00 R09: ffff888104032f40 R10: ffff88810fade828 R11: 736f6d6570736575 R12: ffff88810081c000 R13: 00000000000002fb R14: ffffffff817fc865 R15: 0000000000000000 FS: 00007f9324ff9700(0000) GS:ffff8882f5d00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 000000000000036b CR3: 00000001125af004 CR4: 0000000000370ea0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 Call Trace: skb_clone+0x55/0xd0 ip6_finish_output2+0x3fe/0x690 ip6_finish_output+0xfa/0x310 ip6_send_skb+0x1e/0x60 udp_v6_send_skb+0x1e5/0x420 udpv6_sendmsg+0xb3c/0xe60 ? ip_mc_finish_output+0x180/0x180 ? __switch_to_asm+0x3a/0x60 ? __switch_to_asm+0x34/0x60 sock_sendmsg+0x33/0x40 __sys_sendto+0x103/0x160 ? _copy_to_user+0x21/0x30 ? kvm_clock_get_cycles+0xd/0x10 ? ktime_get_ts64+0x49/0xe0 __x64_sys_sendto+0x25/0x30 do_syscall_64+0x3d/0x90 entry_SYSCALL_64_after_hwframe+0x46/0xb0 RIP: 0033:0x7f9374f1ed14 Code: 42 41 f8 ff 44 8b 4c 24 2c 4c 8b 44 24 20 89 c5 44 8b 54 24 28 48 8b 54 24 18 b8 2c 00 00 00 48 8b 74 24 10 8b 7c 24 08 0f 05 <48> 3d 00 f0 ff ff 77 34 89 ef 48 89 44 24 08 e8 68 41 f8 ff 48 8b RSP: 002b:00007f9324ff7bd0 EFLAGS: 00000293 ORIG_RAX: 000000000000002c RAX: ffffffffffffffda RBX: 00007f9324ff7cc8 RCX: 00007f9374f1ed14 RDX: 00000000000002fb RSI: 00007f93000052f0 RDI: 0000000000000030 RBP: 0000000000000000 R08: 00007f9324ff7d40 R09: 000000000000001c R10: 0000000000000000 R11: 0000000000000293 R12: 0000000000000000 R13: 000000012a05f200 R14: 0000000000000001 R15: 00007f9374d57bdc

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 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.

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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) 4.9.337 To (excluding) 4.10

Linux>>Linux_kernel >> Version From (including) 4.14.303 To (excluding) 4.15

Linux>>Linux_kernel >> Version From (including) 4.19.270 To (excluding) 4.20

Linux>>Linux_kernel >> Version From (including) 5.4.229 To (excluding) 5.4.232

Linux>>Linux_kernel >> Version From (including) 5.10.163 To (excluding) 5.10.168

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.94

Linux>>Linux_kernel >> Version From (including) 6.0.16 To (excluding) 6.1

Linux>>Linux_kernel >> Version From (including) 6.1.2 To (excluding) 6.1.12

References