CVE-2024-42148 Detail

CVE-2024-42148

Score / Severity

7.8

High

EPSS

0.04%V3

Vector

Local

Published

2024-07-30
07h46 +00:00

Modified

2024-12-19
09h14 +00:00

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CVE.org

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CVE Descriptions

bnx2x: Fix multiple UBSAN array-index-out-of-bounds

In the Linux kernel, the following vulnerability has been resolved: bnx2x: Fix multiple UBSAN array-index-out-of-bounds Fix UBSAN warnings that occur when using a system with 32 physical cpu cores or more, or when the user defines a number of Ethernet queues greater than or equal to FP_SB_MAX_E1x using the num_queues module parameter. Currently there is a read/write out of bounds that occurs on the array "struct stats_query_entry query" present inside the "bnx2x_fw_stats_req" struct in "drivers/net/ethernet/broadcom/bnx2x/bnx2x.h". Looking at the definition of the "struct stats_query_entry query" array: struct stats_query_entry query[FP_SB_MAX_E1x+ BNX2X_FIRST_QUEUE_QUERY_IDX]; FP_SB_MAX_E1x is defined as the maximum number of fast path interrupts and has a value of 16, while BNX2X_FIRST_QUEUE_QUERY_IDX has a value of 3 meaning the array has a total size of 19. Since accesses to "struct stats_query_entry query" are offset-ted by BNX2X_FIRST_QUEUE_QUERY_IDX, that means that the total number of Ethernet queues should not exceed FP_SB_MAX_E1x (16). However one of these queues is reserved for FCOE and thus the number of Ethernet queues should be set to [FP_SB_MAX_E1x -1] (15) if FCOE is enabled or [FP_SB_MAX_E1x] (16) if it is not. This is also described in a comment in the source code in drivers/net/ethernet/broadcom/bnx2x/bnx2x.h just above the Macro definition of FP_SB_MAX_E1x. Below is the part of this explanation that it important for this patch /* * The total number of L2 queues, MSIX vectors and HW contexts (CIDs) is * control by the number of fast-path status blocks supported by the * device (HW/FW). Each fast-path status block (FP-SB) aka non-default * status block represents an independent interrupts context that can * serve a regular L2 networking queue. However special L2 queues such * as the FCoE queue do not require a FP-SB and other components like * the CNIC may consume FP-SB reducing the number of possible L2 queues * * If the maximum number of FP-SB available is X then: * a. If CNIC is supported it consumes 1 FP-SB thus the max number of * regular L2 queues is Y=X-1 * b. In MF mode the actual number of L2 queues is Y= (X-1/MF_factor) * c. If the FCoE L2 queue is supported the actual number of L2 queues * is Y+1 * d. The number of irqs (MSIX vectors) is either Y+1 (one extra for * slow-path interrupts) or Y+2 if CNIC is supported (one additional * FP interrupt context for the CNIC). * e. The number of HW context (CID count) is always X or X+1 if FCoE * L2 queue is supported. The cid for the FCoE L2 queue is always X. */ However this driver also supports NICs that use the E2 controller which can handle more queues due to having more FP-SB represented by FP_SB_MAX_E2. Looking at the commits when the E2 support was added, it was originally using the E1x parameters: commit f2e0899f0f27 ("bnx2x: Add 57712 support"). Back then FP_SB_MAX_E2 was set to 16 the same as E1x. However the driver was later updated to take full advantage of the E2 instead of having it be limited to the capabilities of the E1x. But as far as we can tell, the array "stats_query_entry query" was still limited to using the FP-SB available to the E1x cards as part of an oversignt when the driver was updated to take full advantage of the E2, and now with the driver being aware of the greater queue size supported by E2 NICs, it causes the UBSAN warnings seen in the stack traces below. This patch increases the size of the "stats_query_entry query" array by replacing FP_SB_MAX_E1x with FP_SB_MAX_E2 to be large enough to handle both types of NICs. Stack traces: UBSAN: array-index-out-of-bounds in drivers/net/ethernet/broadcom/bnx2x/bnx2x_stats.c:1529:11 index 20 is out of range for type 'stats_query_entry [19]' CPU: 12 PID: 858 Comm: systemd-network Not tainted 6.9.0-060900rc7-generic #202405052133 Hardware name: HP ProLiant DL360 Gen9/ProLiant DL360 ---truncated---

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE-129	Improper Validation of Array Index The product uses untrusted input when calculating or using an array index, but the product does not validate or incorrectly validates the index to ensure the index references a valid position within the array.

Metrics

Metrics	Score	Severity	CVSS Vector	Source
V3.1	7.8	HIGH	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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. 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. High There is a total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server. Integrity Impact This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. High There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to 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.

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