CVE-2024-56656 : Detail

CVE-2024-56656

5.5
/
Medium
0.02%V4
Local
2024-12-27
15h06 +00:00
2025-01-20
06h25 +00:00
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CVE Descriptions

bnxt_en: Fix aggregation ID mask to prevent oops on 5760X chips

In the Linux kernel, the following vulnerability has been resolved: bnxt_en: Fix aggregation ID mask to prevent oops on 5760X chips The 5760X (P7) chip's HW GRO/LRO interface is very similar to that of the previous generation (5750X or P5). However, the aggregation ID fields in the completion structures on P7 have been redefined from 16 bits to 12 bits. The freed up 4 bits are redefined for part of the metadata such as the VLAN ID. The aggregation ID mask was not modified when adding support for P7 chips. Including the extra 4 bits for the aggregation ID can potentially cause the driver to store or fetch the packet header of GRO/LRO packets in the wrong TPA buffer. It may hit the BUG() condition in __skb_pull() because the SKB contains no valid packet header: kernel BUG at include/linux/skbuff.h:2766! Oops: invalid opcode: 0000 1 PREEMPT SMP NOPTI CPU: 4 UID: 0 PID: 0 Comm: swapper/4 Kdump: loaded Tainted: G OE 6.12.0-rc2+ #7 Tainted: [O]=OOT_MODULE, [E]=UNSIGNED_MODULE Hardware name: Dell Inc. PowerEdge R760/0VRV9X, BIOS 1.0.1 12/27/2022 RIP: 0010:eth_type_trans+0xda/0x140 Code: 80 00 00 00 eb c1 8b 47 70 2b 47 74 48 8b 97 d0 00 00 00 83 f8 01 7e 1b 48 85 d2 74 06 66 83 3a ff 74 09 b8 00 04 00 00 eb a5 <0f> 0b b8 00 01 00 00 eb 9c 48 85 ff 74 eb 31 f6 b9 02 00 00 00 48 RSP: 0018:ff615003803fcc28 EFLAGS: 00010283 RAX: 00000000000022d2 RBX: 0000000000000003 RCX: ff2e8c25da334040 RDX: 0000000000000040 RSI: ff2e8c25c1ce8000 RDI: ff2e8c25869f9000 RBP: ff2e8c258c31c000 R08: ff2e8c25da334000 R09: 0000000000000001 R10: ff2e8c25da3342c0 R11: ff2e8c25c1ce89c0 R12: ff2e8c258e0990b0 R13: ff2e8c25bb120000 R14: ff2e8c25c1ce89c0 R15: ff2e8c25869f9000 FS: 0000000000000000(0000) GS:ff2e8c34be300000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 000055f05317e4c8 CR3: 000000108bac6006 CR4: 0000000000773ef0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000fffe07f0 DR7: 0000000000000400 PKRU: 55555554 Call Trace: ? die+0x33/0x90 ? do_trap+0xd9/0x100 ? eth_type_trans+0xda/0x140 ? do_error_trap+0x65/0x80 ? eth_type_trans+0xda/0x140 ? exc_invalid_op+0x4e/0x70 ? eth_type_trans+0xda/0x140 ? asm_exc_invalid_op+0x16/0x20 ? eth_type_trans+0xda/0x140 bnxt_tpa_end+0x10b/0x6b0 [bnxt_en] ? bnxt_tpa_start+0x195/0x320 [bnxt_en] bnxt_rx_pkt+0x902/0xd90 [bnxt_en] ? __bnxt_tx_int.constprop.0+0x89/0x300 [bnxt_en] ? kmem_cache_free+0x343/0x440 ? __bnxt_tx_int.constprop.0+0x24f/0x300 [bnxt_en] __bnxt_poll_work+0x193/0x370 [bnxt_en] bnxt_poll_p5+0x9a/0x300 [bnxt_en] ? try_to_wake_up+0x209/0x670 __napi_poll+0x29/0x1b0 Fix it by redefining the aggregation ID mask for P5_PLUS chips to be 12 bits. This will work because the maximum aggregation ID is less than 4096 on all P5_PLUS chips.

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.

 nvd@nist.gov

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) 6.8 To (excluding) 6.12.6

Linux>>Linux_kernel >> Version 6.13

Linux>>Linux_kernel >> Version 6.13

References

The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.