CVE-2022-49157 : Détail

CVE-2022-49157

5.5
/
Moyen
0.01%V4
Local
2025-02-26
01h55 +00:00
2025-12-23
13h22 +00:00
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Descriptions du CVE

scsi: qla2xxx: Fix premature hw access after PCI error

In the Linux kernel, the following vulnerability has been resolved: scsi: qla2xxx: Fix premature hw access after PCI error After a recoverable PCI error has been detected and recovered, qla driver needs to check to see if the error condition still persist and/or wait for the OS to give the resume signal. Sep 8 22:26:03 localhost kernel: WARNING: CPU: 9 PID: 124606 at qla_tmpl.c:440 qla27xx_fwdt_entry_t266+0x55/0x60 [qla2xxx] Sep 8 22:26:03 localhost kernel: RIP: 0010:qla27xx_fwdt_entry_t266+0x55/0x60 [qla2xxx] Sep 8 22:26:03 localhost kernel: Call Trace: Sep 8 22:26:03 localhost kernel: ? qla27xx_walk_template+0xb1/0x1b0 [qla2xxx] Sep 8 22:26:03 localhost kernel: ? qla27xx_execute_fwdt_template+0x12a/0x160 [qla2xxx] Sep 8 22:26:03 localhost kernel: ? qla27xx_fwdump+0xa0/0x1c0 [qla2xxx] Sep 8 22:26:03 localhost kernel: ? qla2xxx_pci_mmio_enabled+0xfb/0x120 [qla2xxx] Sep 8 22:26:03 localhost kernel: ? report_mmio_enabled+0x44/0x80 Sep 8 22:26:03 localhost kernel: ? report_slot_reset+0x80/0x80 Sep 8 22:26:03 localhost kernel: ? pci_walk_bus+0x70/0x90 Sep 8 22:26:03 localhost kernel: ? aer_dev_correctable_show+0xc0/0xc0 Sep 8 22:26:03 localhost kernel: ? pcie_do_recovery+0x1bb/0x240 Sep 8 22:26:03 localhost kernel: ? aer_recover_work_func+0xaa/0xd0 Sep 8 22:26:03 localhost kernel: ? process_one_work+0x1a7/0x360 .. Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-8041:22: detected PCI disconnect. Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-107ff:22: qla27xx_fwdt_entry_t262: dump ram MB failed. Area 5h start 198013h end 198013h Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-107ff:22: Unable to capture FW dump Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-1015:22: cmd=0x0, waited 5221 msecs Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-680d:22: mmio enabled returning. Sep 8 22:26:03 localhost kernel: qla2xxx [0000:42:00.2]-d04c:22: MBX Command timeout for cmd 0, iocontrol=ffffffff jiffies=10140f2e5 mb[0-3]=[0xffff 0xffff 0xffff 0xffff]

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE Other No informations.

Métriques

Métriques Score Gravité CVSS Vecteur 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 est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.

Score EPSS

Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.

Percentile EPSS

Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version To (excluding) 5.15.33

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 5.16.19

Linux>>Linux_kernel >> Version From (including) 5.17 To (excluding) 5.17.2

Références