CVE-2021-47268 : Detail

CVE-2021-47268

7.8
/
High
0.04%V3
Local
2024-05-21
14h19 +00:00
2024-12-19
07h38 +00:00
CVE.org
NVD
Notifications for a CVE
Stay informed of any changes for a specific CVE.
Notifications manage

CVE Descriptions

usb: typec: tcpm: cancel vdm and state machine hrtimer when unregister tcpm port

In the Linux kernel, the following vulnerability has been resolved: usb: typec: tcpm: cancel vdm and state machine hrtimer when unregister tcpm port A pending hrtimer may expire after the kthread_worker of tcpm port is destroyed, see below kernel dump when do module unload, fix it by cancel the 2 hrtimers. [ 111.517018] Unable to handle kernel paging request at virtual address ffff8000118cb880 [ 111.518786] blk_update_request: I/O error, dev sda, sector 60061185 op 0x0:(READ) flags 0x0 phys_seg 1 prio class 0 [ 111.526594] Mem abort info: [ 111.526597] ESR = 0x96000047 [ 111.526600] EC = 0x25: DABT (current EL), IL = 32 bits [ 111.526604] SET = 0, FnV = 0 [ 111.526607] EA = 0, S1PTW = 0 [ 111.526610] Data abort info: [ 111.526612] ISV = 0, ISS = 0x00000047 [ 111.526615] CM = 0, WnR = 1 [ 111.526619] swapper pgtable: 4k pages, 48-bit VAs, pgdp=0000000041d75000 [ 111.526623] [ffff8000118cb880] pgd=10000001bffff003, p4d=10000001bffff003, pud=10000001bfffe003, pmd=10000001bfffa003, pte=0000000000000000 [ 111.526642] Internal error: Oops: 96000047 [#1] PREEMPT SMP [ 111.526647] Modules linked in: dwc3_imx8mp dwc3 phy_fsl_imx8mq_usb [last unloaded: tcpci] [ 111.526663] CPU: 0 PID: 0 Comm: swapper/0 Not tainted 5.13.0-rc4-00927-gebbe9dbd802c-dirty #36 [ 111.526670] Hardware name: NXP i.MX8MPlus EVK board (DT) [ 111.526674] pstate: 800000c5 (Nzcv daIF -PAN -UAO -TCO BTYPE=--) [ 111.526681] pc : queued_spin_lock_slowpath+0x1a0/0x390 [ 111.526695] lr : _raw_spin_lock_irqsave+0x88/0xb4 [ 111.526703] sp : ffff800010003e20 [ 111.526706] x29: ffff800010003e20 x28: ffff00017f380180 [ 111.537156] buffer_io_error: 6 callbacks suppressed [ 111.537162] Buffer I/O error on dev sda1, logical block 60040704, async page read [ 111.539932] x27: ffff00017f3801c0 [ 111.539938] x26: ffff800010ba2490 x25: 0000000000000000 x24: 0000000000000001 [ 111.543025] blk_update_request: I/O error, dev sda, sector 60061186 op 0x0:(READ) flags 0x0 phys_seg 7 prio class 0 [ 111.548304] [ 111.548306] x23: 00000000000000c0 x22: ffff0000c2a9f184 x21: ffff00017f380180 [ 111.551374] Buffer I/O error on dev sda1, logical block 60040705, async page read [ 111.554499] [ 111.554503] x20: ffff0000c5f14210 x19: 00000000000000c0 x18: 0000000000000000 [ 111.557391] Buffer I/O error on dev sda1, logical block 60040706, async page read [ 111.561218] [ 111.561222] x17: 0000000000000000 x16: 0000000000000000 x15: 0000000000000000 [ 111.564205] Buffer I/O error on dev sda1, logical block 60040707, async page read [ 111.570887] x14: 00000000000000f5 x13: 0000000000000001 x12: 0000000000000040 [ 111.570902] x11: ffff0000c05ac6d8 [ 111.583420] Buffer I/O error on dev sda1, logical block 60040708, async page read [ 111.588978] x10: 0000000000000000 x9 : 0000000000040000 [ 111.588988] x8 : 0000000000000000 [ 111.597173] Buffer I/O error on dev sda1, logical block 60040709, async page read [ 111.605766] x7 : ffff00017f384880 x6 : ffff8000118cb880 [ 111.605777] x5 : ffff00017f384880 [ 111.611094] Buffer I/O error on dev sda1, logical block 60040710, async page read [ 111.617086] x4 : 0000000000000000 x3 : ffff0000c2a9f184 [ 111.617096] x2 : ffff8000118cb880 [ 111.622242] Buffer I/O error on dev sda1, logical block 60040711, async page read [ 111.626927] x1 : ffff8000118cb880 x0 : ffff00017f384888 [ 111.626938] Call trace: [ 111.626942] queued_spin_lock_slowpath+0x1a0/0x390 [ 111.795809] kthread_queue_work+0x30/0xc0 [ 111.799828] state_machine_timer_handler+0x20/0x30 [ 111.804624] __hrtimer_run_queues+0x140/0x1e0 [ 111.808990] hrtimer_interrupt+0xec/0x2c0 [ 111.813004] arch_timer_handler_phys+0x38/0x50 [ 111.817456] handle_percpu_devid_irq+0x88/0x150 [ 111.821991] __handle_domain_irq+0x80/0xe0 [ 111.826093] gic_handle_irq+0xc0/0x140 [ 111.829848] el1_irq+0xbc/0x154 [ 111.832991] arch_cpu_idle+0x1c/0x2c [ 111.836572] default_idle_call+0x24/0x6c [ 111.840497] do_idle+0x238/0x2ac [ 1 ---truncated---

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

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

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.
EPSS First.org

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 5.10 To (excluding) 5.10.44

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.12.11

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

Linux>>Linux_kernel >> Version 5.13

References