CVE-2022-50011 : Détail

CVE-2022-50011

5.5
/
Moyen
0.04%V4
Local
2025-06-18
11h01 +00:00
2025-12-23
13h26 +00:00
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Descriptions du CVE

venus: pm_helpers: Fix warning in OPP during probe

In the Linux kernel, the following vulnerability has been resolved: venus: pm_helpers: Fix warning in OPP during probe Fix the following WARN triggered during Venus driver probe on 5.19.0-rc8-next-20220728: WARNING: CPU: 7 PID: 339 at drivers/opp/core.c:2471 dev_pm_opp_set_config+0x49c/0x610 Modules linked in: qcom_spmi_adc5 rtc_pm8xxx qcom_spmi_adc_tm5 leds_qcom_lpg led_class_multicolor qcom_pon qcom_vadc_common venus_core(+) qcom_spmi_temp_alarm v4l2_mem2mem videobuf2_v4l2 msm(+) videobuf2_common crct10dif_ce spi_geni_qcom snd_soc_sm8250 i2c_qcom_geni gpu_sched snd_soc_qcom_common videodev qcom_q6v5_pas soundwire_qcom drm_dp_aux_bus qcom_stats drm_display_helper qcom_pil_info soundwire_bus snd_soc_lpass_va_macro mc qcom_q6v5 phy_qcom_snps_femto_v2 qcom_rng snd_soc_lpass_macro_common snd_soc_lpass_wsa_macro lpass_gfm_sm8250 slimbus qcom_sysmon qcom_common qcom_glink_smem qmi_helpers qcom_wdt mdt_loader socinfo icc_osm_l3 display_connector drm_kms_helper qnoc_sm8250 drm fuse ip_tables x_tables ipv6 CPU: 7 PID: 339 Comm: systemd-udevd Not tainted 5.19.0-rc8-next-20220728 #4 Hardware name: Qualcomm Technologies, Inc. Robotics RB5 (DT) pstate: 80400005 (Nzcv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : dev_pm_opp_set_config+0x49c/0x610 lr : dev_pm_opp_set_config+0x58/0x610 sp : ffff8000093c3710 x29: ffff8000093c3710 x28: ffffbca3959d82b8 x27: ffff8000093c3d00 x26: ffffbca3959d8e08 x25: ffff4396cac98118 x24: ffff4396c0e24810 x23: ffff4396c4272c40 x22: ffff4396c0e24810 x21: ffff8000093c3810 x20: ffff4396cac36800 x19: ffff4396cac96800 x18: 0000000000000000 x17: 0000000000000003 x16: ffffbca3f4edf198 x15: 0000001cba64a858 x14: 0000000000000180 x13: 000000000000017e x12: 0000000000000000 x11: 0000000000000002 x10: 0000000000000a60 x9 : ffff8000093c35c0 x8 : ffff4396c4273700 x7 : ffff43983efca6c0 x6 : ffff43983efca640 x5 : 00000000410fd0d0 x4 : ffff4396c4272c40 x3 : ffffbca3f5d1e008 x2 : 0000000000000000 x1 : ffff4396c2421600 x0 : ffff4396cac96860 Call trace: dev_pm_opp_set_config+0x49c/0x610 devm_pm_opp_set_config+0x18/0x70 vcodec_domains_get+0xb8/0x1638 [venus_core] core_get_v4+0x1d8/0x218 [venus_core] venus_probe+0xf4/0x468 [venus_core] platform_probe+0x68/0xd8 really_probe+0xbc/0x2a8 __driver_probe_device+0x78/0xe0 driver_probe_device+0x3c/0xf0 __driver_attach+0x70/0x120 bus_for_each_dev+0x70/0xc0 driver_attach+0x24/0x30 bus_add_driver+0x150/0x200 driver_register+0x64/0x120 __platform_driver_register+0x28/0x38 qcom_venus_driver_init+0x24/0x1000 [venus_core] do_one_initcall+0x54/0x1c8 do_init_module+0x44/0x1d0 load_module+0x16c8/0x1aa0 __do_sys_finit_module+0xbc/0x110 __arm64_sys_finit_module+0x20/0x30 invoke_syscall+0x44/0x108 el0_svc_common.constprop.0+0xcc/0xf0 do_el0_svc+0x2c/0xb8 el0_svc+0x2c/0x88 el0t_64_sync_handler+0xb8/0xc0 el0t_64_sync+0x18c/0x190 qcom-venus: probe of aa00000.video-codec failed with error -16 The fix is re-ordering the code related to OPP core. The OPP core expects all configuration options to be provided before the OPP table is added.

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) 5.15.63

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 5.19.4

Références