CVE-2025-38189 : Detail

CVE-2025-38189

7.8
/
High
Memory Corruption
0.05%V4
Local
2025-07-04
13h37 +00:00
2026-07-30
05h52 +00:00
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CVE Descriptions

drm/v3d: Avoid NULL pointer dereference in `v3d_job_update_stats()`

In the Linux kernel, the following vulnerability has been resolved: drm/v3d: Avoid NULL pointer dereference in `v3d_job_update_stats()` The following kernel Oops was recently reported by Mesa CI: [ 800.139824] Unable to handle kernel NULL pointer dereference at virtual address 0000000000000588 [ 800.148619] Mem abort info: [ 800.151402] ESR = 0x0000000096000005 [ 800.155141] EC = 0x25: DABT (current EL), IL = 32 bits [ 800.160444] SET = 0, FnV = 0 [ 800.163488] EA = 0, S1PTW = 0 [ 800.166619] FSC = 0x05: level 1 translation fault [ 800.171487] Data abort info: [ 800.174357] ISV = 0, ISS = 0x00000005, ISS2 = 0x00000000 [ 800.179832] CM = 0, WnR = 0, TnD = 0, TagAccess = 0 [ 800.184873] GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0 [ 800.190176] user pgtable: 4k pages, 39-bit VAs, pgdp=00000001014c2000 [ 800.196607] [0000000000000588] pgd=0000000000000000, p4d=0000000000000000, pud=0000000000000000 [ 800.205305] Internal error: Oops: 0000000096000005 [#1] PREEMPT SMP [ 800.211564] Modules linked in: vc4 snd_soc_hdmi_codec drm_display_helper v3d cec gpu_sched drm_dma_helper drm_shmem_helper drm_kms_helper drm drm_panel_orientation_quirks snd_soc_core snd_compress snd_pcm_dmaengine snd_pcm i2c_brcmstb snd_timer snd backlight [ 800.234448] CPU: 0 UID: 0 PID: 0 Comm: swapper/0 Not tainted 6.12.25+rpt-rpi-v8 #1 Debian 1:6.12.25-1+rpt1 [ 800.244182] Hardware name: Raspberry Pi 4 Model B Rev 1.4 (DT) [ 800.250005] pstate: 600000c5 (nZCv daIF -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 800.256959] pc : v3d_job_update_stats+0x60/0x130 [v3d] [ 800.262112] lr : v3d_job_update_stats+0x48/0x130 [v3d] [ 800.267251] sp : ffffffc080003e60 [ 800.270555] x29: ffffffc080003e60 x28: ffffffd842784980 x27: 0224012000000000 [ 800.277687] x26: ffffffd84277f630 x25: ffffff81012fd800 x24: 0000000000000020 [ 800.284818] x23: ffffff8040238b08 x22: 0000000000000570 x21: 0000000000000158 [ 800.291948] x20: 0000000000000000 x19: ffffff8040238000 x18: 0000000000000000 [ 800.299078] x17: ffffffa8c1bd2000 x16: ffffffc080000000 x15: 0000000000000000 [ 800.306208] x14: 0000000000000000 x13: 0000000000000000 x12: 0000000000000000 [ 800.313338] x11: 0000000000000040 x10: 0000000000001a40 x9 : ffffffd83b39757c [ 800.320468] x8 : ffffffd842786420 x7 : 7fffffffffffffff x6 : 0000000000ef32b0 [ 800.327598] x5 : 00ffffffffffffff x4 : 0000000000000015 x3 : ffffffd842784980 [ 800.334728] x2 : 0000000000000004 x1 : 0000000000010002 x0 : 000000ba4c0ca382 [ 800.341859] Call trace: [ 800.344294] v3d_job_update_stats+0x60/0x130 [v3d] [ 800.349086] v3d_irq+0x124/0x2e0 [v3d] [ 800.352835] __handle_irq_event_percpu+0x58/0x218 [ 800.357539] handle_irq_event+0x54/0xb8 [ 800.361369] handle_fasteoi_irq+0xac/0x240 [ 800.365458] handle_irq_desc+0x48/0x68 [ 800.369200] generic_handle_domain_irq+0x24/0x38 [ 800.373810] gic_handle_irq+0x48/0xd8 [ 800.377464] call_on_irq_stack+0x24/0x58 [ 800.381379] do_interrupt_handler+0x88/0x98 [ 800.385554] el1_interrupt+0x34/0x68 [ 800.389123] el1h_64_irq_handler+0x18/0x28 [ 800.393211] el1h_64_irq+0x64/0x68 [ 800.396603] default_idle_call+0x3c/0x168 [ 800.400606] do_idle+0x1fc/0x230 [ 800.403827] cpu_startup_entry+0x40/0x50 [ 800.407742] rest_init+0xe4/0xf0 [ 800.410962] start_kernel+0x5e8/0x790 [ 800.414616] __primary_switched+0x80/0x90 [ 800.418622] Code: 8b170277 8b160296 11000421 b9000861 (b9401ac1) [ 800.424707] ---[ end trace 0000000000000000 ]--- [ 800.457313] ---[ end Kernel panic - not syncing: Oops: Fatal exception in interrupt ]--- This issue happens when the file descriptor is closed before the jobs submitted by it are completed. When the job completes, we update the global GPU stats and the per-fd GPU stats, which are exposed through fdinfo. If the file descriptor was closed, then the struct `v3d_file_priv` and its stats were already freed and we can't update the per-fd stats. Therefore, if the file descriptor was already closed, don't u ---truncated---

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-476 NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.

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.

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.

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 4.18 To (excluding) 6.12.35

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.15.4

Linux>>Linux_kernel >> Version 6.16

Linux>>Linux_kernel >> Version 6.16

References