CVE-2025-38619 : Detail

CVE-2025-38619

7.8
/
High
Memory Corruption
0.02%V4
Local
2025-08-22
16h00 +00:00
2026-07-30
05h55 +00:00
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CVE Descriptions

media: ti: j721e-csi2rx: fix list_del corruption

In the Linux kernel, the following vulnerability has been resolved: media: ti: j721e-csi2rx: fix list_del corruption If ti_csi2rx_start_dma() fails in ti_csi2rx_dma_callback(), the buffer is marked done with VB2_BUF_STATE_ERROR but is not removed from the DMA queue. This causes the same buffer to be retried in the next iteration, resulting in a double list_del() and eventual list corruption. Fix this by removing the buffer from the queue before calling vb2_buffer_done() on error. This resolves a crash due to list_del corruption: [ 37.811243] j721e-csi2rx 30102000.ticsi2rx: Failed to queue the next buffer for DMA [ 37.832187] slab kmalloc-2k start ffff00000255b000 pointer offset 1064 size 2048 [ 37.839761] list_del corruption. next->prev should be ffff00000255bc28, but was ffff00000255d428. (next=ffff00000255b428) [ 37.850799] ------------[ cut here ]------------ [ 37.855424] kernel BUG at lib/list_debug.c:65! [ 37.859876] Internal error: Oops - BUG: 00000000f2000800 [#1] SMP [ 37.866061] Modules linked in: i2c_dev usb_f_rndis u_ether libcomposite dwc3 udc_core usb_common aes_ce_blk aes_ce_cipher ghash_ce gf128mul sha1_ce cpufreq_dt dwc3_am62 phy_gmii_sel sa2ul [ 37.882830] CPU: 0 UID: 0 PID: 0 Comm: swapper/0 Not tainted 6.16.0-rc3+ #28 VOLUNTARY [ 37.890851] Hardware name: Bosch STLA-GSRV2-B0 (DT) [ 37.895737] pstate: 600000c5 (nZCv daIF -PAN -UAO -TCO -DIT -SSBS BTYPE=--) [ 37.902703] pc : __list_del_entry_valid_or_report+0xdc/0x114 [ 37.908390] lr : __list_del_entry_valid_or_report+0xdc/0x114 [ 37.914059] sp : ffff800080003db0 [ 37.917375] x29: ffff800080003db0 x28: 0000000000000007 x27: ffff800080e50000 [ 37.924521] x26: 0000000000000000 x25: ffff0000016abb50 x24: dead000000000122 [ 37.931666] x23: ffff0000016abb78 x22: ffff0000016ab080 x21: ffff800080003de0 [ 37.938810] x20: ffff00000255bc00 x19: ffff00000255b800 x18: 000000000000000a [ 37.945956] x17: 20747562202c3832 x16: 6362353532303030 x15: 0720072007200720 [ 37.953101] x14: 0720072007200720 x13: 0720072007200720 x12: 00000000ffffffea [ 37.960248] x11: ffff800080003b18 x10: 00000000ffffefff x9 : ffff800080f5b568 [ 37.967396] x8 : ffff800080f5b5c0 x7 : 0000000000017fe8 x6 : c0000000ffffefff [ 37.974542] x5 : ffff00000fea6688 x4 : 0000000000000000 x3 : 0000000000000000 [ 37.981686] x2 : 0000000000000000 x1 : ffff800080ef2b40 x0 : 000000000000006d [ 37.988832] Call trace: [ 37.991281] __list_del_entry_valid_or_report+0xdc/0x114 (P) [ 37.996959] ti_csi2rx_dma_callback+0x84/0x1c4 [ 38.001419] udma_vchan_complete+0x1e0/0x344 [ 38.005705] tasklet_action_common+0x118/0x310 [ 38.010163] tasklet_action+0x30/0x3c [ 38.013832] handle_softirqs+0x10c/0x2e0 [ 38.017761] __do_softirq+0x14/0x20 [ 38.021256] ____do_softirq+0x10/0x20 [ 38.024931] call_on_irq_stack+0x24/0x60 [ 38.028873] do_softirq_own_stack+0x1c/0x40 [ 38.033064] __irq_exit_rcu+0x130/0x15c [ 38.036909] irq_exit_rcu+0x10/0x20 [ 38.040403] el1_interrupt+0x38/0x60 [ 38.043987] el1h_64_irq_handler+0x18/0x24 [ 38.048091] el1h_64_irq+0x6c/0x70 [ 38.051501] default_idle_call+0x34/0xe0 (P) [ 38.055783] do_idle+0x1f8/0x250 [ 38.059021] cpu_startup_entry+0x34/0x3c [ 38.062951] rest_init+0xb4/0xc0 [ 38.066186] console_on_rootfs+0x0/0x6c [ 38.070031] __primary_switched+0x88/0x90 [ 38.074059] Code: b00037e0 91378000 f9400462 97e9bf49 (d4210000) [ 38.080168] ---[ end trace 0000000000000000 ]--- [ 38.084795] Kernel panic - not syncing: Oops - BUG: Fatal exception in interrupt [ 38.092197] SMP: stopping secondary CPUs [ 38.096139] Kernel Offset: disabled [ 38.099631] CPU features: 0x0000,00002000,02000801,0400420b [ 38.105202] Memory Limit: none [ 38.108260] ---[ end Kernel panic - not syncing: Oops - BUG: Fatal exception in interrupt ]---

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) 6.7 To (excluding) 6.12.42

Linux>>Linux_kernel >> Version From (including) 6.13 To (excluding) 6.15.10

Linux>>Linux_kernel >> Version From (including) 6.16 To (excluding) 6.16.1

References