CVE-2025-37821
06h26 +00:00
Deskripsi CVE
sched/eevdf: Fix se->slice being set to U64_MAX and resulting crash
In the Linux kernel, the following vulnerability has been resolved: sched/eevdf: Fix se->slice being set to U64_MAX and resulting crash There is a code path in dequeue_entities() that can set the slice of a sched_entity to U64_MAX, which sometimes results in a crash. The offending case is when dequeue_entities() is called to dequeue a delayed group entity, and then the entity's parent's dequeue is delayed. In that case: 1. In the if (entity_is_task(se)) else block at the beginning of dequeue_entities(), slice is set to cfs_rq_min_slice(group_cfs_rq(se)). If the entity was delayed, then it has no queued tasks, so cfs_rq_min_slice() returns U64_MAX. 2. The first for_each_sched_entity() loop dequeues the entity. 3. If the entity was its parent's only child, then the next iteration tries to dequeue the parent. 4. If the parent's dequeue needs to be delayed, then it breaks from the first for_each_sched_entity() loop _without updating slice_. 5. The second for_each_sched_entity() loop sets the parent's ->slice to the saved slice, which is still U64_MAX. This throws off subsequent calculations with potentially catastrophic results. A manifestation we saw in production was: 6. In update_entity_lag(), se->slice is used to calculate limit, which ends up as a huge negative number. 7. limit is used in se->vlag = clamp(vlag, -limit, limit). Because limit is negative, vlag > limit, so se->vlag is set to the same huge negative number. 8. In place_entity(), se->vlag is scaled, which overflows and results in another huge (positive or negative) number. 9. The adjusted lag is subtracted from se->vruntime, which increases or decreases se->vruntime by a huge number. 10. pick_eevdf() calls entity_eligible()/vruntime_eligible(), which incorrectly returns false because the vruntime is so far from the other vruntimes on the queue, causing the (vruntime - cfs_rq->min_vruntime) * load calulation to overflow. 11. Nothing appears to be eligible, so pick_eevdf() returns NULL. 12. pick_next_entity() tries to dereference the return value of pick_eevdf() and crashes. Dumping the cfs_rq states from the core dumps with drgn showed tell-tale huge vruntime ranges and bogus vlag values, and I also traced se->slice being set to U64_MAX on live systems (which was usually "benign" since the rest of the runqueue needed to be in a particular state to crash). Fix it in dequeue_entities() by always setting slice from the first non-empty cfs_rq.Informasi CVE
Kelemahan Terkait
| Nama Kelemahan | Sumber | |
|---|---|---|
| NULL Pointer Dereference The product dereferences a pointer that it expects to be valid but is NULL. |
Metrik
| Metrik | Skor | Tingkat keparahan | CVSS Vektor | Sumber |
|---|---|---|---|---|
| V3.1 | 5.5 | MEDIUM |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Informasi lebih lanjut
Base: Exploitabilty MetricsThe 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 MetricsThe 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 MetricsThe 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 MetricsThe 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 MetricsThese 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 |
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