GHSA-3X2H-JPXC-PV8R
Vulnerability from github – Published: 2025-09-12 18:31 – Updated: 2025-09-12 18:31In the Linux kernel, the following vulnerability has been resolved:
ACPI: processor: perflib: Move problematic pr->performance check
Commit d33bd88ac0eb ("ACPI: processor: perflib: Fix initial _PPC limit application") added a pr->performance check that prevents the frequency QoS request from being added when the given processor has no performance object. Unfortunately, this causes a WARN() in freq_qos_remove_request() to trigger on an attempt to take the given CPU offline later because the frequency QoS object has not been added for it due to the missing performance object.
Address this by moving the pr->performance check before calling acpi_processor_get_platform_limit() so it only prevents a limit from being set for the CPU if the performance object is not present. This way, the frequency QoS request is added as it was before the above commit and it is present all the time along with the CPU's cpufreq policy regardless of whether or not the CPU is online.
{
"affected": [],
"aliases": [
"CVE-2025-39799"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-12T16:15:34Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nACPI: processor: perflib: Move problematic pr-\u003eperformance check\n\nCommit d33bd88ac0eb (\"ACPI: processor: perflib: Fix initial _PPC limit\napplication\") added a pr-\u003eperformance check that prevents the frequency\nQoS request from being added when the given processor has no performance\nobject. Unfortunately, this causes a WARN() in freq_qos_remove_request()\nto trigger on an attempt to take the given CPU offline later because the\nfrequency QoS object has not been added for it due to the missing\nperformance object.\n\nAddress this by moving the pr-\u003eperformance check before calling\nacpi_processor_get_platform_limit() so it only prevents a limit from\nbeing set for the CPU if the performance object is not present. This\nway, the frequency QoS request is added as it was before the above\ncommit and it is present all the time along with the CPU\u0027s cpufreq\npolicy regardless of whether or not the CPU is online.",
"id": "GHSA-3x2h-jpxc-pv8r",
"modified": "2025-09-12T18:31:10Z",
"published": "2025-09-12T18:31:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-39799"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/19849010c9e18d54375091864a3313fc328d6186"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/31ee723d6fc581b76396994a96b85be3e87f67d6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8972d7dbdac029c9dbf62a45d7d8c71999785765"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/bf2809541497749c4f2646b87bf75244f5a2a5d9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cb4b5f4a1e778f6a20d06d4eda6842714a817618"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d405ec23df13e6df599f5bd965a55d13420366b8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/edc065c19257adfd9c356178dac021df661e169e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fc36403e741d7674a44632313db33fa7605cb2b4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fd9cad6b0676e0bb3a98ee0a8865a86e2f53eb07"
}
],
"schema_version": "1.4.0",
"severity": []
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
Loading timeline…
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.