sched: sch_cake: add bounds checks to host bulk flow fairness counts
CVSS Skor
7.3
EPSS İhtimal
%0.3
Risk Skoru
0.0
Yayın
1 yıl önce
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Zafiyet Açıklaması
DayBreach CVE AI Araştırması
CVE-2025-21647 için toplanan üretici, dağıtım, yama ve güvenlik kaynağı kayıtlarını karşılaştırıp kanıt bağlantılı bir açıklama hazırlayalım.
In the Linux kernel, the following vulnerability has been resolved: sched: sch_cake: add bounds checks to host bulk flow fairness counts Even though we fixed a logic error in the commit cited below, syzbot still managed to trigger an underflow of the per-host bulk flow counters, leading to an out of bounds memory access. To avoid any such logic errors causing out of bounds memory accesses, this commit factors out all accesses to the per-host bulk flow counters to a series of helpers that perform bounds-checking before any increments and decrements. This also has the benefit of improving readability by moving the conditional checks for the flow mode into these helpers, instead of having them spread out throughout the code (which was the cause of the original logic error). As part of this change, the flow quantum calculation is consolidated into a helper function, which means that the dithering applied to the ost load scaling is now applied both in the DRR rotation and when a sparse flow's quantum is first initiated. The only user-visible effect of this is that the maximum packet size that can be sent while a flow stays sparse will now vary with +/- one byte in some cases. This should not make a noticeable difference in practice, and thus it's not worth complicating the code to preserve the old behaviour.
IMPACT — Etkilenen Ürünler ve Yazılımlar
Affected Products
The following products are affected by CVE-2025-21647 vulnerability. Even if our threat engine is aware of the exact versions of the products that are affected, the information is represented below.
RED HAT CSAF/VEX — Ürün Etki Kontrolü
SCORING — CVSS Çoklu Kaynak Skoru
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from various sources for each CVE.
| SCORE | VERSION | SEVERITY | VECTOR | SOURCE |
|---|---|---|---|---|
| 7.3 | CVSS V31 | HIGH | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H | NVD |
| 7.3 | CVSS V3_1 | HIGH | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H | CVE CNA |
| 7.1 | CVSS V31 | HIGH | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H | NVD |
Yama ve İyileştirme Rehberi (Solution)
Solution & Remediation Advisory
7 doğrulanmış yama veya düzeltilmiş sürüm kanıtı bulundu.
Public exploit ve aktif sömürü durumu
Doğrulanmış exploit istihbaratı
Bu CVE için henüz doğrulanmış public PoC, exploit repository’si veya Metasploit modülü bulunamadı.
Zafiyet Dağılımı ve Saldırı Kalıpları (CWE & CAPEC)
CWE - Common Weakness Enumeration
While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-21647 is associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2025-21647 weaknesses.
Saldırı Vektörü ve Erişilebilirlik Karakteristiği
Resmi Kaynaklar ve Danışma Bültenleri
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