Remote code execution via JNDI resolution in JMX metrics collection in Kafka UI
CVSS Skor
8.1
EPSS İhtimal
%51.1
Risk Skoru
4.1
Yayın
2 yıl önce
Resmî kaynaklarda yeterli kanıt bulunamadı. Bu sonuç “yama yok” anlamına gelmez.
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Zafiyet Açıklaması
DayBreach CVE AI Araştırması
CVE-2024-32030 için toplanan üretici, dağıtım, yama ve güvenlik kaynağı kayıtlarını karşılaştırıp kanıt bağlantılı bir açıklama hazırlayalım.
Kafka UI is an Open-Source Web UI for Apache Kafka Management. Kafka UI API allows users to connect to different Kafka brokers by specifying their network address and port. As a separate feature, it also provides the ability to monitor the performance of Kafka brokers by connecting to their JMX ports. JMX is based on the RMI protocol, so it is inherently susceptible to deserialization attacks. A potential attacker can exploit this feature by connecting Kafka UI backend to its own malicious broker. This vulnerability affects the deployments where one of the following occurs: 1. dynamic.config.enabled property is set in settings. It's not enabled by default, but it's suggested to be enabled in many tutorials for Kafka UI, including its own README.md. OR 2. an attacker has access to the Kafka cluster that is being connected to Kafka UI. In this scenario the attacker can exploit this vulnerability to expand their access and execute code on Kafka UI as well. Instead of setting up a legitimate JMX port, an attacker can create an RMI listener that returns a malicious serialized object for any RMI call. In the worst case it could lead to remote code execution as Kafka UI has the required gadget chains in its classpath. This issue may lead to post-auth remote code execution. This is particularly dangerous as Kafka-UI does not have authentication enabled by default. This issue has been addressed in version 0.7.2. All users are advised to upgrade. There are no known workarounds for this vulnerability. These issues were discovered and reported by the GitHub Security lab and is also tracked as GHSL-2023-230.
IMPACT — Etkilenen Ürünler ve Yazılımlar
Affected Products
The following products are affected by CVE-2024-32030 vulnerability. Even if our threat engine is aware of the exact versions of the products that are affected, the information is represented below.
| ID | VENDOR | PRODUCT | ACTION |
|---|---|---|---|
| 1 | provectus | kafka-ui | İncele |
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 |
|---|---|---|---|---|
| 8.1 | CVSS V31 | HIGH | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H | NVD |
| 8.1 | CVSS V3_1 | HIGH | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H | CVE CNA |
Yama ve İyileştirme Rehberi (Solution)
Solution & Remediation Advisory
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Public exploit ve aktif sömürü durumu
Doğrulanmış exploit istihbaratı
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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-2024-32030 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-2024-32030 weaknesses.
Saldırı Vektörü ve Erişilebilirlik Karakteristiği
Resmi Kaynaklar ve Danışma Bültenleri
CVSS Vektör Radar Grafiği
8.1 / 10Vulnerability Scoring Details
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:HYama durumu bilinmiyor
Zafiyet Türü (CWE & CAPEC)
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curl -H "x-api-key: $DAYBREACH_API_KEY" \ "https://api.daybreach.dev/api/v1/intel/cves/CVE-2024-32030"