Описание
A flaw was found in the guardrails-detectors component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets.
Отчет
This is an Important vulnerability in the guardrails-detectors component of Red Hat OpenShift AI (RHOAI) that allows a remote attacker to perform blind Server-Side Request Forgery (SSRF) and local file reads. By submitting a specially crafted XML Schema Definition (XSD) string, an attacker can gain unauthorized access to sensitive information, including cloud metadata credentials, Kubernetes API, internal MinIO, and other internal network endpoints, as well as service account tokens and pod secrets.
Затронутые пакеты
| Платформа | Пакет | Состояние | Рекомендация | Релиз |
|---|---|---|---|---|
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-fms-guardrails-orchestrator-rhel9 | Affected |
Показывать по
Дополнительная информация
Статус:
EPSS
9.3 Critical
CVSS3
Связанные уязвимости
A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets.
A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets.
EPSS
9.3 Critical
CVSS3