CVE Intelligence

Vulnerabilidades do Red Hat Enterprise Linux Ai

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CVEs publicadas que afetam Red Hat Enterprise Linux Ai: 3 registro(s), com versões afetadas e correções.
cpe:2.3:o:redhat:enterprise_linux_ai

CVE-2026-48710 Média · 6.5 KEV Alta · 65 Exploit público CWE-444 26/05/2026
Kludex Starlette HTTP Request/Response Smuggling Vulnerability
Starlette is a lightweight ASGI framework/toolkit. Prior to version 1.0.1, the HTTP `Host` request header was not validated before being used to reconstruct `request.url`. Because the routing algorithm relies on the raw HTTP path while `request.url` is rebuilt from the `Host` header, a malformed header could make `request.url.path` differ from the path that was actually requested. Middleware and endpoints that apply security restrictions based on `request.url` (rather than the raw `scope` path) could therefore be bypassed. Users should upgrade to a version greater than or equal to version 1.0.1, which validates the `Host` header against the grammar of RFC 9112 §3.2 / RFC 3986 §3.2.2 when constructing `request.url` and falls back to `scope["server"]` for malformed values.
CVE-2026-6859 Alta · 8.8 CWE-829 22/04/2026
Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise.
CVE-2026-6855 Alta · 7.1 CWE-22 22/04/2026
Instructlab: instructlab: path traversal allows arbitrary directory creation and file write
A flaw was found in InstructLab. A local attacker could exploit a path traversal vulnerability in the chat session handler by manipulating the `logs_dir` parameter. This allows the attacker to create new directories and write files to arbitrary locations on the system, potentially leading to unauthorized data modification or disclosure.