Red Hat AI Inference Server vulnerabilities
48 known vulnerabilities in Red Hat AI Inference Server from Red Hat. 47 are rated high or critical, and 1 has been exploited in real attacks. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 9.8 Critical severity
vllm: Insertion of Sensitive Information into Log File
vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this le
- 7.1 High severity
vllm: Server-Side Request Forgery
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The load_from_url and l
- 7.5 High severity
python-multipart: Improper Limitation of a Pathname to a Restricted Directory
Python-Multipart is a streaming multipart parser for Python. Prior to version 0.0.22, a Path Traversal vulnerability exists when using non-default configuration options `UPLOAD_DIR` and `UPLOAD_KEEP_FILENAME=True`. An attacker can write uploaded files to arbit
- 7.8 High severity
Sentencepiece: Improper Restriction of Operations within the Bounds of a Memory Buffer
Invalid memory access in Sentencepiece versions less than 0.2.1 when using a vulnerable model file, which is not created in the normal training procedure.
- 9.8 Critical severity
vllm: Improper Control of Generation of Code
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face `auto_map` dynamic modules during model resolution without gating on `trust_remote_code`, allowing attacke
- 7.5 High severity
pyasn1: Allocation of Resources Without Limits or Throttling
pyasn1 is a generic ASN.1 library for Python. Prior to 0.6.2, a Denial-of-Service issue has been found that leads to memory exhaustion from malformed RELATIVE-OID with excessive continuation octets. This vulnerability is fixed in 0.6.2.
- 7.5 High severity
aiohttp: Improper Handling of Highly Compressed Data (Data Amplification)
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Versions 3.13.2 and below allow a zip bomb to be used to execute a DoS against the AIOHTTP server. An attacker may be able to send a compressed request that when decompressed by AI
- 7.1 High severity
Red Hat AI Inference Server: Server-Side Request Forgery
A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restricti