Red Hat AI Inference Server 3.3 vulnerabilities
46 known vulnerabilities in Red Hat AI Inference Server 3.3 from Red Hat. 45 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
Protobuf: Uncontrolled Recursion
A denial-of-service (DoS) vulnerability exists in google.protobuf.json_format.ParseDict() in Python, where the max_recursion_depth limit can be bypassed when parsing nested google.protobuf.Any messages. Due to missing recursion depth accounting inside the inte
- 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
Red Hat Enterprise Linux 10: Out-of-bounds Write
A segment fault (SEGV) flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFReadRGBATileExt() API. This flaw allows a remote attacker to cause a heap-buffer overflow, leading to a denial of service.