Security Vulnerabilities
This issue was addressed with improved file handling. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. A malicious application may be able to execute arbitrary code with system privileges.
CVSS Score
7.8
EPSS Score
0.002
Published
2026-10-26
A buffer overflow was addressed with improved bounds checking. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. Processing a maliciously crafted image may lead to unexpected process termination.
CVSS Score
4.3
EPSS Score
0.005
Published
2026-10-26
A double free issue was addressed with improved memory management. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. An attacker on the local network may be able to cause unexpected system termination or corrupt process memory.
CVSS Score
7.1
EPSS Score
0.004
Published
2026-10-26
A logic issue was addressed with improved state management. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. An unprivileged attacker may be able to execute arbitrary code as root.
CVSS Score
8.8
EPSS Score
0.007
Published
2026-10-26
An authentication issue was addressed with improved state management. This issue is fixed in macOS Golden Gate 27.2. A remote attacker may be able to cause arbitrary code execution.
CVSS Score
8.1
EPSS Score
0.007
Published
2026-10-26
An out-of-bounds write was addressed with improved input validation. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2, visionOS 27.2. An app may be able to cause unexpected system termination or corrupt process memory.
CVSS Score
6.5
EPSS Score
0.005
Published
2026-10-26
vLLM is an inference and serving engine for large language models. From 0.16.0 until 0.32.0, the /v1/responses endpoint allows an authenticated caller to place an attacker-controlled template in chat_template_kwargs[chat_template] when no server template is configured. ChatParams.get_apply_chat_template_kwargs() preserves that value without enforcing trust_request_chat_template, so the request can bypass the intended trust policy and cause CPU or memory exhaustion through Jinja rendering. This issue is fixed in version 0.32.0.
CVSS Score
6.5
EPSS Score
0.004
Published
2026-10-26
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the OpenAI-compatible server configures Starlette CORSMiddleware with allowed_origins set to a wildcard by default. A malicious web page can use a victim's browser to reach an unauthenticated vLLM server on localhost, an internal network, or a VPN, call endpoints including GET /v1/models and POST /v1/chat/completions, consume GPU resources, and read responses. Cookie-based cross-site request forgery does not apply because credentials are disabled by default, and deployments requiring bearer authentication are exposed only when the caller already has a usable token. This issue is fixed in version 0.32.0.
CVSS Score
3.4
EPSS Score
0.002
Published
2026-10-26
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, vllm/tokenizers/hf.py computes max_token_id with an off-by-one upper bound, allowing a pre-tokenized prompt ID equal to the vocabulary size to pass validation. For a tensor-parallel size of one and an exact multiple-of-64 vocabulary, VocabParallelEmbedding.forward does not mask that value before F.embedding uses it, causing a CUDA device-side assertion and terminating the engine. This issue is fixed in version 0.32.0.
CVSS Score
6.5
EPSS Score
0.003
Published
2026-10-26
vLLM is an inference and serving engine for large language models. From 0.11.1 until 0.32.0, the DeepSeek-OCR, DeepSeek-OCR-2, and Unlimited-OCR image path allows a remote client that can reach the OpenAI-compatible API to submit a legal image whose normalized pixels sum to zero when that image is alone in its per-step encoder batch. _parse_and_validate_image_input returns no embedding, embed_multimodal propagates that value, and sanity_check_mm_encoder_outputs triggers a fatal assertion that shuts down the engine for all users. This issue is fixed in version 0.32.0.
CVSS Score
6.5
EPSS Score
0.004
Published
2026-10-26