CVE-2026-109227

SGLang through 0.5.21 contains a resource budget bypass vulnerability that allows remote attackers to override GLM-V video processing limits by supplying fps, max_frames, max_tokens_per_frame and max_image_tokens in the video_url object. Attackers can set these values arbitrarily high so glm4v.py decodes every frame of high-resolution video at full size, exhausting worker memory and denying service.

SGLang through 0.5.20 in prefill/decode disaggregation mode fails to validate duplicate bootstrap_room fields in /generate requests with Mooncake KV transfer backend. Unauthenticated attackers can send concurrent requests with identical bootstrap_room values to crash scheduler processes or hang other users' requests until transfer timeout.

SGLang contains an arbitrary code execution vulnerability caused by the ZMQ message decoder unconditionally deserializing PickleWrapper payloads via pickle.loads() in _maybe_unwrap_pickle without type allowlisting or authentication; this vulnerability persists via the msgpack path even when SGLANG_USE_PICKLE_IPC is disabled, and becomes remotely exploitable if data-parallel attention is enabled with a non-loopback --dist-init-addr setting.

SGLang's multimodal generation runtime is vulnerable to unauthenticated arbitrary code execution because the disaggregated-diffusion orchestrator's DiffusionServer binds an unauthenticated ZeroMQ ROUTER socket to a network interface and passes the final frame of received multipart messages directly to pickle.loads() before any validation occurs.

SGLang allows unauthenticated pickle deserialization through /update_weights_from_tensor when no auth keys are configured, and the SafeUnpickler policy can be bypassed because builtins.import and builtins.getattr are resolvable, enabling code execution via pickle REDUCE.

SGLang contains a remote code execution (RCE) vulnerability when loading model weights from a HuggingFace repository. In the /update_weights_from_disk endpoint, torch.load with weights_only=False allows pickle deserialization of .bin files.

SGLang contains a remote code execution (RCE) vulnerability in the optional dumper subsystem. When DUMPER_SERVER_PORT is set, a sandbox escape is possible, enabling code execution on inference requests.

SGLang contains an unauthenticated remote code execution (RCE) vulnerability in the /load_lora_adapter_from_tensors endpoint. It bypasses SafeUnpickler's incomplete denylist, allowing arbitrary command execution through crafted base64-encoded pickle payloads.

The vulnerability in SGLang involves an expert-parallel backup subsystem that exposes a ZeroMQ PULL socket on a routable network interface without authentication or deserialization safeguards. This allows an attacker to provide a malicious pickle file, resulting in unauthenticated remote code execution when the feature is enabled and the service is reachable over the network.

SGLang through 0.5.21 contains a denial of service vulnerability that disables Pillow decompression bomb protection by setting Image.MAX_IMAGE_PIXELS to None in NanoNemotronVLImageProcessor. Remote attackers can submit small, highly compressed images with huge dimensions, exhausting worker memory during decoding.