Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learningUpgrade sglang to version 0.5.10.post1 or higher.
sglang is a SGLang is a fast serving framework for large language models and vision language models.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the encode_receiver.py message handling logic in the encoder parallel disaggregation system. An attacker can execute arbitrary code by sending crafted payloads to the ZMQ socket when the encoder_transfer_backend zmq_to_scheduler option is enabled. The receiver binds to tcp://* and directly passes received data to pickle.loads() without authentication or validation, allowing malicious serialized objects to be deserialized and executed.