CVE-2026-15978 CVE-2026-15978

SGLang contains a model weight exfiltration vulnerability when no API keys are configured, as SGLang will expose two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer, attackers can exfiltrate all model weights...

CVE-2026-15978 CVE-2026-15978

SGLang contains a model weight exfiltration vulnerability when no API keys are configured, as SGLang will expose two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer, attackers can exfiltrate all model weights...

CVE-2026-15976

CVE-2026-15976 affects SGLang. The vulnerability is an RCE that occurs when loading model weights from a HuggingFace repository via the /update_weights_from_disk path, where torch.load(..., weights_only=False) may deserialize pickle payloads from .bin files. This is tied to the pickle-deserializa...

EUVD-2026-51264

SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /updateweightsfromdisk, where torch.load..., weightsonly=False fallback enables pickle deserialization of .bin files...

CVE-2026-15976

SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /updateweightsfromdisk, where torch.load..., weightsonly=False fallback enables pickle deserialization of .bin files...

CVE-2026-15976 CVE-2026-15976

SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /updateweightsfromdisk, where torch.load..., weightsonly=False fallback enables pickle deserialization of .bin files...

CVE-2026-15976 CVE-2026-15976

SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /updateweightsfromdisk, where torch.load..., weightsonly=False fallback enables pickle deserialization of .bin files...

PT-2026-66561

Name of the Vulnerable Software and Affected Versions SGLang affected versions not specified Description Remote Code Execution is possible when loading model weights from a HuggingFace repository. The issue occurs at the '/update weights from disk' endpoint, where a fallback to torch.load...,...

UBUNTU-CVE-2024-14040

In the Linux kernel, the following vulnerability has been resolved: net: nexthop: Increase weight to u16 In CLOS networks, as link failures occur at various points in the network, ECMP weights of the involved nodes are adjusted to compensate. With high fan-out of the involved nodes, and overall...

Linux Distros Unpatched Vulnerability : CVE-2024-14040

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - net: nexthop: Increase weight to u16 In CLOS networks, as link failures occur at various points in the network, ECMP weights of the involved nodes are adjusted ...

CVE-2026-12484

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.fromconfig method. This method invokes torch.load..., weightsonly=False without requiring an explicit unsafe opt-in, such ...

PyTorch Lightning allows arbitrary code execution through checkpoint _instantiator hyperparameters

PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...

CVE-2026-58659

PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...

PYSEC-2026-3624

PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...

EUVD-2026-44751

PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the loadstate function that imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass...

PYSEC-2026-3068 Snorkel Trainer.load uses an unsafe torch.load

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the Trainer.load method of the Trainer class. The method loads model checkpoint files using torch.load without enabling the security-restrictive weightsonly=True parameter. This default behavior allows...

PYSEC-2026-3294 TensorFlow has Segfault in Bincount with XLA

Impact When running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...

PYSEC-2026-3131 TensorFlow has Segfault in Bincount with XLA

Impact When running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...

TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

ImpactDenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Trueinput =...

PYSEC-2026-3377 TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

Impact DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True input =...