3235 matches found
LMDeploy has Remote Code Execution by Pickle Deserialization via handle_zmq_recv in lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py
SummaryLMDeploy's PyTorch DistServe/PD-disaggregation control plane usedrecvpyobj to deserialize messages received through a ZeroMQ PULLsocket. PyZMQ implements recvpyobj using Python pickledeserialization, which can execute arbitrary code while reconstructingan object.The peer address used by th...
PYSEC-2026-4132 Picklescan has a missing detection when calling built-in python profile.Profile.runctx
Summary Using profile.Profile.runctx, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to profile.Profile.runctx function in reduce method Then when the victim...
Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval
SummaryPicklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. DetailsThe attack payload executes in the following steps:- First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method- Then,...
PYSEC-2026-4136 Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper
Summary Using torch.jit.unsupportedtensorops.execWrapper function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.jit.unsupportedtensorops.execWrapper function...
PYSEC-2026-4131 Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval
Summary Picklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method -...
Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper
SummaryUsing torch.jit.unsupportedtensorops.execWrapper function, which is a pytorch library function to execute remote pickle file. DetailsThe attack payload executes in the following steps:First, the attacker craft the payload by calling to torch.jit.unsupportedtensorops.execWrapper function in...
PT-2026-105885
Summary Using torch.jit.unsupported tensor ops.execWrapper function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.jit.unsupported tensor ops.execWrapper...
PT-2026-105881
Summary Using profile.Profile.runctx, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to profile.Profile.runctx function in reduce method Then when the victim...
CVE-2026-94093
DLR-RM stable-baselines3 up to 2.9.0 is affected by unsafe pickle deserialization in the PPO.load, load_replay_buffer, and VecNormalize.load functions of save_util.py, enabling remote attacks with no privileges required (user interaction required). In v2.9.0 the PyTorch tensor load path was harde...
CVE-2026-33625 LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in lmdeploy/pytorch/config.py line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model wit...
CVE-2025-66455
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.2 and prior to version 0.16.0, LMDeploy's PyTorch DistServe/PD-disaggregation control plane used "recvpyobj" to deserialize messages received through a ZeroMQ PULL socket. PyZMQ implements...
CVE-2025-66455: Deserialization of Untrusted Data
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.2 and prior to version 0.16.0, LMDeploy's PyTorch DistServe/PD-disaggregation control plane used recvpyobj to deserialize messages received through a ZeroMQ PULL socket. PyZMQ implements...
PT-2026-95544
Name of the Vulnerable Software and Affected Versions LMDeploy versions 0.9.2 through 0.15.9 Description LMDeploy's PyTorch DistServe/PD-disaggregation control plane uses the recv pyobj function to deserialize messages received through a ZeroMQ PULL socket. This function relies on Python pickle...
CVE-2026-33625: Uncontrolled Resource Consumption
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in lmdeploy/pytorch/config.py line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model wit...
CVE-2026-62997
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedrodatasetsexperimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weightsonly=True, and user-supplied loadargs are silently dropped. On PyTorch versions...
CVE-2026-62997 Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedrodatasetsexperimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weightsonly=True, and user-supplied loadargs are silently dropped. On PyTorch versions...
CVE-2026-62997
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedrodatasetsexperimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weightsonly=True, and user-supplied loadargs are silently dropped. On PyTorch versions...
PT-2026-94089
Name of the Vulnerable Software and Affected Versions kedro-datasets versions 5.0.0 through 9.4.9 Description The kedro datasets experimental.pytorch.PyTorchDataset component loads .pt model files using the torch.load function without enforcing the weights only=True parameter, and it silently dro...
CVE-2026-62997: Deserialization of Untrusted Data
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedrodatasetsexperimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weightsonly=True, and user-supplied loadargs are silently dropped. On PyTorch versions...
