漏洞信息
尽管我们使用了先进的大模型技术,但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性,但请您根据实际情况进行核实和判断。
Vulnerability Title
Unsafe Deserialization in keras.layers.TorchModuleWrapper.from_config
Vulnerability Description
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.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.
CVSS Information
N/A
Vulnerability Type
可信数据的反序列化
Vulnerability Title
Keras 反序列化注入漏洞
Vulnerability Description
Keras是Keras团队开源的一个多后端深度学习框架。 Keras 3.15.0版本存在反序列化注入漏洞,该漏洞源于通过`keras.layers.TorchModuleWrapper.from_config`方法对攻击者控制的PyTorch pickle数据进行不安全反序列化,可能导致远程代码执行。
CVSS Information
N/A
Vulnerability Type
N/A