9 matches found
CVE-2026-12484
A flaw was found in Keras, specifically within the keras.layers.TorchModuleWrapper.fromconfig method. This vulnerability allows an attacker to perform unsafe deserialization of PyTorch pickle data. By processing untrusted Keras layer configurations, a local attacker could exploit this flaw, leadi...
The vulnerability of the TorchModuleWrapper.from_config() function in the Keras library allows a hacker to execute arbitrary code.
The vulnerability of the TorchModuleWrapper.fromconfig function in the Keras library is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability could allow an attacker to execute arbitrary code...
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 ...
DEBIAN-CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481 Deserialization of Untrusted Data in keras-team/keras
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481 Deserialization of Untrusted Data in keras-team/keras
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
CVE-2026-12481
A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the Lambda layer. Specifically, the raiseforlambdadeserialization function fails to enforce the safe-mode guard when safemode is set to None, which is the default...
Lambda Layer `safe_mode=None` Guard Bypass — Arbitrary Code Execution via `from_config()`
Description Keras's Lambda layer deserializes Python functions using marshal.loads on attacker-controlled bytecode. A safe-mode guard in raiseforlambdadeserialization is intended to block this path, but a logic error causes the guard to silently pass when safemode is None — the default value when...
Directory Traversal
Overview langchain-core is a Building applications with LLMs through composability Affected versions of this package are vulnerable to Directory Traversal via the loadprompt, loadpromptfromconfig, or .save methods on prompt classes. An attacker can access arbitrary files on the host filesystem by...