2047 matches found
CVE-2026-14534
A flaw was found in the fickling library, which is designed to safely handle Python pickle data. The library's security checks in versions up to and including 0.1.10 fail to properly identify and block certain dangerous Python standard library modules during deserialization. This oversight allows...
PYSEC-2026-2062 ydata unsafe deserialization
Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded...
PYSEC-2026-1928 Skops unsafe deserialization
Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded...
PYSEC-2026-1654 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1647 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run...
PYSEC-2026-2061 ydata unsafe deserialization
Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded...
PYSEC-2026-1648 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1636 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1643 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1663 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1651 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with...
CVE-2026-43825
The CVE concerns Apache OpenNLP’s SvmDoccatModel (libsvm document categorization module), with impact on 3.x releases before 3.0.0-M4. The vulnerability arises in SvmDoccatModel.deserialize(InputStream), which uses java.io.ObjectInputStream.readObject() on an attacker-controlled stream without an...
CVE-2026-43825 Apache OpenNLP :: Core :: ML :: LibSVM: Unsafe Java Deserialization in SvmDoccatModel
Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel Versions Affected: before 3.0.0-M4 libsvm document categorization module; introduced in OPENNLP-1808 and only present on the 3.x line Description: SvmDoccatModel.deserializeInputStream reads an attacker-controlled stream with...
CVE-2026-43825 Apache OpenNLP :: Core :: ML :: LibSVM: Unsafe Java Deserialization in SvmDoccatModel
Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel Versions Affected: before 3.0.0-M4 libsvm document categorization module; introduced in OPENNLP-1808 and only present on the 3.x line Description: SvmDoccatModel.deserializeInputStream reads an attacker-controlled stream with...
CVE-2026-40859 Apache Camel: Camel-Vertx-Http: Unsafe Java deserialization of HTTP response bodies via a raw ObjectInputStream when transferException is enabled
Deserialization of Untrusted Data vulnerability in Apache Camel. The camel-vertx-http component deserializes HTTP response bodies carrying the Content-Type application/x-java-serialized-object using a raw java.io.ObjectInputStream, without applying any ObjectInputFilter...
CVE-2026-40859 Apache Camel: Camel-Vertx-Http: Unsafe Java deserialization of HTTP response bodies via a raw ObjectInputStream when transferException is enabled
Deserialization of Untrusted Data vulnerability in Apache Camel. The camel-vertx-http component deserializes HTTP response bodies carrying the Content-Type application/x-java-serialized-object using a raw java.io.ObjectInputStream, without applying any ObjectInputFilter...
CVE-2026-40859
CVE-2026-40859 – Apache Camel Camel-Vertx-Http deserialization vulnerability : The camel-vertx-http component deserializes HTTP response bodies with Content-Type application/x-java-serialized-object using a raw java.io.ObjectInputStream without an ObjectInputFilter, when transferException=true (o...
[SECURITY] [DSA 6380-1] mediawiki security update
------------------------------------------------------------------------- Debian Security Advisory DSA-6380-1 [email protected] https://www.debian.org/security/ Moritz Muehlenhoff July 05, 2026 https://www.debian.org/security/faq -...
CVE-2026-14534
Trail of Bits fickling versions up to and including 0.1.10 do not include the Python standard library modules posixsubprocess, site, and atexit in the UNSAFEIMPORTS denylist fickle.py. Because these modules are absent from the denylist, fickling's checksafety function returns LIKELYSAFE with zero...
CVE-2025-71362
picklescan before 0.0.33 fails to detect unsafe deserialization when numpy.f2py.crackfortran functions call eval on arbitrary strings. Attackers can embed malicious code in pickle files that executes when loaded from untrusted sources...