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-2026-1636 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-2026-1648 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-2026-1643 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...

CVE-2025-71369 picklescan - Unsafe Deserialization via torch.utils.data.datapipes.utils.decoder.basichandlers

picklescan before 0.0.28 fails to detect malicious pickle files that use torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, allowing attackers to bypass safety checks. Remote attackers can embed undetected malicious code in pickle files that executes during deserialization,...

CVE-2025-71369

CVE-2025-71369 affects the Python utility picklescan (versions prior to 0.0.28). The vulnerability arises when pickle files leverage torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, enabling bypass of safety checks and allowing remote code execution during deserialization...

CVE-2025-71362

The vulnerability CVE-2025-71362 affects the Python tool picklescan prior to version 0.0.33. It fails to detect unsafe deserialization when numpy.f2py.crackfortran calls eval on arbitrary strings, allowing an attacker to embed malicious code in pickle files that executes upon loading from untrust...

CVE-2025-71362 picklescan - Arbitrary Code Execution via Unsafe Deserialization in numpy.f2py.crackfortran

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...

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...