207900 matches found
PYSEC-2026-1254 Cleanlab Deserialization of Untrusted Data vulnerability
Deserialization of untrusted data can occur in versions 2.4.0 or newer of the Cleanlab project, enabling a maliciously crafted datalab.pkl file to run arbitrary code on an end user’s system when the data directory is loaded...
freerdp: FreeRDP: Out-of-bounds write in planar bitmap decoder allows arbitrary code execution
A flaw was found in FreeRDP, a free implementation of the Remote Desktop Protocol. The planar bitmap decoder contains an out-of-bounds heap write vulnerability when processing RLE planar data. A remote attacker could exploit this by providing specially crafted RLE planar data, leading to an...
CVE-2011-10043
Technical details about CVE-2011-10043 are not publicly available in the provided documents. Monitor for updates from official advisories; no confirmed exploit vectors, affected products, or remediation details are included here.
CVE-2011-10043
Module::Load versions before 0.22 for Perl allow arbitrary modules outside of @INC to be loaded. Module names starting with "::" could be passed to the load function to specify arbitrary module paths. Attackers able to influence module names passed to load could use that bug to execute arbitrary...
EUVD-2011-5272
Module::Load versions before 0.22 for Perl allow arbitrary modules outside of @INC to be loaded. Module names starting with "::" could be passed to the load function to specify arbitrary module paths. Attackers able to influence module names passed to load could use that bug to execute arbitrary...
CVE-2011-10043
Module::Load versions before 0.22 for Perl allow arbitrary modules outside of @INC to be loaded. Module names starting with "::" could be passed to the load function to specify arbitrary module paths. Attackers able to influence module names passed to load could use that bug to execute arbitrary...
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-2026-1928 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-2026-2062 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-2026-1654 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-2026-1643 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...
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-2026-1976 tqdm CLI arguments injection attack
Impact Any optional non-boolean CLI arguments e.g. --delim, --buf-size, --manpath are passed through python's eval, allowing arbitrary code execution. Example: sh python -m tqdm --manpath="" + strexec"import os\nos.system'echo hi && killall python3'" + "" Patches...
PYSEC-2026-1945 OpenStack Storlets arbitrary code execution vulnerability
An issue in OpenStack Storlets yoga-eom allows a remote attacker to execute arbitrary code via the gateway.py component...
PYSEC-2026-1978 Transformers Deserialization of Untrusted Data vulnerability
The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the loadrepocheckpoint function of the TFPreTrainedModel class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting...
PYSEC-2026-1858 `qiskit_ibm_runtime.RuntimeDecoder` can execute arbitrary code
Summary deserializing json data using qiskitibmruntime.RuntimeDecoder can be made to execute arbitrary code given a correctly formatted input string Details RuntimeDecoder is supposed to be able to deserialize JSON strings containing various special types encoded via RuntimeEncoder. However, one...
PYSEC-2026-1763 PDM Trojan Lockfile
Summary It's possible to craft a malicious pdm.lock file that could allow e.g. an insider or a malicious open source project to appear to depend on a trusted PyPI project, but actually install another project. Details Project foo can be targeted by creating the project foo-2 and uploading the fil...