1925 matches found
Deserialization of untrusted data
jsonpickle through 1.4.1 allows remote code execution during deserialization of a malicious payload through the decode function. Note: It has been argued that this is expected and clearly documented behaviour. pickle is known to be capable of causing arbitrary code execution, and must not be used...
CVE-2020-22083
jsonpickle through 1.4.1 allows remote code execution during deserialization of a malicious payload through the decode function. Note: It has been argued that this is expected and clearly documented behaviour. pickle is known to be capable of causing arbitrary code execution, and must not be used...
CVE-2020-22083
jsonpickle through 1.4.1 allows remote code execution during deserialization of a malicious payload through the decode function. Note: It has been argued that this is expected and clearly documented behaviour. pickle is known to be capable of causing arbitrary code execution, and must not be used...
CVE-2020-28975
svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...
Design/Logic Flaw
svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...
PYSEC-2020-108
DISPUTED svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport...
Security Bulletin: WML CE Scikit-learn vulnerable to irresponsible usage
Summary WML containers include scikit-learn. Scikit-learn includes joblib and pickle to cache and load models. Pickle and joblib by extension, has some issues regarding maintainability and security. Because of this, usage of the joblib.load function in scikit-learn must be done in a responsible...
EulerOS Virtualization 3.0.6.0 : numpy (EulerOS-SA-2020-1730)
According to the version of the numpy packages installed, the EulerOS Virtualization installation on the remote host is affected by the following vulnerability : - DISPUTED An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attacker...
Arbitrary Code Execution
tendenci is vulnerable to arbitrary code execution. The ticketlist function in tendenci\apps\helpdesk\views\staff.py does properly restrict variables to the deserialization process and allows an attacker to enter a pickle of arbitrary size, potentially leading to arbitrary code execution...
Insecure Default
Overview apache-airflow is a platform to programmatically author, schedule, and monitor workflows. Affected versions of this package are vulnerable to Insecure Default. The celery broker acceptcontent setting was set to: 'json', 'pickle' by default, allowing deserialization of pickled messages,...
PT-2020-13328
Name of the Vulnerable Software and Affected Versions pandas versions 1.0.0 through 1.0.3 Description The issue allows untrusted files passed to the read pickle function to potentially unserialize and execute commands, specifically if reduce makes an os.system call. It is noted that the read pick...
EulerOS Virtualization for ARM 64 3.0.2.0 : numpy (EulerOS-SA-2020-1545)
According to the version of the numpy packages installed, the EulerOS Virtualization for ARM 64 installation on the remote host is affected by the following vulnerability : - DISPUTED An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remo...
Privilege Escalation
system-config-firewall is vulnerable to privilege escalation. It was found that system-config-firewall used the Python pickle module in an insecure way when sending data via D-Bus to the privileged back-end mechanism. A local user authorized to configure firewall rules using system-config-firewal...
CVE-2019-6446
An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might...
[SECURITY] Fedora 32 Update: PyYAML-5.3.1-1.fc32
YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML...
[SECURITY] Fedora 30 Update: PyYAML-5.3.1-1.fc30
YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML...
EulerOS 2.0 SP5 : numpy (EulerOS-SA-2020-1315)
According to the version of the numpy packages installed, the EulerOS installation on the remote host is affected by the following vulnerability : - An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary...
PT-2022-5291 · Python +9 · Python +9
Name of the Vulnerable Software and Affected Versions: Python versions 3.9.x through 3.9.15 Python versions 3.10.x through 3.10.8 Description: The issue is related to the Python multiprocessing library when used with the forkserver start method on Linux, allowing pickles to be deserialized from a...
MGASA-2019-0322 Updated python-numpy packages fix security vulnerability
Updated python-numpy packages fix security vulnerability: An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call CVE-2019-6446...
Updated python-numpy packages fix security vulnerability
Updated python-numpy packages fix security vulnerability: An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call CVE-2019-6446...