Search Results
There are 37 CVE Records that match your search.
| Name | Description |
|---|---|
| CVE-2024-28425 | greykite v1.0.0 was discovered to contain an arbitrary file upload vulnerability in the load_obj function at /templates/pickle_utils.py. This vulnerability allows attackers to execute arbitrary code via uploading a crafted file. |
| CVE-2024-25359 | An issue in zuoxingdong lagom v.0.1.2 allows a local attacker to execute arbitrary code via the pickle_load function of the serialize.py file. |
| CVE-2024-2044 | pgAdmin <= 8.3 is affected by a path-traversal vulnerability while deserializing users’ sessions in the session handling code. If the server is running on Windows, an unauthenticated attacker can load and deserialize remote pickle objects and gain code execution. If the server is running on POSIX/Linux, an authenticated attacker can upload pickle objects, deserialize them, and gain code execution. |
| CVE-2023-50943 | Apache Airflow, versions before 2.8.1, have a vulnerability that allows a potential attacker to poison the XCom data by bypassing the protection of "enable_xcom_pickling=False" configuration setting resulting in poisoned data after XCom deserialization. This vulnerability is considered low since it requires a DAG author to exploit it. Users are recommended to upgrade to version 2.8.1 or later, which fixes this issue. |
| CVE-2023-32321 | CKAN is an open-source data management system for powering data hubs and data portals. Multiple vulnerabilities have been discovered in Ckan which may lead to remote code execution. An arbitrary file write in `resource_create` and `package_update` actions, using the `ResourceUploader` object. Also reachable via `package_create`, `package_revise`, and `package_patch` via calls to `package_update`. Remote code execution via unsafe pickle loading, via Beaker's session store when configured to use the file session store backend. Potential DOS due to lack of a length check on the resource id. Information disclosure: A user with permission to create a resource can access any other resource on the system if they know the id, even if they don't have access to it. Resource overwrite: A user with permission to create a resource can overwrite any resource if they know the id, even if they don't have access to it. A user with permissions to create or edit a dataset can upload a resource with a specially crafted id to write the uploaded file in an arbitrary location. This can be leveraged to Remote Code Execution via Beaker's insecure pickle loading. All the above listed vulnerabilities have been fixed in CKAN 2.9.9 and CKAN 2.10.1. Users are advised to upgrade. There are no known workarounds for these issues. |
| CVE-2023-23930 | vantage6 is privacy preserving federated learning infrastructure. Versions prior to 4.0.0 use pickle, which has known security issue, as a default serialization module but that has known security issues. All users of vantage6 that post tasks with the default serialization are affected. Version 4.0.0 contains a patch. Users may specify JSON serialization as a workaround. |
| CVE-2022-40238 | A Remote Code Injection vulnerability exists in CERT software prior to version 1.50.5. An authenticated attacker can inject arbitrary pickle object as part of a user's profile. This can lead to code execution on the server when the user's profile is accessed. |
| CVE-2022-35411 | rpc.py through 0.6.0 allows Remote Code Execution because an unpickle occurs when the "serializer: pickle" HTTP header is sent. In other words, although JSON (not Pickle) is the default data format, an unauthenticated client can cause the data to be processed with unpickle. |
| CVE-2022-34668 | NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity. |
| CVE-2022-31604 | NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity. |
| CVE-2021-44255 | Authenticated remote code execution in MotionEye <= 0.42.1 and MotioneEyeOS <= 20200606 allows a remote attacker to upload a configuration backup file containing a malicious python pickle file which will execute arbitrary code on the server. |
| CVE-2021-33026 | ** DISPUTED ** The Flask-Caching extension through 1.10.1 for Flask relies on Pickle for serialization, which may lead to remote code execution or local privilege escalation. If an attacker gains access to cache storage (e.g., filesystem, Memcached, Redis, etc.), they can construct a crafted payload, poison the cache, and execute Python code. NOTE: a third party indicates that exploitation is extremely unlikely unless the machine is already compromised; in other cases, the attacker would be unable to write their payload to the cache and generate the required collision. |
| CVE-2020-28975 | ** DISPUTED ** svm_predict_values 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 _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute. |
| CVE-2020-22083 | ** DISPUTED ** 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 with un-trusted data. |
| CVE-2020-13091 | ** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner. |
| CVE-2019-6446 | ** DISPUTED ** 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 have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources. |
| CVE-2019-12760 | ** DISPUTED ** A deserialization vulnerability exists in the way parso through 0.4.0 handles grammar parsing from the cache. Cache loading relies on pickle and, provided that an evil pickle can be written to a cache grammar file and that its parsing can be triggered, this flaw leads to Arbitrary Code Execution. NOTE: This is disputed because "the cache directory is not under control of the attacker in any common configuration." |
| CVE-2018-8021 | Versions of Superset prior to 0.23 used an unsafe load method from the pickle library to deserialize data leading to possible remote code execution. Note Superset 0.23 was released prior to any Superset release under the Apache Software Foundation. |
| CVE-2018-7889 | gui2/viewer/bookmarkmanager.py in Calibre 3.18 calls cPickle.load on imported bookmark data, which allows remote attackers to execute arbitrary code via a crafted .pickle file, as demonstrated by Python code that contains an os.system call. |
| CVE-2018-20406 | Modules/_pickle.c in Python before 3.7.1 has an integer overflow via a large LONG_BINPUT value that is mishandled during a "resize to twice the size" attempt. This issue might cause memory exhaustion, but is only relevant if the pickle format is used for serializing tens or hundreds of gigabytes of data. This issue is fixed in: v3.4.10, v3.4.10rc1; v3.5.10, v3.5.10rc1, v3.5.7, v3.5.7rc1, v3.5.8, v3.5.8rc1, v3.5.8rc2, v3.5.9; v3.6.10, v3.6.10rc1, v3.6.11, v3.6.11rc1, v3.6.12, v3.6.7, v3.6.7rc1, v3.6.7rc2, v3.6.8, v3.6.8rc1, v3.6.9, v3.6.9rc1; v3.7.1, v3.7.1rc1, v3.7.1rc2, v3.7.2, v3.7.2rc1, v3.7.3, v3.7.3rc1, v3.7.4, v3.7.4rc1, v3.7.4rc2, v3.7.5, v3.7.5rc1, v3.7.6, v3.7.6rc1, v3.7.7, v3.7.7rc1, v3.7.8, v3.7.8rc1, v3.7.9. |
| CVE-2018-14572 | In conference-scheduler-cli, a pickle.load call on imported data allows remote attackers to execute arbitrary code via a crafted .pickle file, as demonstrated by Python code that contains an os.system call. |
| CVE-2015-5242 | OpenStack Swift-on-File (aka Swiftonfile) does not properly restrict use of the pickle Python module when loading metadata, which allows remote authenticated users to execute arbitrary code via a crafted extended attribute (xattrs). |
| CVE-2015-5164 | The Qpid server on Red Hat Satellite 6 does not properly restrict message types, which allows remote authenticated users with administrative access on a managed content host to execute arbitrary code via a crafted message, related to a pickle processing problem in pulp. |
| CVE-2015-0693 | Cisco Web Security Appliance (WSA) devices with software 8.5.0-ise-147 do not properly restrict use of the pickle Python module during certain tunnel-status checks, which allows local users to execute arbitrary Python code and gain privileges via a crafted pickle file, aka Bug ID CSCut39259. |
| CVE-2015-0692 | Cisco Web Security Appliance (WSA) devices with software 8.5.0-ise-147 do not properly restrict use of the pickle Python module during certain tunnel-status checks, which allows local users to execute arbitrary Python code and gain privileges via crafted serialized objects, aka Bug ID CSCut39230. |
| CVE-2014-8165 | scripts/amsvis/powerpcAMS/amsnet.py in powerpc-utils-python uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object. |
| CVE-2014-5340 | The wato component in Check_MK before 1.2.4p4 and 1.2.5 before 1.2.5i4 uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, related to an automation URL. |
| CVE-2014-0485 | S3QL 1.18.1 and earlier uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object in (1) common.py or (2) local.py in backends/. |
| CVE-2013-5942 | Graphite 0.9.5 through 0.9.10 uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, related to (1) remote_storage.py, (2) storage.py, (3) render/datalib.py, and (4) whitelist/views.py, a different vulnerability than CVE-2013-5093. |
| CVE-2013-5093 | The renderLocalView function in render/views.py in graphite-web in Graphite 0.9.5 through 0.9.10 uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object. |
| CVE-2012-4406 | OpenStack Object Storage (swift) before 1.7.0 uses the loads function in the pickle Python module unsafely when storing and loading metadata in memcached, which allows remote attackers to execute arbitrary code via a crafted pickle object. |
| CVE-2011-4356 | Celery 2.1 and 2.2 before 2.2.8, 2.3 before 2.3.4, and 2.4 before 2.4.4 changes the effective id but not the real id during processing of the --uid and --gid arguments to celerybeat, celeryd_detach, celeryd-multi, and celeryev, which allows local users to gain privileges via vectors involving crafted code that is executed by the worker process. |
| CVE-2011-2520 | fw_dbus.py in system-config-firewall 1.2.29 and earlier uses the pickle Python module unsafely during D-Bus communication between the GUI and the backend, which might allow local users to gain privileges via a crafted serialized object. |
| CVE-2011-1113 | Google Chrome before 9.0.597.107 on 64-bit Linux platforms does not properly perform pickle deserialization, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors. |
| CVE-2010-4574 | The Pickle::Pickle function in base/pickle.cc in Google Chrome before 8.0.552.224 and Chrome OS before 8.0.552.343 on 64-bit Linux platforms does not properly perform pointer arithmetic, which allows remote attackers to bypass message deserialization validation, and cause a denial of service or possibly have unspecified other impact, via invalid pickle data. |
| CVE-2007-1100 | Directory traversal vulnerability in download.php in Ahmet Sacan Pickle before 20070301 allows remote attackers to read arbitrary files via a .. (dot dot) in the file parameter. |
| CVE-2005-2875 | Py2Play allows remote attackers to execute arbitrary Python code via pickled objects, which Py2Play unpickles and executes. |
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