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Search Results
There are 58 CVE Records that match your search.
| Name | Description |
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| CVE-2025-6279 | A vulnerability, which was classified as critical, has been found in Upsonic up to 0.55.6. This issue affects the function cloudpickle.loads of the file /tools/add_tool of the component Pickle Handler. The manipulation leads to deserialization. The exploit has been disclosed to the public and may be used. |
| CVE-2025-5148 | A vulnerability was found in FunAudioLLM InspireMusic up to bf32364bcb0d136497ca69f9db622e9216b029dd. It has been classified as critical. Affected is the function load_state_dict of the file inspiremusic/cli/model.py of the component Pickle Data Handler. The manipulation leads to deserialization. An attack has to be approached locally. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The name of the patch is 784cbf8dde2cf1456ff808aeba23177e1810e7a9. It is recommended to apply a patch to fix this issue. |
| CVE-2025-32444 | vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.6.5 and prior to 0.8.5, having vLLM integration with mooncake, are vulnerable to remote code execution due to using pickle based serialization over unsecured ZeroMQ sockets. The vulnerable sockets were set to listen on all network interfaces, increasing the likelihood that an attacker is able to reach the vulnerable ZeroMQ sockets to carry out an attack. vLLM instances that do not make use of the mooncake integration are not vulnerable. This issue has been patched in version 0.8.5. |
| CVE-2025-3108 | A critical deserialization vulnerability exists in the run-llama/llama_index library's JsonPickleSerializer component, affecting versions v0.12.27 through v0.12.40. This vulnerability allows remote code execution due to an insecure fallback to Python's pickle module. JsonPickleSerializer prioritizes deserialization using pickle.loads(), which can execute arbitrary code when processing untrusted data. Attackers can exploit this by crafting malicious payloads to achieve full system compromise. The root cause includes an insecure fallback mechanism, lack of validation or safeguards, misleading design, and violation of Python security guidelines. |
| CVE-2025-30165 | vLLM is an inference and serving engine for large language models. In a multi-node vLLM deployment using the V0 engine, vLLM uses ZeroMQ for some multi-node communication purposes. The secondary vLLM hosts open a `SUB` ZeroMQ socket and connect to an `XPUB` socket on the primary vLLM host. When data is received on this `SUB` socket, it is deserialized with `pickle`. This is unsafe, as it can be abused to execute code on a remote machine. Since the vulnerability exists in a client that connects to the primary vLLM host, this vulnerability serves as an escalation point. If the primary vLLM host is compromised, this vulnerability could be used to compromise the rest of the hosts in the vLLM deployment. Attackers could also use other means to exploit the vulnerability without requiring access to the primary vLLM host. One example would be the use of ARP cache poisoning to redirect traffic to a malicious endpoint used to deliver a payload with arbitrary code to execute on the target machine. Note that this issue only affects the V0 engine, which has been off by default since v0.8.0. Further, the issue only applies to a deployment using tensor parallelism across multiple hosts, which we do not expect to be a common deployment pattern. Since V0 is has been off by default since v0.8.0 and the fix is fairly invasive, the maintainers of vLLM have decided not to fix this issue. Instead, the maintainers recommend that users ensure their environment is on a secure network in case this pattern is in use. The V1 engine is not affected by this issue. |
| CVE-2025-24794 | The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Snowflake discovered and remediated a vulnerability in the Snowflake Connector for Python. The OCSP response cache uses pickle as the serialization format, potentially leading to local privilege escalation. This vulnerability affects versions 2.7.12 through 3.13.0. Snowflake fixed the issue in version 3.13.1. |
| CVE-2025-24357 | vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0. |
| CVE-2025-23045 | Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. An attacker with an account on an affected CVAT instance is able to run arbitrary code in the context of the Nuclio function container. This vulnerability affects CVAT deployments that run any of the serverless functions of type tracker from the CVAT Git repository, namely TransT and SiamMask. Deployments with custom functions of type tracker may also be affected, depending on how they handle state serialization. If a function uses an unsafe serialization library such as pickle or jsonpickle, it's likely to be vulnerable. Upgrade to CVAT 2.26.0 or later. If you are unable to upgrade, shut down any instances of the TransT or SiamMask functions you're running. |
| CVE-2025-1945 | picklescan before 0.0.23 fails to detect malicious pickle files inside PyTorch model archives when certain ZIP file flag bits are modified. By flipping specific bits in the ZIP file headers, an attacker can embed malicious pickle files that remain undetected by PickleScan while still being successfully loaded by PyTorch's torch.load(). This can lead to arbitrary code execution when loading a compromised model. |
| CVE-2025-1889 | picklescan before 0.0.22 only considers standard pickle file extensions in the scope for its vulnerability scan. An attacker could craft a malicious model that uses Pickle and include a malicious pickle file with a non-standard file extension. Because the malicious pickle file inclusion is not considered as part of the scope of picklescan, the file would pass security checks and appear to be safe, when it could instead prove to be problematic. |
| CVE-2025-1716 | picklescan before 0.0.21 does not treat 'pip' as an unsafe global. An attacker could craft a malicious model that uses Pickle to pull in a malicious PyPI package (hosted, for example, on pypi.org or GitHub) via `pip.main()`. Because pip is not a restricted global, the model, when scanned with picklescan, would pass security checks and appear to be safe, when it could instead prove to be problematic. |
| CVE-2024-9953 | A potential denial-of-service (DoS) vulnerability exists in CERT VINCE software versions prior to 3.0.8. An authenticated administrative user can inject an arbitrary pickle object into a user’s profile, which may lead to a DoS condition when the profile is accessed. While the Django server restricts unpickling to prevent server crashes, this vulnerability could still disrupt operations. |
| CVE-2024-9701 | A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized. |
| CVE-2024-9053 | vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data. |
| CVE-2024-5998 | A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product. |
| CVE-2024-50050 | Llama Stack prior to revision 7a8aa775e5a267cf8660d83140011a0b7f91e005 used pickle as a serialization format for socket communication, potentially allowing for remote code execution. Socket communication has been changed to use JSON instead. |
| CVE-2024-35059 | An issue in the Pickle Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands. |
| CVE-2024-34997 | ** DISPUTED ** joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array(). NOTE: this is disputed by the supplier because NumpyArrayWrapper is only used during caching of trusted content. |
| 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-2024-12433 | A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. The RPC server in RagFlow uses a hard-coded AuthKey 'authkey=b'infiniflow-token4kevinhu'' which can be easily fetched by attackers to join the group communication without restrictions. Additionally, the server processes incoming data using pickle deserialization via `pickle.loads()` on `connection.recv()`, making it vulnerable to remote code execution. This issue is fixed in version 0.14.0. |
| CVE-2024-11039 | A pickle deserialization vulnerability exists in the Latex English error correction plug-in function of binary-husky/gpt_academic versions up to and including 3.83. This vulnerability allows attackers to achieve remote command execution by deserializing untrusted data. The issue arises from the inclusion of numpy in the deserialization whitelist, which can be exploited by constructing a malicious compressed package containing a merge_result.pkl file and a merge_proofread_en.tex file. The vulnerability is fixed in commit 91f5e6b. |
| CVE-2024-10190 | Horovod versions up to and including v0.28.1 are vulnerable to unauthenticated remote code execution. The vulnerability is due to improper handling of base64-encoded data in the `ElasticRendezvousHandler`, a subclass of `KVStoreHandler`. Specifically, the `_put_value` method in `ElasticRendezvousHandler` calls `codec.loads_base64(value)`, which eventually invokes `cloudpickle.loads(decoded)`. This allows an attacker to send a malicious pickle object via a PUT request, leading to arbitrary code execution on the server. |
| 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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