| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability was found in dayrui XunRuiCMS up to 4.6.4. It has been declared as critical. This vulnerability affects unknown code of the file /Control/Api/Api.php. The manipulation of the argument thumb leads to deserialization. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. |
| vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0. |
| SnakeYaml Deser Load Malicious xml rce vulnerability in Apache HertzBeat (incubating).
This vulnerability can only be exploited by authorized attackers.
This issue affects Apache HertzBeat (incubating): before 1.6.0.
Users are recommended to upgrade to version 1.6.0, which fixes the issue. |
| Due to an unsafe de-serialization method used by the Veeam Service Provider Console(VSPC) server in communication between the management agent and its components, under certain conditions, it is possible to perform Remote Code Execution (RCE) on the VSPC server machine. |
| 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. |
| BentoML is a Python library for building online serving systems optimized for AI apps and model inference. A Remote Code Execution (RCE) vulnerability caused by insecure deserialization has been identified in the latest version (v1.4.2) of BentoML. It allows any unauthenticated user to execute arbitrary code on the server. It exists an unsafe code segment in serde.py. This vulnerability is fixed in 1.4.3. |
| CWE-502 Deserialization of Untrusted Data at the rabbitmq-connector plugin module in Apache EventMesh (incubating) V1.7.0\V1.8.0 on windows\linux\mac os e.g. platforms allows attackers to send controlled message and
remote code execute via rabbitmq messages. Users can use the code under the master branch in project repo to fix this issue, we will release the new version as soon as possible. |
| Deserialization of Untrusted Data vulnerability in Apache HertzBeat.
This vulnerability can only be exploited by authorized attackers.
This issue affects Apache HertzBeat: before 1.6.1.
Users are recommended to upgrade to version 1.6.1, which fixes the issue. |
| VisiCut 2.1 allows code execution via Insecure XML Deserialization in the loadPlfFile method of VisicutModel.java. |
| Deserialization of Untrusted Data vulnerability in Apache InLong.
This issue affects Apache InLong: from 1.13.0 before 2.1.0,
this issue would allow an authenticated attacker to read arbitrary files by double writing the param.
Users are recommended to upgrade to version 2.1.0, which fixes the issue. |
| This CVE ID has been rejected or withdrawn by its CVE Numbering Authority. |
| SnakeYaml's Constructor() class does not restrict types which can be instantiated during deserialization. Deserializing yaml content provided by an attacker can lead to remote code execution. We recommend using SnakeYaml's SafeConsturctor when parsing untrusted content to restrict deserialization. We recommend upgrading to version 2.0 and beyond. |
| Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with.
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| Deserialization of Untrusted Data vulnerability in Thomas Belser Asgaros Forum.This issue affects Asgaros Forum: from n/a through 2.7.2.
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| Deserialization of Untrusted Data vulnerability in ProfilePress Membership Team Paid Membership Plugin, Ecommerce, User Registration Form, Login Form, User Profile & Restrict Content – ProfilePress.This issue affects Paid Membership Plugin, Ecommerce, User Registration Form, Login Form, User Profile & Restrict Content – ProfilePress: from n/a through 4.3.2.
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| Deserialization of Untrusted Data vulnerability in Tagbox Tagbox – UGC Galleries, Social Media Widgets, User Reviews & Analytics.This issue affects Tagbox – UGC Galleries, Social Media Widgets, User Reviews & Analytics: from n/a through 3.1.
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| Cross-Site Request Forgery (CSRF), Deserialization of Untrusted Data vulnerability in Repute Infosystems ARMember – Membership Plugin, Content Restriction, Member Levels, User Profile & User signup.This issue affects ARMember – Membership Plugin, Content Restriction, Member Levels, User Profile & User signup: n/a.
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| A deserialization vulnerability in the component \controller\Index.php of Thinkphp v6.1.3 to v8.0.4 allows attackers to execute arbitrary code. |
| LLama Factory enables fine-tuning of large language models. Prior to version 1.0.0, a critical vulnerability exists in the `llamafy_baichuan2.py` script of the LLaMA-Factory project. The script performs insecure deserialization using `torch.load()` on user-supplied `.bin` files from an input directory. An attacker can exploit this behavior by crafting a malicious `.bin` file that executes arbitrary commands during deserialization. This issue has been patched in version 1.0.0. |
| A vulnerability was found in iop-apl-uw basestation3 up to 3.0.4 and classified as problematic. This issue affects the function load_qc_pickl of the file basestation3/QC.py. The manipulation of the argument qc_file leads to deserialization. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The code maintainer tagged the issue as closed. But there is no new commit nor release in the GitHub repository available so far. |
