| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability classified as problematic has been found in XU-YIJIE grpo-flat up to 9024b43f091e2eb9bac65802b120c0b35f9ba856. Affected is the function main of the file grpo_vanilla.py. The manipulation leads to deserialization. Local access is required to approach this attack. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. |
| Utilization of a module presented a security risk by allowing the deserialization of untrusted/user supplied data. This is resolved in the Puppet Agent 7.4.0 release. |
| A vulnerability was found in BeamCtrl Airiana up to 11.0. It has been declared as problematic. This vulnerability affects unknown code of the file coef. The manipulation leads to deserialization. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used. |
| A weakness has been identified in Dromara Sa-Token up to 1.44.0. This affects the function ObjectInputStream.readObject of the file SaJdkSerializer.java. Executing manipulation can lead to deserialization. The attack may be launched remotely. This attack is characterized by high complexity. It is indicated that the exploitability is difficult. The vendor was contacted early about this disclosure but did not respond in any way. |
| The plugin is vulnerable to PHP Object Injection in versions up to and including, 2.6.3 via deserialization of untrusted input in the import function via the 'shortcode' parameter. This allows authenticated attackers, with administrator-level access to inject a PHP Object. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code. |
| The Keras.Model.load_model method, including when executed with the intended security mitigation safe_mode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery (SSRF).
This vulnerability stems from the way the StringLookup layer is handled during model loading from a specially crafted .keras archive. The constructor for the StringLookup layer accepts a vocabulary argument that can specify a local file path or a remote file path.
* Arbitrary Local File Read: An attacker can create a malicious .keras file that embeds a local path in the StringLookup layer's configuration. When the model is loaded, Keras will attempt to read the content of the specified local file and incorporate it into the model state (e.g., retrievable via get_vocabulary()), allowing an attacker to read arbitrary local files on the hosting system.
* Server-Side Request Forgery (SSRF): Keras utilizes tf.io.gfile for file operations. Since tf.io.gfile supports remote filesystem handlers (such as GCS and HDFS) and HTTP/HTTPS protocols, the same mechanism can be leveraged to fetch content from arbitrary network endpoints on the server's behalf, resulting in an SSRF condition.
The security issue is that the feature allowing external path loading was not properly restricted by the safe_mode=True flag, which was intended to prevent such unintended data access. |
| Kaleris NAVIS N4 ULC (Ultra Light Client) contains an unsafe Java deserialization vulnerability. An unauthenticated attacker can make specially crafted requests to execute arbitrary code on the server. |
| Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the parsing of pickle data. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28312. |
| 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. |
| A vulnerability was found in GuanxingLu vlarl up to 31abc0baf53ef8f5db666a1c882e1ea64def2997. This vulnerability affects the function experiments.robot.bridge.reasoning_server::run_reasoning_server of the file experiments/robot/bridge/reasoning_server.py of the component ZeroMQ. Performing manipulation of the argument Message results in deserialization. Remote exploitation of the attack is possible. The exploit has been made public and could be used. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. |
| A vulnerability has been found in giantspatula SewKinect up to 7fd963ceb3385af3706af02b8a128a13399dffb1. This affects the function pickle.loads of the file /calculate of the component Endpoint. Such manipulation of the argument body_parts/point_cloud leads to deserialization. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. |
| A security vulnerability has been detected in LazyAGI LazyLLM up to 0.6.1. Affected by this issue is the function lazyllm_call of the file lazyllm/components/deploy/relay/server.py. Such manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. |
| A vulnerability was determined in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected is the function log_handler of the file ml_logger/server.py of the component Ping Handler. This manipulation of the argument data causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. |
| A vulnerability was discovered in the Arctera InfoScale 7.0 through 8.0.2 where a .NET remoting endpoint can be exploited due to the insecure deserialization of potentially untrusted messages. The vulnerability is present in the Windows Plugin_Host service, which runs on all the servers where InfoScale is installed. The service is used only when applications are configured for Disaster Recovery (DR) using the DR wizard. Disabling the Plugin_Host service manually will eliminate the vulnerability. |
| A security vulnerability has been identified in the IBL Software Engineering Visual Weather and derived products (NAMIS, Aero Weather, Satellite Weather). The vulnerability is present in the Product Delivery Service (PDS) component in specific server configurations where the PDS pipeline utilizes the IPDS pipeline with Message Editor Output Filters enabled.
A remote unauthenticated
attacker can exploit this vulnerability to send unauthenticated requests to execute the IPDS pipeline with specially crafted Form Properties, enabling remote execution of arbitrary Python code. This vulnerability could lead to a full system compromise of the affected server, particularly if Visual Weather services are run under a privileged user account—contrary to the documented installation best practices.
Upgrade to the patched versions 7.3.10 (or higher), 8.6.0 (or higher). |
| This repository hosts source code implementing the Trusted Computing Group's (TCG) TPM2 Software Stack (TSS). The JSON Quote Info returned by Fapi_Quote has to be deserialized by Fapi_VerifyQuote to the TPM Structure `TPMS_ATTEST`. For the field `TPM2_GENERATED magic` of this structure any number can be used in the JSON structure. The verifier can receive a state which does not represent the actual, possibly malicious state of the device under test. The malicious device might get access to data it shouldn't, or can use services it shouldn't be able to. This
issue has been patched in version 4.1.0. |
| Deserialization of untrusted data can occur in the R statistical programming language, on any version starting at 1.4.0 up to and not including 4.4.0, enabling a maliciously crafted RDS (R Data Serialization) formatted file or R package to run arbitrary code on an end user’s system when interacted with. |
| Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded. |
| A vulnerability was determined in 1Panel-dev MaxKB up to 2.0.2/2.1.0. This issue affects some unknown processing of the file /admin/api/workspace/default/tool/debug. Executing manipulation of the argument code can lead to deserialization. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. Upgrading to version 2.1.1 is capable of addressing this issue. It is suggested to upgrade the affected component. |
| A vulnerability was found in AquilaCMS 1.412.13. It has been rated as critical. Affected by this issue is some unknown functionality of the file /api/v2/categories. The manipulation of the argument PostBody.populate leads to deserialization. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. |
