| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability was found in LaChatterie Verger up to 1.2.10. This impacts the function redirectToAuthorization of the file /src/main/services/mcp/oauth/provider.ts. The manipulation of the argument URL results in deserialization. The attack can be executed remotely. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| 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. |
| A flaw was found in the Keycloak LDAP User Federation provider. This vulnerability allows an authenticated realm administrator to trigger deserialization of untrusted Java objects via a malicious LDAP server configuration. |
| Tencent PatrickStar merge_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent PatrickStar. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the merge_checkpoint endpoint. 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 root. Was ZDI-CAN-27182. |
| Tencent HunyuanDiT model_resume Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the model_resume function. 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 root. Was ZDI-CAN-27183. |
| Tencent NeuralNLP-NeuralClassifier _load_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent NeuralNLP-NeuralClassifier. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the _load_checkpoint function. 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 root. Was ZDI-CAN-27184. |
| Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the load_vae function.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 root. Was ZDI-CAN-27186. |
| Tencent HunyuanDiT merge Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the merge endpoint. 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 root. Was ZDI-CAN-27190. |
| Tencent Hunyuan3D-1 load_pretrained Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent Hunyuan3D-1. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the load_pretrained function. 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 root. Was ZDI-CAN-27191. |
| Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the generate_model function. 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 root. Was ZDI-CAN-27192. |
| Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the resnet endpoint. 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 root. Was ZDI-CAN-27197. |
| Tencent MimicMotion create_pipeline Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MimicMotion. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the create_pipeline function. 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 root. Was ZDI-CAN-27208. |
| A vulnerability has been found in Dromara Sa-Token up to 1.44.0. This issue affects the function ObjectInputStream.readObject of the file SaSerializerTemplateForJdkUseBase64.java. Such manipulation leads to deserialization. The attack can be executed remotely. This attack is characterized by high complexity. The exploitability is assessed as difficult. 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. |
| A vulnerability was determined in aizuda snail-job up to 1.7.0 on macOS. Affected by this vulnerability is the function FurySerializer.deserialize of the component API. This manipulation of the argument argsStr causes deserialization. Remote exploitation of the attack is possible. The exploit has been publicly disclosed and may be utilized. |
| A security vulnerability has been detected in milvus up to 2.6.7. This vulnerability affects the function expr.Exec of the file pkg/util/expr/expr.go of the component HTTP Endpoint. The manipulation of the argument code leads to deserialization. Remote exploitation of the attack is possible. The exploit has been disclosed publicly and may be used. A fix is planned for the next release 2.6.8. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering. |
| 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. |
| xrpl.js is a JavaScript/TypeScript API for interacting with the XRP Ledger in Node.js and the browser. Versions 4.2.1, 4.2.2, 4.2.3, and 4.2.4 of xrpl.js were compromised and contained malicious code designed to exfiltrate private keys. Version 2.14.2 is also malicious, though it is less likely to lead to exploitation as it is not compatible with other 2.x versions. Anyone who used one of these versions should stop immediately and rotate any private keys or secrets used with affected systems. Users of xrpl.js should pgrade to version 4.2.5 or 2.14.3 to receive a patch. To secure funds, think carefully about whether any keys may have been compromised by this supply chain attack, and mitigate by sending funds to secure wallets, and/or rotating keys. If any account's master key is potentially compromised, disable the key. |
| The IntelliSpace portal application utilizes .NET Remoting for its functionality. The vulnerability arises from the exploitation of port 755 through the deserialization vulnerability. After analyzing the configuration files, we observed that the server had set the TypeFilterLevel to Full which is dangerous as it can potentially lead to remote code execution using deserialization. This issue affects IntelliSpace Portal: 12 and prior. |
| Rox, the software running BeWelcome, contains a PHP object injection vulnerability resulting from deserialization of untrusted data. User-controlled input is passed to PHP's unserialize(): the POST parameter `formkit_memory_recovery` in \\RoxPostHandler::getCallbackAction and the 'memory cookie' read by \\RoxModelBase::getMemoryCookie (bwRemember). (1) If present, `formkit_memory_recovery` is processed and passed to unserialize(), and (2) restore-from-memory functionality calls unserialize() on the bwRemember cookie value. Gadget chains present in Rox and bundled libraries enable exploitation of object injection to write arbitrary files or achieve remote code execution. Successful exploitation can lead to full site compromise. This vulnerability was remediated with commit c60bf04 (2025-06-16). |
