WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.0, a vulnerability involving tool name collision and indirect prompt injection allows a malicious remote MCP server to hijack tool execution. By exploiting an ambiguous naming convention in the MCP client (mcp_{service}_{tool}), an attacker can register a malicious tool that overwrites a legitimate one (e.g., tavily_extract). This enables the attacker to redirect LLM execution flow, exfiltrate system prompts, context, and potentially execute other tools with the user's privileges. This issue has been patched in version 0.3.0.
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.2, an authorization bypass in tenant management endpoints of WeKnora application allows any authenticated user to read, modify, or delete any tenant by ID. Since account registration is open to the public, this vulnerability allows any unauthenticated attacker to register an account and subsequently exploit the system. This enables cross-tenant account takeover and destruction, making the impact critical. This issue has been patched in version 0.3.2.
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.12, the application's "Import document via URL" feature is vulnerable to Server-Side Request Forgery (SSRF) through HTTP redirects. While the backend implements comprehensive URL validation (blocking private IPs, loopback addresses, reserved hostnames, and cloud metadata endpoints), it fails to validate redirect targets. An attacker can bypass all protections by using a redirect chain, forcing the server to access internal services. Additionally, Docker-specific internal addresses like host.docker.internal are not blocked. This issue has been patched in version 0.2.12.
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, there is a command injection vulnerability that allows authenticated users to inject stdio_config.command/args into MCP stdio settings, causing the server to execute subprocesses using these injected values. This issue has been patched in version 0.2.5.
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, after WeKnora enables the Agent service, it allows users to call the database query tool. Due to insufficient backend validation, an attacker can use prompt‑based bypass techniques to evade query restrictions and obtain sensitive information from the target server and database. This issue has been patched in version 0.2.5.
CVE-2025-13715 is a high-severity remote code execution vulnerability in Tencent FaceDetection-DSFD's resnet endpoint caused by deserialization of untrusted data. Exploitation requires user interaction, such as visiting a malicious page or opening a malicious file. The flaw allows attackers to execute arbitrary code with root privileges due to improper validation of user-supplied data. Although no known exploits are currently in the wild, the vulnerability poses significant risks to affected systems. The CVSS score of 7.8 reflects high impact on confidentiality, integrity, and availability, with low attack complexity but requiring user interaction. European organizations using Tencent FaceDetection-DSFD should prioritize patching and implement strict input validation and network segmentation to mitigate risks. Countries with significant technology sectors and Tencent product usage, such as Germany, France, and the UK, are likely to be most affected. Immediate attention is warranted to prevent potential exploitation in sensitive environments.
CVE-2025-13709 is a high-severity remote code execution vulnerability in Tencent TFace's restore_checkpoint function caused by deserialization of untrusted data. Exploitation requires user interaction, such as visiting a malicious webpage or opening a crafted file. The flaw allows attackers to execute arbitrary code with root privileges due to improper validation of user-supplied data. Although no known exploits are currently in the wild, the vulnerability poses a significant risk to affected systems. The CVSS score is 7.8, reflecting high impact on confidentiality, integrity, and availability. European organizations using Tencent TFace, especially in sectors relying on AI and facial recognition technologies, should prioritize patching and implement strict input validation and network segmentation. Countries with strong technology sectors and high adoption of Tencent products, such as Germany, France, and the UK, are most likely to be affected. Immediate mitigation and monitoring are recommended to prevent potential exploitation.
Tencent TFace eval Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. 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 eval 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-27187.
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 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 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.
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 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 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 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.
A security flaw has been discovered in Tencent WeKnora 0.1.0. This impacts the function testEmbeddingModel of the file /api/v1/initialization/embedding/test. The manipulation of the argument baseUrl results in server-side request forgery. The attack can be launched remotely. The exploit has been released to the public and may be exploited. It is advisable to upgrade the affected component. The vendor responds: "We have confirmed that the issue mentioned in the report does not exist in the latest releases".
