| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| NVIDIA Installer for Windows contains a vulnerability where an attacker may be able to escalate privileges. A successful exploit of this vulnerability may lead to escalation of privileges, denial of service, code execution, information disclosure and data tampering. |
| A flaw exists in FlashArray whereby the Key Encryption Key (KEK) is logged during key rotation when RDL is configured. |
| NVIDIA Container Toolkit for all platforms contains a vulnerability in the update-ldcache hook, where an attacker could cause a link following by using a specially crafted container image. A successful exploit of this vulnerability might lead to data tampering and denial of service. |
| NVIDIA Cumulus Linux and NVOS products contain a vulnerability, where hashed user passwords are not properly suppressed in log files, potentially disclosing information to unauthorized users. |
| 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. |
| NVIDIA NvContainer service for Windows contains a vulnerability in its usage of OpenSSL, where an attacker could exploit a hard-coded constant issue by copying a malicious DLL in a hard-coded path. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, or data tampering. |
| PMD is an extensible multilanguage static code analyzer. The passphrase for the PMD and PMD Designer release signing keys are included in jar published to Maven Central. The private key itself is not known to have been compromised itself, but given its passphrase is, it must also be considered potentially compromised. As a mitigation, both compromised keys have been revoked so that no future use of the keys are possible. Note, that the published artifacts in Maven Central under the group id net.sourceforge.pmd are not compromised and the signatures are valid. |
| A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3. |
| GitHub Desktop is an open-source Electron-based GitHub app designed for git development. An attacker convincing a user to clone a repository directly or through a submodule can allow the attacker access to the user's credentials through the use of maliciously crafted remote URL. GitHub Desktop relies on Git to perform all network related operations (such as cloning, fetching, and pushing). When a user attempts to clone a repository GitHub Desktop will invoke `git clone` and when Git encounters a remote which requires authentication it will request the credentials for that remote host from GitHub Desktop using the git-credential protocol. Using a maliciously crafted URL it's possible to cause the credential request coming from Git to be misinterpreted by Github Desktop such that it will send credentials for a different host than the host that Git is currently communicating with thereby allowing for secret exfiltration. GitHub username and OAuth token, or credentials for other Git remote hosts stored in GitHub Desktop could be improperly transmitted to an unrelated host. Users should update to GitHub Desktop 3.4.12 or greater which fixes this vulnerability. Users who suspect they may be affected should revoke any relevant credentials. |
| Deserialization of Untrusted Data vulnerability in OpenText™ Directory Services allows Object Injection.
The vulnerability could lead to remote code execution, denial of service, or privilege escalation.
This issue affects Directory Services: before 24.4.16, from 25.1 before 25.1.9, from 25.2 before 25.2.9, from 25.3 before 25.3.8, from 25.4 before 25.4.5, from 26.1 before 26.1.2. |
| A remote code execution vulnerability exists in open-mmlab/mmdetection version v3.3.0. The vulnerability is due to the use of the `pickle.loads()` function in the `all_reduce_dict()` distributed training API without proper sanitization. This allows an attacker to execute arbitrary code by broadcasting a malicious payload to the distributed training network. |
| 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. |
| 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 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 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. |
| Exposure of Sensitive Information to an Unauthorized Actor, Missing Encryption of Sensitive Data, Files or Directories Accessible to External Parties vulnerability in Kings Information & Network Co. KESS Enterprise on Windows allows Privilege Escalation, Modify Existing Service, Modify Shared File.This issue affects KESS Enterprise: before *.25.9.19.exe |
| 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. |
| Hugging Face Accelerate Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Accelerate. 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 parsing of checkpoints. 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 current process. Was ZDI-CAN-27985. |
| Hugging Face Diffusers CogView4 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Diffusers. 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 parsing of checkpoints. 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 current process. Was ZDI-CAN-27424. |
| due to insufficient sanitazation in Vega’s `convert()` function when `safeMode` is enabled and the spec variable is an array. An attacker can craft a malicious Vega diagram specification that will allow them to send requests to any URL, including local file system paths, leading to exposure of sensitive information. |
