| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A race condition was addressed with additional validation. This issue is fixed in macOS Tahoe 26.4. An app may be able to access sensitive user data. |
| The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading process. When loading model files (.pt) from a user-specified directory (via the --model_dir argument), the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by providing a maliciously crafted model directory containing .pt files with embedded pickle payloads. When a victim loads this directory using CosyVoice's web interface, the malicious payload is executed, leading to remote code execution on the victim's system. |
| Guardrails AI thru 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages via guardrails hub install, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field. The script path is constructed from untrusted manifest data and executed without proper validation or sanitization, allowing remote code execution. An attacker who can publish malicious packages to the Hub can inject arbitrary code that will be executed on any system where a victim installs the malicious package. |
| The llm CLI tool thru 0.27.1 contains a critical code injection vulnerability via its --functions command-line argument. This argument is intended to allow users to provide custom Python function definitions. However, the tool directly executes the provided code using the unsafe exec() function without any sanitization, sandboxing, or security restrictions. An attacker can exploit this by crafting a malicious llm command with arbitrary Python code in the --functions argument and using social engineering to trick a victim into running it. This leads to arbitrary code execution on the victim's system, potentially granting the attacker full control. |
| The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction. |
| The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to arbitrary code execution on the system hosting the Ludwig model server. |
| The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process. |
| Improper input validation for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (low), integrity (low) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts. |
| Untrusted pointer dereference for some Intel(R) QuickAssist Adapter 8960 software before version 1.13 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts. |
| Divide by zero for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow a denial of service. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable denial of service. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (none), integrity (none) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts. |
| A use of potentially dangerous function vulnerability in Fortinet FortiAnalyzer 7.6.0 through 7.6.4, FortiAnalyzer 7.4.0 through 7.4.8, FortiAnalyzer 7.2 all versions, FortiAnalyzer 7.0 all versions, FortiAnalyzer 6.4 all versions, FortiManager 7.6.0 through 7.6.4, FortiManager 7.4.0 through 7.4.8, FortiManager 7.2 all versions, FortiManager 7.0 all versions, FortiManager 6.4 all versions may allow an authenticated attacker to cause a system hang via multiple specially crafted HTTP requests causing crashes. This happens if internal locks are aligned, which is out of control of the attacker. |
| An improper neutralization of special elements used in an OS command ("OS Command Injection") vulnerability [CWE-78] vulnerability in Fortinet FortiAP 7.6.0 through 7.6.2, FortiAP 7.4.0 through 7.4.5, FortiAP 7.2 all versions, FortiAP 7.0 all versions, FortiAP 6.4 all versions, FortiAP-U 7.0.0 through 7.0.5, FortiAP-U 6.2 all versions, FortiAP-W2 7.4.0 through 7.4.4, FortiAP-W2 7.2 all versions, FortiAP-W2 7.0 all versions allows an authenticated privileged attacker to execute unauthorized code or commands via crafted CLI requests. |
| Incorrect boundary conditions in the JavaScript Engine: JIT component. This vulnerability was fixed in Firefox 150.0.3. |
| An information leakage was addressed with additional validation. This issue is fixed in macOS Tahoe 26.5. An app may be able to gain root privileges. |
| A resource exhaustion issue was addressed with improved input validation. This issue is fixed in iOS 18.7.9 and iPadOS 18.7.9, iOS 26.4 and iPadOS 26.4. A remote attacker may be able to cause a denial-of-service. |
| LWP::UserAgent versions before 6.83 for Perl leak Authorization and Proxy-Authorization headers on cross-origin redirects.
On a 3xx response, the redirect handler strips only Host and Cookie before issuing the follow-up request. Caller-supplied Authorization and Proxy-Authorization headers are sent unchanged to the redirect target, including across scheme, host, or port changes.
A redirect to an attacker controlled host therefore discloses the caller's credentials to that host. |
| An out-of-bounds write issue was addressed with improved input validation. This issue is fixed in iOS 18.7.9 and iPadOS 18.7.9, iOS 26.5 and iPadOS 26.5, macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.5. Parsing a maliciously crafted file may lead to an unexpected app termination. |
| An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in iOS 26.5 and iPadOS 26.5, macOS Tahoe 26.5, tvOS 26.5, watchOS 26.5. An app may be able to cause unexpected system termination or read kernel memory. |
| Improper Authorization vulnerability when multiple method constraints define an HTTP method for the same extension in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109.
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. |
| Observable Timing Discrepancy vulnerability when comparing AJP secret in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109.
Older unsupported versions may also be affected.
Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue. |
