| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users. |
| A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns. |
| IBM watsonx.data intelligence 5.2.0, 5.2.1, 5.3.0, 5.3.1 stores user credentials in plain text which can be read by a local user. |
| A vulnerability in the command line interface of Access Points running AOS-10 could allow an authenticated remote attacker to perform command injection. Successful exploitation could allow an attacker to execute arbitrary commands on the underlying operating system.
NOTE: This vulnerability only impacts Access Points running AOS-10.7.x.x and above. AOS-10.4 AP and AOS-8 Instant software branches are not affected by this vulnerability. |
| IBM watsonx.data 2.2 through 2.3 IBM Lakehouse does not properly restrict communication between pods which could allow an attacker to transfer data between pods without restrictions. |
| A tampering vulnerability exists when .NET Core improperly handles specially crafted files. An attacker who successfully exploited this vulnerability could write arbitrary files and directories to certain locations on a vulnerable system. However, an attacker would have limited control over the destination of the files and directories.
To exploit the vulnerability, an attacker must send a specially crafted file to a vulnerable system.
The security update fixes the vulnerability by ensuring .NET Core properly handles files. |
| Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network. |
| An exposed dangerous method on the Core Server of Ivanti Endpoint Manager before version 2024 SU6 allows a remote authenticated attacker to leak access credentials. |
| A command injection vulnerability exists in the web-based management interface of AOS-8 and AOS-10 Operating Systems. Successful exploitation could allow an authenticated remote attacker to place arbitrary files on the underlying filesystem of the affected device. |
| Incorrect permissions assignment in the agent of Ivanti Endpoint Manager before version 2024 SU6 allows a local authenticated attacker to escalate their privileges. |
| SQL injection in the web console of Ivanti Endpoint Manager before version 2024 SU6 allows a remote authenticated attacker to achieve remote code execution. |
| Use after free in Windows Cloud Files Mini Filter Driver allows an authorized attacker to elevate privileges locally. |
| YAML::Syck versions before 1.38 for Perl has an out-of-bounds read.
The base60 (sexagesimal) parsing code in perl_syck.h has a buffer underflow bug in both int#base60 and float#base60 handlers. When processing the leftmost segment of a colon-separated value (e.g., the 1 in 1:30:45), the inner while loop can decrement a pointer past the start of the string buffer:
while ( colon >= ptr && *colon != ':' )
{
colon--;
}
if ( *colon == ':' ) *colon = '\0'; // colon may be ptr-1 here
When no colon is found (final/leftmost segment), colon becomes ptr-1, and the subsequent *colon dereference reads one byte before the allocated buffer. |
| An insecure direct object reference in MK-Auth 23.01K4.9 allows attackers to access and send support calls for other users via manipulation of the chamado parameter through a crafted GET request. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system. |
| The superduper project thru v0.10.0 contains a critical remote code execution vulnerability in its query parsing component. The _parse_op_part() function in query.py uses the unsafe eval() function to dynamically evaluate user-supplied query operands without proper sanitization or restriction. Although the function attempts to limit the execution context by providing a restricted global namespace, it does not block access to dangerous built-in functions. A remote attacker can exploit this by submitting a specially crafted query string containing Python code that imports modules (e.g., os) and executes arbitrary system commands, leading to complete compromise of the server. |
| Cognee thru v0.4.0 contains a critical remote code execution vulnerability in its notebook cell execution API endpoint. The endpoint is designed to execute arbitrary Python code provided by the user, but it does so using the unsafe exec() function without any sandboxing, validation, or security controls. An attacker can exploit this by sending a specially crafted POST request containing malicious Python code to the execution endpoint. This leads to arbitrary code execution on the Cognee server with the privileges of the server process, allowing complete compromise of the system. |
| Insufficient granularity of access control in Microsoft Office SharePoint allows an authorized attacker to execute code over a network. |
| Insufficient granularity of access control in Microsoft Office Click-To-Run allows an authorized attacker to elevate privileges locally. |
| PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded. |
