| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Use after free in Microsoft Office Word allows an unauthorized attacker to execute code locally. |
| Exposure of sensitive information to an unauthorized actor in Power Automate allows an authorized attacker to disclose information over a network. |
| In the Linux kernel, the following vulnerability has been resolved:
io_uring/rsrc: reject zero-length fixed buffer import
validate_fixed_range() admits buf_addr at the exact end of the
registered region when len is zero, because the check uses strict
greater-than (buf_end > imu->ubuf + imu->len). io_import_fixed()
then computes offset == imu->len, which causes the bvec skip logic
to advance past the last bio_vec entry and read bv_offset from
out-of-bounds slab memory.
Return early from io_import_fixed() when len is zero. A zero-length
import has no data to transfer and should not walk the bvec array
at all.
BUG: KASAN: slab-out-of-bounds in io_import_reg_buf+0x697/0x7f0
Read of size 4 at addr ffff888002bcc254 by task poc/103
Call Trace:
io_import_reg_buf+0x697/0x7f0
io_write_fixed+0xd9/0x250
__io_issue_sqe+0xad/0x710
io_issue_sqe+0x7d/0x1100
io_submit_sqes+0x86a/0x23c0
__do_sys_io_uring_enter+0xa98/0x1590
Allocated by task 103:
The buggy address is located 12 bytes to the right of
allocated 584-byte region [ffff888002bcc000, ffff888002bcc248) |
| Horovod thru 0.28.1 contains an insecure deserialization vulnerability (CWE-502) in its KVStore HTTP server component. The KVStore server, used for distributed task coordination, lacks authentication and authorization controls, allowing any remote attacker to write arbitrary data via HTTP PUT requests. When a Horovod worker reads data from the KVStore (via HTTP GET), it deserializes the data using cloudpickle.loads() without verifying its source or integrity. An attacker can exploit this by sending a malicious pickle payload to the server before the legitimate data is written, causing the victim worker to deserialize and execute arbitrary code, leading to remote code execution. |
| In the Linux kernel, the following vulnerability has been resolved:
hwmon: (tps53679) Fix array access with zero-length block read
i2c_smbus_read_block_data() can return 0, indicating a zero-length
read. When this happens, tps53679_identify_chip() accesses buf[ret - 1]
which is buf[-1], reading one byte before the buffer on the stack.
Fix by changing the check from "ret < 0" to "ret <= 0", treating a
zero-length read as an error (-EIO), which prevents the out-of-bounds
array access.
Also fix a typo in the adjacent comment: "if present" instead of
duplicate "if". |
| Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs.
Spring AI 1.0.x: affected from 1.0.0 through latest 1.0.x; upgrade to 1.0.7 or greater. Spring AI 1.1.x: affected from 1.1.0 through latest 1.1.x; upgrade to 1.1.6 or greater. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| The mem0 1.0.0 server lacks authentication and authorization controls for its memory management API endpoints. Critical functions such as updating memory records (PUT /memories/{memory_id}) are exposed without any verification of the requester's identity or permissions. A remote attacker can exploit this by sending unauthenticated requests to modify, overwrite, or delete arbitrary memory records, leading to unauthorized data manipulation and potential data loss. |
| Illustrator versions 29.8.6, 30.3 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to disclose sensitive information. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
