| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Deserialization of Untrusted Data vulnerability in WP Swings Coupon Referral Program allows Object Injection.This issue affects Coupon Referral Program: from n/a before 1.8.4. |
| Deserialization of Untrusted Data vulnerability in Kiboko Labs Namaste! LMS allows Object Injection.This issue affects Namaste! LMS: from n/a through 2.6.3. |
| A vulnerability was determined in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected is the function log_handler of the file ml_logger/server.py of the component Ping Handler. This manipulation of the argument data causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. |
| Anritsu ShockLine CHX File Parsing Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Anritsu ShockLine. 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 CHX files. 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-26882. |
| OpenCATS v0.9.6 was discovered to contain a remote code execution (RCE) vulnerability via the getDataGridPager's ajax functionality. |
| Snipe-IT before 8.1.18 allows unsafe deserialization. |
| Deserialization of Untrusted Data vulnerability in awesomesupport Awesome Support allows Object Injection. This issue affects Awesome Support: from n/a through 6.3.4. |
| Deserialization of Untrusted Data vulnerability in raoinfotech GSheets Connector allows Object Injection. This issue affects GSheets Connector: from n/a through 1.1.1. |
| Deserialization of Untrusted Data vulnerability in ConveyThis Language Translate Widget for WordPress – ConveyThis allows Object Injection. This issue affects Language Translate Widget for WordPress – ConveyThis: from n/a through 264. |
| Valor Apps Easy Folder Listing Pro has a deserialization vulnerability that allows an unauthenticated, remote attacker to execute arbitrary code with the privileges of the Joomla! application. Fixed in versions 3.8 and 4.5. |
| ClipBucket V5 provides open source video hosting with PHP. ClipBucket-v5 Version 2.0 to Version 5.5.1 Revision 199 are vulnerable to PHP Deserialization vulnerability. The vulnerability exists in upload/photo_upload.php within the decode_key function. User inputs were supplied to this function without sanitization via collection GET parameter and photoIDS POST parameter respectively. The decode_key function invokes PHP unserialize function as defined in upload/includes/classes/photos.class.php. As a result, it is possible for an adversary to inject maliciously crafted PHP serialized object and utilize gadget chains to cause unexpected behaviors of the application. This vulnerability is fixed in 5.5.1 Revision 200. |
| ClipBucket V5 provides open source video hosting with PHP. ClipBucket-v5 Version 5.5.1 Revision 199 and below is vulnerable to PHP Deserialization vulnerability. The vulnerability exists in upload/upload.php where the user supplied input via collection get parameter is directly provided to unserialize function. As a result, it is possible for an adversary to inject maliciously crafted PHP serialized object and utilize gadget chains to cause unexpected behaviors of the application. This vulnerability is fixed in 5.5.1 Revision 200. |
| ParcelMismatch vulnerability in attribute deserialization.
Impact: Successful exploitation of this vulnerability may cause playback control screen display exceptions. |
| Dataease is an open-source data visualization and analysis platform. In versions up to and including 2.10.12, the Impala data source is vulnerable to remote code execution due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can construct malicious JDBC connection strings that exploit JNDI injection and trigger RMI deserialization, ultimately enabling remote command execution. The vulnerability can be exploited by editing the data source and providing a crafted JDBC connection string that references a remote configuration file, leading to RMI-based deserialization attacks. This issue has been patched in version 2.10.13. It is recommended to upgrade to the latest version. No known workarounds exist for affected versions. |
| Dataease is an open source data analytics and visualization platform. In Dataease versions up to 2.10.12 the H2 data source implementation (H2.java) does not verify that a provided JDBC URL starts with jdbc:h2. This lack of validation allows a crafted JDBC configuration that substitutes the Amazon Redshift driver and leverages the socketFactory and socketFactoryArg parameters to invoke org.springframework.context.support.FileSystemXmlApplicationContext or ClassPathXmlApplicationContext with an attacker‑controlled remote XML resource, resulting in remote code execution. Versions up to and including 2.10.12 are affected. The issue is fixed in version 2.10.13. Updating to version 2.10.13 or later is the recommended remediation. No known workarounds exist. |
| A vulnerability classified as critical was found in horilla up to 1.2.1. This vulnerability affects the function request_new/get_employee_shift/create_reimbursement/key_result_current_value_update/create_meetings/create_skills. The manipulation leads to deserialization. The attack can be initiated remotely. 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. |
| MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, in `model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)` in monai/bundle/scripts.py , `weights_only=True` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints. This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from other platforms. Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution. As of time of publication, no known fixed versions are available. |
| MONAI (Medical Open Network for AI) is an AI toolkit for health care imaging. In versions up to and including 1.5.0, the `pickle_operations` function in `monai/data/utils.py` automatically handles dictionary key-value pairs ending with a specific suffix and deserializes them using `pickle.loads()` . This function also lacks any security measures. The deserialization may lead to code execution. As of time of publication, no known fixed versions are available. |
| In Jenkins Bitbucket Branch Source Plugin 866.vdea_7dcd3008e and earlier, except 848.850.v6a_a_2a_234a_c81, when discovering pull requests from forks, the trust policy "Forks in the same account" allows changes to Jenkinsfiles from users without write access to the project when using Bitbucket Server. |
| In the Linux kernel, the following vulnerability has been resolved:
proc/vmcore: fix clearing user buffer by properly using clear_user()
To clear a user buffer we cannot simply use memset, we have to use
clear_user(). With a virtio-mem device that registers a vmcore_cb and
has some logically unplugged memory inside an added Linux memory block,
I can easily trigger a BUG by copying the vmcore via "cp":
systemd[1]: Starting Kdump Vmcore Save Service...
kdump[420]: Kdump is using the default log level(3).
kdump[453]: saving to /sysroot/var/crash/127.0.0.1-2021-11-11-14:59:22/
kdump[458]: saving vmcore-dmesg.txt to /sysroot/var/crash/127.0.0.1-2021-11-11-14:59:22/
kdump[465]: saving vmcore-dmesg.txt complete
kdump[467]: saving vmcore
BUG: unable to handle page fault for address: 00007f2374e01000
#PF: supervisor write access in kernel mode
#PF: error_code(0x0003) - permissions violation
PGD 7a523067 P4D 7a523067 PUD 7a528067 PMD 7a525067 PTE 800000007048f867
Oops: 0003 [#1] PREEMPT SMP NOPTI
CPU: 0 PID: 468 Comm: cp Not tainted 5.15.0+ #6
Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS rel-1.14.0-27-g64f37cc530f1-prebuilt.qemu.org 04/01/2014
RIP: 0010:read_from_oldmem.part.0.cold+0x1d/0x86
Code: ff ff ff e8 05 ff fe ff e9 b9 e9 7f ff 48 89 de 48 c7 c7 38 3b 60 82 e8 f1 fe fe ff 83 fd 08 72 3c 49 8d 7d 08 4c 89 e9 89 e8 <49> c7 45 00 00 00 00 00 49 c7 44 05 f8 00 00 00 00 48 83 e7 f81
RSP: 0018:ffffc9000073be08 EFLAGS: 00010212
RAX: 0000000000001000 RBX: 00000000002fd000 RCX: 00007f2374e01000
RDX: 0000000000000001 RSI: 00000000ffffdfff RDI: 00007f2374e01008
RBP: 0000000000001000 R08: 0000000000000000 R09: ffffc9000073bc50
R10: ffffc9000073bc48 R11: ffffffff829461a8 R12: 000000000000f000
R13: 00007f2374e01000 R14: 0000000000000000 R15: ffff88807bd421e8
FS: 00007f2374e12140(0000) GS:ffff88807f000000(0000) knlGS:0000000000000000
CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033
CR2: 00007f2374e01000 CR3: 000000007a4aa000 CR4: 0000000000350eb0
Call Trace:
read_vmcore+0x236/0x2c0
proc_reg_read+0x55/0xa0
vfs_read+0x95/0x190
ksys_read+0x4f/0xc0
do_syscall_64+0x3b/0x90
entry_SYSCALL_64_after_hwframe+0x44/0xae
Some x86-64 CPUs have a CPU feature called "Supervisor Mode Access
Prevention (SMAP)", which is used to detect wrong access from the kernel
to user buffers like this: SMAP triggers a permissions violation on
wrong access. In the x86-64 variant of clear_user(), SMAP is properly
handled via clac()+stac().
To fix, properly use clear_user() when we're dealing with a user buffer. |
