Filtered by CWE-502
Total 1525 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2023-1399 1 Keysight 2 N6854a, N6854a Firmware 2024-08-02 7.8 High
N6854A Geolocation Server versions 2.4.2 are vulnerable to untrusted data deserialization, which may allow a malicious actor to escalate privileges in the affected device’s default configuration and achieve remote code execution.
CVE-2023-1133 1 Deltaww 1 Infrasuite Device Master 2024-08-02 9.8 Critical
Delta Electronics InfraSuite Device Master versions prior to 1.0.5 contain a vulnerability in which the Device-status service listens on port 10100/ UDP by default. The service accepts the unverified UDP packets and deserializes the content, which could allow an unauthenticated attacker to remotely execute arbitrary code.
CVE-2023-1139 1 Deltaww 1 Infrasuite Device Master 2024-08-02 8.8 High
Delta Electronics InfraSuite Device Master versions prior to 1.0.5 are affected by a deserialization vulnerability targeting the Device-gateway service, which could allow deserialization of requests prior to authentication, resulting in remote code execution.
CVE-2023-1145 1 Deltaww 1 Infrasuite Device Master 2024-08-02 7.8 High
Delta Electronics InfraSuite Device Master versions prior to 1.0.5 are affected by a deserialization vulnerability targeting the Device-DataCollect service, which could allow deserialization of requests prior to authentication, resulting in remote code execution.
CVE-2023-0960 1 Seacms 1 Seacms 2024-08-02 4.7 Medium
A vulnerability was found in SeaCMS 11.6 and classified as problematic. Affected by this issue is some unknown functionality of the file /data/config.ftp.php of the component Picture Management. The manipulation leads to deserialization. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. VDB-221630 is the identifier assigned to this vulnerability.
CVE-2023-0669 1 Fortra 1 Goanywhere Managed File Transfer 2024-08-02 7.2 High
Fortra (formerly, HelpSystems) GoAnywhere MFT suffers from a pre-authentication command injection vulnerability in the License Response Servlet due to deserializing an arbitrary attacker-controlled object. This issue was patched in version 7.1.2.
CVE-2024-40624 1 Torrentpier 1 Torrentpier 2024-08-02 9.8 Critical
TorrentPier is an open source BitTorrent Public/Private tracker engine, written in php. In `torrentpier/library/includes/functions.php`, `get_tracks()` uses the unsafe native PHP serialization format to deserialize user-controlled cookies. One can use phpggc and the chain Guzzle/FW1 to write PHP code to an arbitrary file, and execute commands on the system. For instance, the cookie bb_t will be deserialized when browsing to viewforum.php. This issue has been addressed in commit `ed37e6e52` which is expected to be included in release version 2.4.4. Users are advised to upgrade as soon as the new release is available. There are no known workarounds for this vulnerability.
CVE-2024-37502 2024-08-02 5.4 Medium
Deserialization of Untrusted Data vulnerability in wpweb WooCommerce Social Login.This issue affects WooCommerce Social Login: from n/a through 2.6.3.
CVE-2024-37062 2024-08-02 7.8 High
Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded.
CVE-2024-37057 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37053 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37058 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.5.0 or newer, enabling a maliciously uploaded Langchain AgentExecutor model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37055 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37060 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.
CVE-2024-37059 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37064 2024-08-02 7.8 High
Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded.
CVE-2024-37065 2024-08-02 7.8 High
Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded.
CVE-2024-37056 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37054 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.
CVE-2024-37052 2024-08-02 8.8 High
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.