CVE-2025-8875
N-able N-Central Insecure Deserialization Vulnerability
CVSS
7.8
Alta
EPSS
2.3%
p84
KEV
SIM
13 de ago. de 2025
Exploit Today
75
0-100
Publicado: 14 de ago. de 2025 · Última mod.: 24 de set. de 2026 · CWE-502
1.9%EPSS · 30 dias2.5%
2026-10-082026-11-05
Produto
N-able / N-Central
Vulnerabilidade
N-able N-Central Insecure Deserialization Vulnerability
Adicionado ao KEV
13 de ago. de 2025
Corrigir até
20 de ago. de 2025
Uso conhecido em ransomware
Não
Descrição resumida
N-able N-Central contains an insecure deserialization vulnerability that could lead to command execution.
Ação necessária
Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable.
Notas
https://status.n-able.com/2025/08/13/announcing-the-ga-of-n-central-2025-3-1/ ; https://nvd.nist.gov/vuln/detail/CVE-2025-8875
Deserialization of Untrusted Data vulnerability in N-able N-central allows Local Execution of Code.This issue affects N-central: before 2025.3.1.
CVECVSSEPSSKEVRExploitTítuloMod.
CVE-2026-1208597.8 ALT—
——0PyMoDAQ before 4.4.13, and pymodaq_data, pymodaq_gui, and pymodaq_utils before 5.1.15, 5.2.x before 5.2.14, and 5.3.x before 5.3.10, contain deserialization of untrusted data and eval injection vulnerabilities that allow attackers to execute arbitrary code by supplying crafted files that a user opens. Attackers can store pickled objects in HDF5 string nodes that StringARRAY.array_to_string() passes to pickle.loads() when the node is browsed or read, place Python expressions in HDF5 attributes that JsonConverter.json2object() evaluates, supply a .dock file that load_layout_state() unpickles from the Dashboard Load layout action, or embed Python expressions in XML settings files that elt_to_dict() and set_txt_from_elt() evaluate.9hCVE-2026-1204997.8 ALT—
——0h5io before 0.2.6 contains a code injection vulnerability in read_hdf5() that allows attackers to execute arbitrary code by supplying a crafted HDF5 file. Attackers can store Python code in a node titled timezone, which _triage_read() passes to eval() with builtins reachable, name an arbitrary module in class or custom-object nodes that _import_class() imports, or place pickled objects in pd_dataframe or pd_series nodes that pandas deserializes on read.8hCVE-2026-1027397.8 ALT—
——0ESPectre is a Wi-Fi motion sensing platform for ESP32. Prior to 3.0.0-rc1, Micro-ESPectre analysis tools, including tools/6_optimize_filter_params.py, tools/1_analyze_raw_data.py, and tools/10_train_ml_model.py, load NPZ datasets with NumPy pickle support enabled through micro-espectre/tools/csi_utils.py and a direct loader. A malicious dataset contributor or pull-request author can place an object-typed array in a .npz file under micro-espectre/data, causing pickle-controlled code to execute as the maintainer or developer when a documented analysis tool accesses the field. This issue is fixed in version 3.0.0-rc1.10hCVE-2026-921909.8 CRÍ49.9%
——15Quest Foglight for Databases baseRmiServiceExporter Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Quest Foglight for Databases. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the configuration of the baseRmiServiceExporter bean. The issue results from the lack of proper validation of user-supplied data prior to deserializing it. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-29170.1dCVE-2026-1186277.8 ALT5.1%
——2MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow. 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 loading of SHAP explainer models. 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 user. Was ZDI-CAN-30301.22hCVE-2026-1186237.8 ALT31.4%
——9MLflow PickleEvaluationArtifact Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow. 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 pickle 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-29513.22h