BaselineWatch
61074 CVEs · 136 in KEV
Desk
CVEs known61,074 New, 24 h177 Changed, 24 h188 In KEV136 Public exploit1,650 Match watchlist0

Vulnerabilities

All My stack Known exploited Public exploit Critical (9+) Likely exploited (EPSS ≥ 50%) Changed, 24 h New, 24 h Sort: risk modified published CVSS EPSS
CVEs
CVECVSSEPSSVendor, productDescriptionModified
CVE-2026-51947exploit 9.8 critical 1.0% no CPE yet An issue in Pivotal CRM 6.6.4.08 and systems using patch-ghi-15381-cwe-502-20251225.zip (fixed in Pivotal CRM 6.6.5.10 and Patch_CWE502_20260316.zip) allows a remote attacker to execute arbitrary code via the Pivotal.Engine.Client.Services.Conversion.dll component. NOTE: this issue exists because of an incomplete fix for CVE-2026-39253. 25 Oct
CVE-2026-66713 9.8 critical 2.0% apache, axis2\/java Deserialization of Untrusted Data (CWE-502) in the Tribes-based clustering component in Apache Software Foundation Apache Axis2/Java through 2.0.0 on Apache Tomcat (only when Tribes clustering is enabled, which is off by default) allows an unauthenticated remote attacker with network access to the clustering port to execute arbitrary code via a crafted serialized Java object delivered to the cluster channel and deserialized in org.apache.axis2.clustering.tribes.Axis2ChannelListener#messageReceived. Users are recommended to upgrade to version 2.0.1, which fixes this issue by removing the clustering feature entirely. 24 Oct
CVE-2026-31229 9.8 critical 1.0% no CPE yet The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a maliciously crafted model file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution. 19 Oct
CVE-2026-31234 9.8 critical 1.0% no CPE yet 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. 19 Oct
CVE-2026-31237 9.8 critical 1.0% no CPE yet The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction. 19 Oct
CVE-2026-12046 9.5 critical 1.0% pgadmin, pgadmin_4 Two state-mutating endpoints in pgAdmin 4's SQL Editor blueprint -- DELETE /sqleditor/close/<trans_id> and POST /sqleditor/initialize/sqleditor/update_connection/<sgid>/<sid>/<did> -- were the only routes in the module missing the @pga_login_required decorator. Both reach a pickle.loads sink on session['gridData'][<trans_id>]['command_obj']: the close endpoint via close_sqleditor_session(), and update_sqleditor_connection via check_transaction_status(). In server mode these endpoints were reachable without any authenticated pgAdmin session. The defect is a missing-authentication-on-critical-function (CWE-306) wrapper around a deserialization-of-untrusted-data sink (CWE-502). Exploiting it for remote code execution requires the attacker to also forge a server-side session file whose gridData entry contains a malicious pickle payload, which in turn requires both (a) knowledge of pgAdmin's Flask SECRET_KEY (no chain to leak it is described here -- the attacker must already possess it) and (b) write access to pgAdmin's sessions/ directory on the host. Neither precondition is granted by this defect on its own. When those preconditions are met from another channel (misconfigured deployment, prior compromise, leaked configuration), the missing auth gate is the final hop that turns an existing partial compromise into unauthenticated code execution in the pgAdmin process -- and, by extension, on the host under whatever account runs pgAdmin. Fix is a one-line @pga_login_required decorator on each of the two endpoints, matching the convention used by every other route in the module. The is_authenticated / MFA chain now runs before the trans_id is dereferenced, so an unauthenticated request is rejected before reaching the deserialization path. The defect is server-mode only. In DESKTOP mode pgAdmin's before_request hook re-authenticates DESKTOP_USER on every request, so no endpoint can be exercised in an unauthenticated state and no auth decorator (or its absence) is meaningful. The accompanying regression test mirrors the attacker's path -- harvests an X-pgA-CSRFToken from GET /login and replays it against both endpoints -- and self-skips outside server mode for that reason; it is wired into the existing server-mode CI workflow alongside the data-isolation tests. This issue affects pgAdmin 4: from 6.9 before 9.16. 25 Oct
CVE-2026-31239 9.8 critical 0.00% no CPE yet The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process. 19 Oct

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EPSS scores: 2026-11-01. NVD cursor: 2026-10-29 00:22. The News page shows only notable CVEs (KEV, your stack, new criticals, EPSS over 50%, or active exploitation per SSVC); this table has all of them.