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HuttenlocherTechnologies
Updated 10 h ago

Vulnerability database

Every flaw the U.S. government’s cybersecurity agency (CISA) has confirmed attackers are using, plus the new WordPress plugin and theme bugs published each day, sorted by what they mean for a small business. We refresh it twice a day. If you see something your website or office runs, tell us.

1,762exploited flaws on CISA’s list
34added in the last 30 days
343new WordPress flaws this week
390,080entries in the database

6 results

  • Sep 22, 2026A security vulnerability has been detected in Dask up to 2026.8.0.CVE-2026-95897 · Other software · reported by VulDBLow 2

    A security vulnerability has been detected in Dask up to 2026.8.0. This affects the function from_npy_stack of the file dask/array/core.py of the component Loader. Such manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.

    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jun 2, 2026A flaw has been found in dask up to 3.0.CVE-2026-10705 · Other software · reported by VulDBLow 2.3

    A flaw has been found in dask up to 3.0. Affected by this issue is the function nunique_approx of the file dask/dataframe/hyperloglog.py of the component HLL Handler. This manipulation causes resource consumption. The attack is possible to be carried out remotely. A high degree of complexity is needed for the attack. The exploitation is known to be difficult. The pull request to fix this issue awaits acceptance.

    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Jan 16, 2026Dask distributed is a distributed task scheduler for Dask.CVE-2026-23528 · Other software · dask · reported by GitHubMedium 5.3

    Dask distributed is a distributed task scheduler for Dask. Prior to 2026.1.0, when Jupyter Lab, jupyter-server-proxy, and Dask distributed are all run together, it is possible to craft a URL which will result in code being executed by Jupyter due to a cross-side-scripting (XSS) bug in the Dask dashboard. It is possible for attackers to craft a phishing URL that assumes Jupyter Lab and Dask may be running on localhost and using default ports. If a user clicks on the malicious link it will open an error page in the Dask Dashboard via the Jupyter Lab proxy which will cause code to be executed by the default Jupyter Python kernel. This vulnerability is fixed in 2026.1.0.

    Product
    distributed
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Nov 25, 2025Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites.CVE-2025-62703 · Other software · fugue-project · reported by GitHubHigh 8.8

    Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. In version 0.9.2 and prior, there is a remote code execution vulnerability by pickle deserialization via FlaskRPCServer. The Fugue framework implements an RPC server system for distributed computing operations. In the core functionality of the RPC server implementation, I found that the _decode() function in fugue/rpc/flask.py directly uses cloudpickle.loads() to deserialize data without any sanitization. This creates a remote code execution vulnerability when malicious pickle data is processed by the RPC server. The vulnerability exists in the RPC communication mechanism where the client can send arbitrary serialized Python objects that will be deserialized on the server side, allowing attackers to execute arbitrary code on the victim's machine. This issue has been patched via commit 6f25326.

    Product
    fugue
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Oct 26, 2021An issue was discovered in the Dask distributed package before 2021.10.0 for Python.CVE-2021-42343 · Other software · Anaconda · reported by MITRECritical 9.8

    An issue was discovered in the Dask distributed package before 2021.10.0 for Python. Single machine Dask clusters started with dask.distributed.LocalCluster or dask.distributed.Client (which defaults to using LocalCluster) would mistakenly configure their respective Dask workers to listen on external interfaces (typically with a randomly selected high port) rather than only on localhost. A Dask cluster created using this method (when running on a machine that has an applicable port exposed) could be used by a sophisticated attacker to achieve remote code execution.

    Product
    Dask
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.
  • Aug 2, 2019Das Q before 2019-08-02 allows web sites to execute arbitrary code on client machines, as demonstrated by a cross-origin /install request with an attacker-contrCVE-2019-14551 · Other software · Daskeyboard · reported by MITRECritical 9.8

    Das Q before 2019-08-02 allows web sites to execute arbitrary code on client machines, as demonstrated by a cross-origin /install request with an attacker-controlled releaseUrl, which triggers download and execution of code within a ZIP archive.

    Product
    DAS Q Software
    What to do
    Apply the vendor’s update. The NVD record links to the advisory.

Where this comes from: the exploited list is CISA’s Known Exploited Vulnerabilities catalog. Everything else is the whole National Vulnerability Database, where each record is published by the team that found the bug (Wordfence, Patchstack, WPScan, the vendors themselves and others); we show who. Exploit odds are FIRST’s EPSS, updated daily. Titles and categories are ours, so check the linked record before acting on a detail. For a write-up of the big ones, see our advisories. Every vendor, and every WordPress plugin and theme with a recorded flaw, also has its own page. All of it is free to reuse as JSON, CSV or RSS.

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