286 matches found
DotNetNuke 9.2 - 9.2.2 - Weak Encryption & Cookie Deserialization
DNN DotNetNuke versions 9.2 through 9.2.2 use a weak encryption algorithm to protect input parameters because of an incomplete fix for CVE-2018-15811. This cryptographic weakness enables attackers to craft malicious DNNPersonalization cookies that can be deserialized, leading to remote code...
azure-ai-generative (>=1.0.0b1 <=1.0.0b3), azure-ai-resources (>=1.0.0b1 <=1.0.0b9) +15 more potentially affected by CVE-2026-2651 via mlflow-skinny (>=3.0.0 <=3.0.1)
mlflow-skinny PYPI version =3.0.0, =1.0.0b1, =1.0.0b1, =0.1.0, =0.1.0, =2.5.0, =0.0.13, =3.0.0, =0.1.0, =0.1.4 and more Source cves: CVE-2026-2651 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-16874026...
azure-ai-generative (>=1.0.0b1 <=1.0.0b3), azure-ai-resources (>=1.0.0b1 <=1.0.0b9) +15 more potentially affected by CVE-2026-2652 via mlflow-skinny (>=3.0.0 <=3.0.1)
mlflow-skinny PYPI version =3.0.0, =1.0.0b1, =1.0.0b1, =0.1.0, =0.1.0, =2.5.0, =0.0.13, =3.0.0, =0.1.0, =0.1.4 and more Source cves: CVE-2026-2652 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-16698136...
CVE-2026-40306
DNN Platform (DotNetNuke) CVE-2026-40306 describes a flaw where all new installations of DNN 10.x.x–10.2.1 use the same Host GUID. Red Hat, NVD, CVE listings, and related advisories indicate this shortcoming stems from predictable HostGUID values introduced in releases prior to 10.2.2, which patc...
CVE-2026-40306
DNN formerly DotNetNuke is an open-source web content management platform CMS in the Microsoft ecosystem. All new installations of DNN 10.x.x - 10.2.1 have the same Host GUID. This does not affect upgrades from 9.x.x. Version 10.2.2 patches the issue...
GHSA-2RHW-GW3F-477J DNN: Same HostGUID for all new installs
DNN formerly DotNetNuke is an open-source web content management platform CMS in the Microsoft ecosystem. All new installations of DNN 10.x.x - 10.2.1 have the same Host GUID. This does not affect upgrades from 9.x.x. Version 10.2.2 patches the issue...
azure-ai-generative (>=1.0.0b1 <=1.0.0b3), azure-ai-resources (>=1.0.0b1 <=1.0.0b9) +30 more potentially affected by CVE-2025-15381 via mlflow-skinny (>=3.0.0 <=3.11.0rc0)
mlflow-skinny PYPI version =3.0.0, =1.0.0b1, =1.0.0b1, =0.1.0, =0.1.0, =2.5.0, =0.0.13, =7.1.1, =0.2.0, =0.2.1 and more Source cves: CVE-2025-15381 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-15870197...
CVE-2025-12343
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnnbackendtf.c source file. The issue occurs in the dnnexecutemodeltf function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free conditio...
CVE-2025-12343
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnnbackendtf.c source file. The issue occurs in the dnnexecutemodeltf function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free conditio...
CVE-2026-24833
DotNetNuke (DNN) Platform versions prior to 9.13.10 and 10.2.0 are affected by a stored XSS in the module description (richtext) that can execute scripts in the Persona Bar. Root cause: descriptions in module installation may contain un sanitized scripts. Affected component: DotNetNuke.Core. Reme...
CVE-2018-14486
DNN formerly DotNetNuke 9.1.1 allows cross-site scripting XSS via XML...
CVE-2018-18325
DNN aka DotNetNuke 9.2 through 9.2.2 uses a weak encryption algorithm to protect input parameters. NOTE: this issue exists because of an incomplete fix for CVE-2018-15811...
CVE-2020-24020
Buffer Overflow vulnerability in FFMpeg 4.2.3 in dnnexecutelayerpad in libavfilter/dnn/dnnbackendnativelayerpad.c due to a call to memcpy without length checks, which could let a remote malicious user execute arbitrary code...
Improper Access Control
dnn.platform is vulnerable to improper access control. The vulnerability is due to the default HTML editing configuration allowing unauthenticated file uploads, which allows an attacker to upload arbitrary files and potentially leverage them for further compromise...
Unrestricted File Upload
dnn.platform is vulnerable to Unrestricted File Upload. The vulnerability is due to the default HTML editor provider allowing unauthenticated file uploads and overwriting of existing files, which allows an attacker to upload malicious files, deface the website, and potentially inject XSS payloads...
DNN CKEditor Provider allows unauthenticated upload out-of-the-box
Summary The out-of-box experience for HTML editing allows unauthenticated users to upload files. This opens a potential vector to other security issues and is not needed on most implementations. Details The new out-of-box experience blocks that endpoint to unauthenticated users. If there is a rea...
CVE-2025-64095
Summary (CVE-2025-64095) : DNN (DotNetNuke) versions before 10.1.1 are vulnerable to an unrestricted file upload due to the default HTML editor provider, allowing unauthenticated users to upload and overwrite files. This can enable website defacement and, when combined with other issues, potentia...
CVE-2025-62802 DNN CKEditor Provider allows unauthenticated upload out-of-the-box
DNN formerly DotNetNuke is an open-source web content management platform CMS in the Microsoft ecosystem. Prior to 10.1.1, the out-of-box experience for HTML editing allows unauthenticated users to upload files. This opens a potential vector to other security issues and is not needed on most...
CVE-2025-12343
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnnbackendtf.c source file. The issue occurs in the dnnexecutemodeltf function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free conditio...
FFmpeg 安全漏洞
FFmpeg is a complete solution for recording, converting, and streaming audio and video from the FFmpeg team. A security vulnerability exists in FFmpeg, which originates from the dnnexecutemodeltf function in the libavfilter/dnnbackendtf.c source file that releases a task object multiple times in...