CVE-2023-4270

The Min Max Control WordPress plugin before 4.6 does not sanitise and escape a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which could be used against high privilege users such as admin...

CVE-2023-4270

The Min Max Control WordPress plugin before 4.6 does not sanitise and escape a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which could be used against high privilege users such as admin...

Cross site scripting

The Min Max Control WordPress plugin before 4.6 does not sanitise and escape a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which could be used against high privilege users such as admin...

CVE-2023-4270 Min Max Control < 4.6 - Reflected XSS

The Min Max Control WordPress plugin before 4.6 does not sanitise and escape a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which could be used against high privilege users such as admin...

CVE-2023-4270

The vulnerability CVE-2023-4270 affects the Min Max Control WordPress plugin for versions before 4.6. It arises from inadequate sanitisation/escaping of a parameter, resulting in a Reflected Cross-Site Scripting (XSS) that could affect high-privilege users (e.g., admins). The issue is exploitable...

PT-2023-28520 · WordPress · Min Max Control

Name of the Vulnerable Software and Affected Versions: Min Max Control WordPress plugin versions prior to 4.6 Description: The issue is related to a Reflected Cross-Site Scripting problem. It occurs because a parameter is not properly sanitised and escaped before being outputted back in the page...

WordPress plugin Min Max Control cross-site scripting vulnerability

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. WordPress plugin is an application plugin that supports personal blogs on PHP and MySQL servers. A cross-site scripting vulnerability exists in the...

WordPress Min Max Control Plugin < 4.6 is vulnerable to Cross Site Scripting (XSS)

Software Min Max Control Type Plugin Vulnerable versions 4.6 Fixed in 4.6 OWASP Top 10 A7: Cross-Site Scripting XSS Classification Cross Site Scripting XSS CVE CVE-2023-4270 Patch priority Medium CVSS severity Medium 7.1 Developer Claim ownership PSID f355d50b63c9 Credits Animesh Gaurav Required...

Min Max Control < 4.6 - Reflected XSS

Description The plugin does not sanitise and escape a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which could be used against high privilege users such as admin. alert1'...

SUSE CVE-2021-21708

In PHP versions 7.4.x below 7.4.28, 8.0.x below 8.0.16, and 8.1.x below 8.1.3, when using filter functions with FILTERVALIDATEFLOAT filter and min/max limits, if the filter fails, there is a possibility to trigger use of allocated memory after free, which can result it crashes, and potentially in...

SUSE CVE-2022-35990

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-36005

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

Oracle Linux 9 : php (ELSA-2022-8197)

The remote Oracle Linux 9 host has packages installed that are affected by multiple vulnerabilities as referenced in the ELSA-2022-8197 advisory. 8.0.20-3 - snmp3 calls using authPriv or authNoPriv immediately return false 2104630 8.0.20-2 - fix patch41 not applied use system nikic/php-parser whe...

GHSA-689C-R7H2-FV9V TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

GHSA-9FPG-838V-WPV7 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf numbits = 8 narrowrange = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant0,...

GHSA-H7FF-CFC9-WMMH TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

CVE-2022-36005

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35990

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...