PT-2021-21799 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The implementation of fully connected layers in TFLite is vulnerable to a divisi...

PT-2021-21770 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can trigger a crash via a CHECK-fail in debug builds of TensorFlow...

PT-2021-21790 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can read from outside of bounds of heap allocated data by sending...

PT-2021-21789 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can cause undefined behavior via binding a reference to null pointer...

PT-2021-21784 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can cause undefined behavior via binding a reference to null pointer...

PT-2021-21788 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can read from outside of bounds of heap allocated data by sending...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google Tensorflow, which can be exploited by local attackers to cause a denial of service...

PT-2021-21775 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can cause undefined behavior via binding a reference to null pointer...

PT-2021-21760 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 Description: The implementation of tf.raw ops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer...

PT-2021-21767 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The implementation for tf.raw ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap...

PT-2021-21800 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The implementation of SVDF in TFLite is vulnerable to a null pointer error. The GetVariableInput function can return a...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. the implementation of tf.rawops.SparseDenseCwiseDiv in versions prior to Google TensorFlow 2.6.0 is vulnerable to a dezero error. No details of the vulnerability are currently available...

Google TensorFlow缓冲区错误漏洞

Google TensorFlow is an end-to-end open-source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow, which could be exploited by an attacker to bind a reference to a null pointer in all operations of type "tf.rawops.MatrixDiagV" to cause undefined...

Google TensorFlow缓冲区错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, has a security vulnerability stemming from the program "tf.rawops. DatasetToTFRecord" implementations can trigger heap buffer overflow and segmentation errors. No detailed vulnerability details are available...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to security flaws that could be exploited by attackers by sending specially crafted illegal parameters to "BoostedTreesSparseCalculateBestFeatureSplit" by sending specially crafted illegal...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow TFLite. An attacker can exploit the vulnerability to cause a denial of service...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow versions prior to 2.6.0. An attacker can exploit the vulnerability to execute arbitrary code on the system...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow "tf.rawops.UpperBound". An attacker could exploit this vulnerability to read data from outside the boundaries of the heap allocation data and use this information to laun...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow versions prior to 2.6.0. An attacker could exploit the vulnerability to cause a denial of service...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source machine learning platform. An arbitrary code execution vulnerability exists in Google TensorFlow versions prior to 2.6.0. The vulnerability stems from YAML deserialization. An attacker can exploit this vulnerability to execute arbitrary code...