PYSEC-2021-559

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The...

CVE-2021-37643

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.rawops.MatrixDiagPartOp, then the code triggers a null pointer dereference if input is empty or produces invalid behavior, ignoring all values after the first. The...

CVE-2019-25052

In Linaro OP-TEE before 3.7.0, by using inconsistent or malformed data, it is possible to call update and final cryptographic functions directly, causing a crash that could leak sensitive information...

Information disclosure

In Linaro OP-TEE before 3.7.0, by using inconsistent or malformed data, it is possible to call update and final cryptographic functions directly, causing a crash that could leak sensitive information...

CVE-2019-25052

In Linaro OP-TEE before 3.7.0, by using inconsistent or malformed data, it is possible to call update and final cryptographic functions directly, causing a crash that could leak sensitive information...

CVE-2019-25052

In Linaro OP-TEE before 3.7.0, by using inconsistent or malformed data, it is possible to call update and final cryptographic functions directly, causing a crash that could leak sensitive information...

CVE-2019-25052

The CVE-2019-25052 issue affects Linaro OP-TEE up to versions before 3.7.0. Root cause: processing inconsistent or malformed data allows calling update and final cryptographic functions directly. Impact: a crash that could leak sensitive information. Exploitation details or in-the-wild usage are ...

DEBIAN-CVE-2020-25668

A flaw was found in Linux Kernel because access to the global variable fgconsole is not properly synchronized leading to a use after free in confontop...

CVE-2021-29556

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in tf.rawops.Reverse. This is because the...

PYSEC-2021-740

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.io.decoderaw produces incorrect results and crashes the Python interpreter when combining fixedlength and wider datatypes. The implementation of the padded...

PYSEC-2021-682

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in tf.rawops.Reverse. This is because the...

CVE-2021-29575

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.ReverseSequence allows for stack overflow and/or CHECK-fail based denial of service. The...

PYSEC-2021-212

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.ReverseSequence allows for stack overflow and/or CHECK-fail based denial of service. The...

PYSEC-2021-213

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow. The...

PYSEC-2021-493

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of tf.rawops.SparseFillEmptyRows. This is because of missing...

CVE-2021-29567

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.SparseDenseCwiseMul, an attacker can trigger denial of service via CHECK-fails or accesses to outside the bounds of heap allocated data. Since the...

CVE-2021-29573

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax is vulnerable to a division by 0. The...

New Spectre-Like Attacks

Theres new research that demonstrates security vulnerabilities in all of the AMD and Intel chips with micro-op caches, including the ones that were specifically engineered to be resistant to the Spectre/Meltdown attacks of three years ago. Details: The new line of attacks exploits the micro-op...

Spectre attacks come back from the dead

Spectre is the name for a whole class of vulnerabilities discovered in January 2018 that affected huge numbers of modern computer processors that rely on a performance feature called speculative execution. Since then, some of the world’s most talented computer scientists from industry and academi...

AMD RESPONSE TO “I see dead µops: leaking secrets via Intel/AMD micro-op caches” RESEARCH PAPER

Bulletin ID: AMD-SB-1006 Summary AMD has reviewed the research paper and believes existing mitigations were not being bypassed and no new mitigations are required. AMD recommends its existing side-channel mitigation guidance and standard secure coding practices be followed. CVE Details None...