CVE-2021-46744

Technical details about CVE-2021-46744 are not publicly provided in the supplied Connected documents. The initial entry mentions a SEV data-inference risk on AMD SEV guests, but no product/version/root-cause/fix is given here. Monitor for updates.

F5 BIG-IP 安全特征问题漏洞

F5 BIG-IP is an application delivery platform that integrates network traffic management, application security management, load balancing, etc. F5 BIG-IP has a security feature issue vulnerability that can be exploited by an attacker to determine the open UDP User Datagram Protocol source port of...

CVE-2022-25368

CVE-2022-23960 describes Spectre-BHB: an attack on ARM Cortex and Neoverse CPUs that abuse the Branch History Buffer (BHB) to influence mispredicted branches, enabling a cache-related side-channel and potential information disclosure across security contexts. Affected: ARM Cortex and Neoverse pro...

CVE-2022-25368

Spectre BHB is a variant of Spectre-v2 in which malicious code uses the shared branch history stored in the CPU BHB to influence mispredicted branches in the victim's hardware context. Speculation caused by these mispredicted branches can then potentially be used to cause cache allocation, which...

UBUNTU-CVE-2022-26382

While the text displayed in Autofill tooltips cannot be directly read by JavaScript, the text was rendered using page fonts. Side-channel attacks on the text by using specially crafted fonts could have lead to this text being inferred by the webpage. This vulnerability affects Firefox 98...

CVE-2021-3773

A flaw in netfilter could allow a network-connected attacker to infer openvpn connection endpoint information for further use in traditional network attacks...

CVE-2021-3773

A flaw in netfilter could allow a network-connected attacker to infer openvpn connection endpoint information for further use in traditional network attacks...

Google TensorFlow buffer overflow vulnerability (CNVD-2022-11507)

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google Tensorflow has a buffer overflow vulnerability, which stems from the implementation of ReverseSequence's shape inference does not fully validate the value of batch dim, and an attacker can...

Type confusion leading to segfault in Tensorflow

Impact The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion: python import tensorflow as tf @tf.function def test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return y test The axis argument...

GHSA-M4HF-J54P-P353 Type confusion leading to segfault in Tensorflow

Impact The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion: python import tensorflow as tf @tf.function def test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return y test The axis argument...

GHSA-5QW5-89MW-WCG2 Out of bounds write in Tensorflow

Impact TensorFlow is vulnerable to a heap OOB write in Grappler: cc Status SetUnknownShapeconst NodeDef node, int outputport shapeinference::ShapeHandle shape = GetUnknownOutputShapenode, outputport; InferenceContext ctx = GetContextnode; if ctx == nullptr return errors::InvalidArgument"Missing...

GHSA-VQ36-27G6-P492 Out of bounds read in Tensorflow

Impact TensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK which is a no-op during production: cc if nodet.typeid != TFTUNSET int ix = inputidxi; DCHECKix nodet.argssize "input " i " should have an output " ix " but instead only has " nodet.argssize "...

GHSA-RWW7-2GPW-FV6J Crash when type cannot be specialized in Tensorflow

Impact Under certain scenarios, TensorFlow can fail to specialize a type during shape inference: cc void InferenceContext::PreInputInit const OpDef& opdef, const std::vector& inputtensors, const std::vector& inputtensorsasshapes const auto ret = fulltype::SpecializeTypeattrs, opdef;...

Crash when type cannot be specialized in Tensorflow

Impact Under certain scenarios, TensorFlow can fail to specialize a type during shape inference: cc void InferenceContext::PreInputInit const OpDef& opdef, const std::vector& inputtensors, const std::vector& inputtensorsasshapes const auto ret = fulltype::SpecializeTypeattrs, opdef;...

Out of bounds read in Tensorflow

Impact The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read: python import tensorflow as tf @tf.function def test: y = tf.rawops.ReverseSequence input = 'aaa','bbb', seqlengths = 1,1,1, seqdim = -10, batchdim = -...

GHSA-6GMV-PJP9-P8W8 Out of bounds read in Tensorflow

Impact The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read: python import tensorflow as tf @tf.function def test: y = tf.rawops.ReverseSequence input = 'aaa','bbb', seqlengths = 1,1,1, seqdim = -10, batchdim = -...

GHSA-C6FH-56W7-FVJW Integer overflow in Tensorflow

Impact The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness: python import tensorflow as tf input = tf.constant1,1,dtype=tf.qint32 @tf.function def test: y = tf.rawops.Dequantize input=input, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...

Google Tensorflow code issue vulnerability (CNVD-2022-09885)

Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google TensorFlow is vulnerable to a code issue that stems from the fact that TensorFlow may fail to specialize types during shape inference. No detailed vulnerability details are currently available...

GHSA-627Q-G293-49Q7 Abort caused by allocating a vector that is too large in Tensorflow

Impact During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user: cc const auto numdims = Valueshapedim; std::vector dims; dims.reservenumdims; Patches We have patched the issue in GitHub commit 1361fb7e29449629e1df94d44e0427ebec8c83c7. T...

Abort caused by allocating a vector that is too large in Tensorflow

Impact During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user: cc const auto numdims = Valueshapedim; std::vector dims; dims.reservenumdims; Patches We have patched the issue in GitHub commit 1361fb7e29449629e1df94d44e0427ebec8c83c7. T...