Menu

Star on GitHub · 3.2k

2022

25,043 vulnerabilities published in 2022.

Results

10,650 of 25,043· Page 65/213
5.9
CVE-2022-35990

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_chann

5.9
CVE-2022-35989

TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` wi

5.9
CVE-2022-35988

TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, th

5.9
CVE-2022-35987

TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either

5.9
CVE-2022-35986

TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`,

5.9
CVE-2022-35985

TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is

5.9
CVE-2022-35984

TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `i

5.9
CVE-2022-35983

TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsuppor

5.9
CVE-2022-35982

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`,

5.9
CVE-2022-35981

TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` fa

5.9
CVE-2022-35979

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar i

5.4
CVE-2022-35194

TestLink v1.9.20 was discovered to contain a stored cross-site scripting (XSS) vulnerability via /lib/inventory/inventor

6.2
CVE-2022-2332

A local unprivileged attacker may escalate to administrator privileges in Honeywell SoftMaster version 4.51, due to inse

4.3
CVE-2022-29489

Cross-Site Request Forgery (CSRF) vulnerability in Sucuri Security plugin <= 1.8.33 at WordPress leading to Event log en

5.9
CVE-2022-35974

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs fo

5.9
CVE-2022-35973

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`,

5.9
CVE-2022-35972

TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `mi

5.9
CVE-2022-35971

TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors

5.9
CVE-2022-35970

TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tenso

5.9
CVE-2022-35969

TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_

5.9
CVE-2022-35968

TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate

5.9
CVE-2022-35967

TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensor

5.9
CVE-2022-35966

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` te

5.9
CVE-2022-35965

TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inp

5.9
CVE-2022-35964

TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully valid

5.9
CVE-2022-35963

TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully

5.9
CVE-2022-35960

TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_

5.9
CVE-2022-35959

TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully valid

5.9
CVE-2022-35952

TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is

5.9
CVE-2022-35941

TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must

5.9
CVE-2022-35940

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that

5.9
CVE-2022-35935

TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denia

5.9
CVE-2022-35934

TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnera

6.1
CVE-2020-25491

6Kare Emakin 5.0.341.0 is affected by Cross Site Scripting (XSS) via the /rpc/membership/setProfile DisplayName field, w

5.9
CVE-2022-39006

The MPTCP module has the race condition vulnerability. Successful exploitation of this vulnerability may cause the devic

5.5
CVE-2022-38428

Adobe Photoshop versions 22.5.8 (and earlier) and 23.4.2 (and earlier) are affected by a Use After Free vulnerability th

5.5
CVE-2022-38407

Adobe InCopy version 17.3 (and earlier) and 16.4.2 (and earlier) are affected by an out-of-bounds read vulnerability tha

5.5
CVE-2022-38406

Adobe InCopy version 17.3 (and earlier) and 16.4.2 (and earlier) are affected by an out-of-bounds read vulnerability tha

5.4
CVE-2022-35664

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-34218

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30686

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30685

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30684

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.3
CVE-2022-30683

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a Violation of Secure Design Principles vulnerab

5.4
CVE-2022-30682

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30681

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30680

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30678

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.4
CVE-2022-30677

Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerabi

5.5
CVE-2022-30676

Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability

Test your stack for 2022issues

CyberStrike tests your own apps and APIs, then verifies each finding before you see it.