CVE-2021-29530

CVE-2021-29530 concerns TensorFlow’s SparseMatrixSparseCholesky: passing an invalid permutation could trigger a null pointer dereference due to incomplete input validation in the underlying code, allowing continuation after a failed check. Public sources (NVD, OSV, GHSA) describe the issue in Ten...

CVE-2021-29531

CVE-2021-29531 affects TensorFlow and relates to a denial-of-service risk in PNG encoding when an attacker supplies an empty input tensor for pixel data. The issue stems from encode_png_op.cc validating only total pixel count and passing image data to png::WriteImageToBuffer, which calls CHECK_NO...

CVE-2021-29531 CHECK-fail in tf.raw_ops.EncodePng

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a CHECK fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the...

CVE-2021-29532

Summary: CVE-2021-29532 affects TensorFlow and describes a heap out-of-bounds read in RaggedCross when processing tensors, due to missing validation of user-supplied indices in ragged/dense/sparse paths. The vulnerability arises from code that uses list indices (e.g., next_ragged/next_sparse/next...

CVE-2021-29532

TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross. This is because the...

CVE-2021-29532 Heap out of bounds read in `RaggedCross`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross. This is because the...

CVE-2021-29533 CHECK-fail in DrawBoundingBoxes

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK failure by passing an empty image to tf.rawops.DrawBoundingBoxes. This is because the...

CVE-2021-29533

TensorFlow DrawBoundingBoxes (CVE-2021-29533) is affected by a CHECK_-driven input validation flaw that can crash the program when an empty image is passed. The root cause is input validation using CHECK_ instead of OP_REQUIRES, causing a negative max_box_row_clamp and a crash. The fix is include...

CVE-2021-29533

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK failure by passing an empty image to tf.rawops.DrawBoundingBoxes. This is because the...

CVE-2021-29534

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.SparseConcat. This is because the...

CVE-2021-29534 CHECK-fail in SparseConcat

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.SparseConcat. This is because the...

CVE-2021-29534

TensorFlow vulnerability CVE-2021-29534 concerns a CHECK-fail in tf.raw_ops.SparseConcat caused by using shapes[0] to define the output shape, leading to a denial of service via overflow in TensorShape initialization. Affected behavior occurs when shape dimensions are overflowed during InitDims/A...

CVE-2021-29535

CVE-2021-29535 affects TensorFlow’s QuantizedMul implementation. The vulnerability arises when four quantization thresholds are passed as inputs and may be empty tensors, causing a heap buffer overflow by accessing .flat()(0) on an empty buffer. This is rooted in the code path in quantized_mul_op...

CVE-2021-29535

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedMul by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29535 Heap buffer overflow in `QuantizedMul`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedMul by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29536

TensorFlow’s CVE-2021-29536 is a heap buffer overflow in QuantizedReshape triggered when the input_min/input_max tensors are empty. The issue arises because code assumes scalar inputs and accesses .flat()(0), which overflows if the tensors contain no elements. The fix is included in TensorFlow 2....

CVE-2021-29536 Heap buffer overflow in `QuantizedReshape`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedReshape by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29536

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedReshape by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29537 Heap buffer overflow in `QuantizedResizeBilinear`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedResizeBilinear by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29537

CVE-2021-29537 affects TensorFlow: a heap buffer overflow in QuantizedResizeBilinear triggered by invalid quantization thresholds. Root cause is assuming two scalar inputs are valid and directly indexing their values; if min/max tensors are empty, accessing element 0 overflows. Public details con...