CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29541 – Null pointer dereference in `StringNGrams`
https://notcve.org/view.php?id=CVE-2021-29541
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null pointer in `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L67-L74) does not fully validate the `data_splits` argument. This would result in `ngrams_data`(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L106-L110) to be a null pointer when the output would be computed to have 0 or negative size. Later writes to the output tensor would then cause a null pointer dereference. • https://github.com/tensorflow/tensorflow/commit/ba424dd8f16f7110eea526a8086f1a155f14f22b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xqfj-35wv-m3cr • CWE-476: NULL Pointer Dereference •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29542 – Heap buffer overflow in `StringNGrams`
https://notcve.org/view.php?id=CVE-2021-29542
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/ba424dd8f16f7110eea526a8086f1a155f14f22b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4hrh-9vmp-2jgg • CWE-131: Incorrect Calculation of Buffer Size CWE-787: Out-of-bounds Write •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29543 – CHECK-fail in `CTCGreedyDecoder`
https://notcve.org/view.php?id=CVE-2021-29543
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.raw_ops.CTCGreedyDecoder`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1615440b17b364b875eb06f43d087381f1460a65/tensorflow/core/kernels/ctc_decoder_ops.cc#L37-L50) has a `CHECK_LT` inserted to validate some invariants. When this condition is false, the program aborts, instead of returning a valid error to the user. This abnormal termination can be weaponized in denial of service attacks. • https://github.com/tensorflow/tensorflow/commit/ea3b43e98c32c97b35d52b4c66f9107452ca8fb2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fphq-gw9m-ghrv • CWE-617: Reachable Assertion •
CVSS: 5.5EPSS: 0%CPEs: 1EXPL: 1CVE-2021-29544 – CHECK-fail in `QuantizeAndDequantizeV4Grad`
https://notcve.org/view.php?id=CVE-2021-29544
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.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163) does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306). However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. • https://github.com/tensorflow/tensorflow/commit/20431e9044cf2ad3c0323c34888b192f3289af6b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6g85-3hm8-83f9 https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163 https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306 • CWE-754: Improper Check for Unusual or Exceptional Conditions •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29545 – Heap buffer overflow in `SparseTensorToCSRSparseMatrix`
https://notcve.org/view.php?id=CVE-2021-29545
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 converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm • CWE-131: Incorrect Calculation of Buffer Size •