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8d9668bfba6e4132927df8dd3c144dfb9d5aa2fd93251e8dc8e9721c14fa329e | NVD | CVE-2021-41199 | CVE-2021-41199: tensorflow | TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overfl... | 2021-11-05T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | medium | [
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e26c4f59a34d140f7f24580ec56e732eb22a3ef8c15046bfbc331f604c31f104 | NVD | CVE-2021-29565 | CVE-2021-29565: tensorflow | 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.raw_ops.SparseFillEmptyRows`. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/cor... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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2d68fdab0411e7bae37fe92008640af51e0beb9aa31e507e368d27664c4b0b1d | NVD | CVE-2022-41901 | CVE-2022-41901: tensorflow | TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11... | 2022-11-18T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | medium | [
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edadb041d5c553f98bacac39ecc6573aa5b632df2bff90039200f4a06ab31405 | NVD | CVE-2021-29528 | CVE-2021-29528: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedMul`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55900e961ed4a23b438392024912154a2c2f5e85/tensorflow/core/kernels/quantized_mul_op.cc#L188-L198) do... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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08fffb40b76b54f1f53b7cc59bdb7e7aefc14732f2dfd2c4241a8bf66d096017 | NVD | CVE-2021-29533 | CVE-2021-29533: tensorflow | 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.raw_ops.DrawBoundingBoxes`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | low | [
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] | https://nvd.nist.gov/vuln/detail/CVE-2021-29533 | {
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45a8db55f63ca93ba0d578a31bf899830048faeb481aaff0d556365c480738e1 | NVD | CVE-2026-41488 | CVE-2026-41488: langchain-openai | LangChain is a framework for building agents and LLM-powered applications. Prior to 1.1.14, langchain-openai's _url_to_size() helper (used by get_num_tokens_from_messages for image token counting) validated URLs for SSRF protection and then fetched them in a separate network operation with independent DNS resolution. T... | 2026-04-24T00:00:00 | 2026-08-01T06:02:36.837327Z | langchain-ai | langchain-openai | AML.T0010.001 | Initial Access | low | [
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1eeb745567b6d0b68a5047eb73eee634b897e2543d1acd057ed725d7d443a625 | NVD | CVE-2022-35970 | CVE-2022-35970: tensorflow | TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | medium | [
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947c21183bf5852b3c6f81807c1d5f6a22613e1d6206c6bfd536b035aece82d8 | NVD | CVE-2021-41196 | CVE-2021-41196: tensorflow | TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be s... | 2021-11-05T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | medium | [
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3be933ef0db0ca443470382d9f7084541ebc6a5e6f65241b4ed273e9afab177b | NVD | CVE-2021-29566 | CVE-2021-29566: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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e58113fcc69057ff15a9d1b39263c4a44b95461f76ac97abc8501224855cedfb | NVD | CVE-2021-29569 | CVE-2021-29569: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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ecbd1c26614900eff50107539cbdf27cf3cb9bffef9001957e3b32ad314d5342 | NVD | CVE-2022-35994 | CVE-2022-35994: tensorflow | TensorFlow is an open source platform for machine learning. When `CollectiveGather` receives an scalar input `input`, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be included in TensorFl... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | medium | [
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f3e7ecaccdf6b02a62be4e3636fcece32a8277fc2a73511ec5609a7efe80de72 | NVD | CVE-2022-35995 | CVE-2022-35995: tensorflow | TensorFlow is an open source platform for machine learning. When `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f. The fix will... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | medium | [
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c45af4c782b0ec88e88ca05d6016d91b4f21010ea09d406e1a0b67c97e7e871c | NVD | CVE-2022-35952 | CVE-2022-35952: tensorflow | TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in ... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | medium | [
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d68743e837b60384b76107d94f2ee1b8b89b2a89de5713d78bbcd77c5c9cedbb | NVD | CVE-2021-29572 | CVE-2021-29572: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.SdcaOptimizer` triggers undefined behavior due to dereferencing a null pointer. The implementation(https://github.com/tensorflow/tensorflow/blob/60a45c8b6192a4699f2e2709a2645a751d435cc3/tensorflow/core/kernels/sdca_... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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"CWE-476"
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5aa940be35785d9b964d024278bc79ecb37ee4e9cff17b40f1d3fa58c3973e90 | NVD | CVE-2024-31583 | CVE-2024-31583: n/a | Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp. | 2024-04-17T00:00:00 | 2026-08-01T06:02:36.837327Z | n/a | n/a | AML.T0010.001 | Initial Access | high | [
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4a4661e69acfe739a8bd7e9744e725c2b190610504e507f704a93c4c12941659 | NVD | CVE-2024-12720 | CVE-2024-12720: huggingface/transformers | A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization_nougat_fast.py. The vulnerability occurs in the post_process_single() function, where a regular expression processes specially crafted input. The issue stems from th... | 2025-03-20T00:00:00 | 2026-08-01T06:02:36.837327Z | huggingface | huggingface/transformers | AML.T0029 | Impact | high | [
"huggingface",
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fdba20c97ff2524c93d52ea734c6f02216579fe3cf3aedfc780517e917c0cecf | NVD | CVE-2022-36004 | CVE-2022-36004: tensorflow | TensorFlow is an open source platform for machine learning. When `tf.random.gamma` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix will be included in TensorFlow 2.10.0... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | medium | [
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095fd6ff9e57cce1b492407f5997e70820d18313df53792b9938172f3d4a0619 | NVD | CVE-2026-58659 | CVE-2026-58659: pytorch-lightning | PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass weights_only=True prot... | 2026-07-15T00:00:00 | 2026-08-01T06:02:36.837327Z | Lightning-AI | pytorch-lightning | AML.T0049 | Initial Access | high | [
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de8557886eea4231dac11bc1541469b0675bac8f979d45a814ed58732b8e38cb | NVD | CVE-2021-29517 | CVE-2021-29517: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/conv_ops_3d.cc#L143-L145) does a modulo oper... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
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"CWE-369"
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0e9e7f4f64c311b08b7cca8d74e40a1fb7e85a51f64d2da2681c54d132bc09e8 | NVD | CVE-2021-29519 | CVE-2021-29519: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorfl... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | low | [
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b3397e1dbcc0e538061da74ebc33dfdc914bef1558a804f90a6e88432896690d | NVD | CVE-2020-15196 | CVE-2020-15196: tensorflow | In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still access... | 2020-09-25T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | high | [
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"CWE-122",
"CWE-125"
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a42495b8aba002c8e8b4070fcd5a65b744a353c638393408db29199aab474522 | NVD | CVE-2023-6730 | CVE-2023-6730: huggingface/transformers | Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36. | 2023-12-19T00:00:00 | 2026-08-01T06:02:36.837327Z | huggingface | huggingface/transformers | AML.T0010.001 | Initial Access | high | [
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"scope": "CHANGED",
"version": "3.0",
"baseScore": 9,
"attackVec... |
97cff5f87146c51c674afa4448bbaa7bdf3454e7b2989304737e9fb7a8bc0b7c | NVD | CVE-2021-29574 | CVE-2021-29574: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
"tensorflow",
"CWE-476"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-29574 | {
"cve": {
"id": "CVE-2021-29574",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 4.6,
"accessVector": "LOCAL",
"vectorStri... |
01c77bb9e67c0bf0b246e8e4783c483dee80223ec92177b5232a2dd0dd73bfab | NVD | CVE-2021-29575 | CVE-2021-29575: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service. The implementation(https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kerne... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | low | [
"tensorflow",
"CWE-119",
"CWE-787"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-29575 | {
"cve": {
"id": "CVE-2021-29575",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 2.1,
"accessVector": "LOCAL",
"vectorStri... |
89dd60ae5da255863d2e778708b0d681ccc9b7262c1bb79179814bfa24b0396d | NVD | CVE-2021-29534 | CVE-2021-29534: tensorflow | 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.SparseConcat`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b432a38fe0e1b4b904a6c222cbce794c39703e87/tensorflow/core/kernels/sparse_con... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | low | [
"tensorflow",
"CWE-754"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-29534 | {
"cve": {
"id": "CVE-2021-29534",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 2.1,
"accessVector": "LOCAL",
"vectorStri... |
00f62b81b2e01667e4e81fa2a7360c1e286fdbe6e57beb7128edda2f4418656f | NVD | CVE-2023-7018 | CVE-2023-7018: huggingface/transformers | Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36. | 2023-12-20T00:00:00 | 2026-08-01T06:02:36.837327Z | huggingface | huggingface/transformers | AML.T0010.001 | Initial Access | high | [
"huggingface",
"CWE-502"
] | https://nvd.nist.gov/vuln/detail/CVE-2023-7018 | {
"cve": {
"id": "CVE-2023-7018",
"cveTags": [],
"metrics": {
"cvssMetricV30": [
{
"type": "Secondary",
"source": "security@huntr.dev",
"cvssData": {
"scope": "CHANGED",
"version": "3.0",
"baseScore": 9.6,
"attackV... |
05f3ab3b1edf086e38984032371b7667b529889deb43ab24aad8024577df1962 | NVD | CVE-2025-3730 | CVE-2025-3730: PyTorch | A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may ... | 2025-04-16T00:00:00 | 2026-08-01T06:02:36.837327Z | n/a | PyTorch | AML.T0029 | Impact | low | [
"pytorch",
"CWE-404"
] | https://nvd.nist.gov/vuln/detail/CVE-2025-3730 | {
"cve": {
"id": "CVE-2025-3730",
"cveTags": [
{
"tags": [
"disputed"
],
"sourceIdentifier": "cna@vuldb.com"
}
],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id... |
68585b4a70273fd60d47313f0aeeb375ed4606baea2ef8acef32f2eb375ea477 | NVD | CVE-2021-37690 | CVE-2021-37690: tensorflow | TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is... | 2021-08-13T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | medium | [
"tensorflow",
"CWE-416"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-37690 | {
"cve": {
"id": "CVE-2021-37690",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 4.6,
"accessVector": "LOCAL",
"vectorStri... |
4897512e1a6c503f97af327b7d24047bc8ca7c7f065efb6b8caad1c39f04fd7f | NVD | CVE-2021-29537 | CVE-2021-29537: tensorflow | 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 implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a849672... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
"tensorflow",
"CWE-131",
"CWE-787"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-29537 | {
"cve": {
"id": "CVE-2021-29537",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 4.6,
"accessVector": "LOCAL",
"vectorStri... |
618ebb6eb004a5e77d2921bc82f1a7f926edbbc293cba8ba25ca781dfa4ae216 | NVD | CVE-2021-29541 | CVE-2021-29541: tensorflow | 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.... | 2021-05-14T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0010.001 | Initial Access | low | [
"tensorflow",
"CWE-476",
"CWE-476"
] | https://nvd.nist.gov/vuln/detail/CVE-2021-29541 | {
"cve": {
"id": "CVE-2021-29541",
"cveTags": [],
"metrics": {
"cvssMetricV2": [
{
"type": "Primary",
"source": "nvd@nist.gov",
"cvssData": {
"version": "2.0",
"baseScore": 2.1,
"accessVector": "LOCAL",
"vectorStri... |
ce2a7c22e7dbdb05a0a68b6ce083023789f5316734a311e5927292710e5cafb3 | NVD | CVE-2022-35996 | CVE-2022-35996: tensorflow | TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commi... | 2022-09-16T00:00:00 | 2026-08-01T06:02:36.837327Z | tensorflow | tensorflow | AML.T0029 | Impact | medium | [
"tensorflow",
"CWE-369"
] | https://nvd.nist.gov/vuln/detail/CVE-2022-35996 | {
"cve": {
"id": "CVE-2022-35996",
"cveTags": [],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-35996",
"role": "CISA Coordinator",
"options": [
{
... |
e6eac03af59478b236b9de35993bcf6199d63747c6f7a585814b7d281c539d78 | NVD | CVE-2026-0599 | CVE-2026-0599: huggingface/text-generation-inference | A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET request, reading the en... | 2026-02-02T00:00:00 | 2026-08-01T06:02:36.837327Z | huggingface | huggingface/text-generation-inference | AML.T0010.001 | Initial Access | high | [
"huggingface",
"CWE-400"
] | https://nvd.nist.gov/vuln/detail/CVE-2026-0599 | {
"cve": {
"id": "CVE-2026-0599",
"cveTags": [],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-0599",
"role": "CISA Coordinator",
"options": [
{
... |
End of preview. Expand in Data Studio
ai-sentinel-feed
Unified, normalized AI incident records from public sources, mapped where possible to the MITRE ATLAS adversarial ML taxonomy.
Live API: see the project README on GitHub (tk-tobi/ai-sentinel-feed).
Dataset splits
| Split | Description |
|---|---|
incidents |
All normalized records |
incidents_atlas_mapped |
Records with a mapped ATLAS technique (not unmapped) |
jailbreaks |
Records tagged heuristically for jailbreak / prompt-injection themes |
Record counts at last sync (2026-08-01T06:03:20Z):
{
"incidents": 4461,
"incidents_atlas_mapped": 2725,
"jailbreaks": 15
}
Total incidents in incidents: 4461.
Schema
Each row is a JSON object with:
| Field | Type | Description |
|---|---|---|
id |
string | Stable SHA-256 id (source + source_id) |
source |
string | NVD, AIID, or AIAAIC |
source_id |
string | Upstream identifier (CVE id, AIID id, AIAAIC id) |
title |
string | Short headline |
description |
string | Normalized description (PII masked) |
incident_date |
date | null | When the incident occurred |
ingested_at |
datetime | When this pipeline ingested the record |
vendor |
string | null | Alleged deployer / vendor |
system |
string | null | Product or system name |
atlas_technique |
string | MITRE ATLAS technique id or unmapped |
atlas_tactic |
string | null | ATLAS tactic name |
severity |
string | critical, high, medium, low, informational |
tags |
list[string] | Source-specific tags |
url |
string | null | Canonical reference URL |
raw |
object | Untouched upstream payload subset |
Sources
- NVD: AI/ML library CVEs (
pytorch,tensorflow,langchain,huggingface) - AIID: AI Incident Database
- AIAAIC: AIAAIC Repository
Usage
from datasets import load_dataset
ds = load_dataset("tk-tobi/ai-sentinel-feed")
print(ds["incidents"][0])
# Or load a single JSONL file directly:
ds = load_dataset("json", data_files="hf://datasets/tk-tobi/ai-sentinel-feed/incidents.jsonl")
Citation
If you use this dataset, cite the upstream sources (NVD, AIID, AIAAIC) and link to the ai-sentinel-feed repository.
License
Dataset compilation and normalization code is MIT-licensed. Upstream content remains subject to each source's terms.
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