CVE-2021-29512
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0.
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The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.
CVSS
- Versión: 3.1
- Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- Puntuación base: 7.8
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.21%
- Percentil entre todas las CVEs puntuadas: 10
- Fecha de la puntuación: 7/10/2026
EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).
Tecnologías afectadas (1)
CWE
- CWE-120
- CWE-787
Referencias
- https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4
- https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4
JSON original (NVD)
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"value": "TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected."
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"value": "TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. Si el argumento \"splits\" de \"RaggedBincount\" no especifica un \"SparseTensor\" válido (https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), entonces un atacante puede desencadenar un desbordamiento del búfer de la pila. Esto causará una lectura desde fuera de límites del búfer tensorial \"splits\" en una implementación de la operación \"RaggedBincount\" (https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op. cc#L430-L433). Antes del bucle \"for\",\"batch_idx\" es ajustado en 0. El usuario controla la matriz \"splits\", haciendo que contenga solo un elemento, 0. Por lo tanto, el código en el bucle \"while\" incrementaría \"batch_idx\" y luego intenta leer \"splits(1)\", que está fuera de límites. La corrección será incluída en TensorFlow versión 2.5.0. También seleccionaremos este commit en TensorFlow versión 2.4.2 y TensorFlow versión 2.3.3, ya que estos también están afectados"
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"lastModified": "2026-06-17T03:47:48.470",
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