FKIE_CVE-2020-15200
Vulnerability from fkie_nvd - Published: 2020-09-25 19:15 - Updated: 2024-11-21 05:05
Severity ?
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | Patch, Third Party Advisory | |
| security-advisories@github.com | https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory | |
| security-advisories@github.com | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3 | Exploit, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3 | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | 2.3.0 |
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"value": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1."
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"value": "En Tensorflow anteriores a la versi\u00f3n 2.3.1, la implementaci\u00f3n de \"RaggedCountSparseOutput\" no comprueba que los argumentos de entrada formen un tensor irregular v\u00e1lido.\u0026#xa0;En particular, no existe comprobaci\u00f3n de que los valores en el tensor \"splits\" generen una partici\u00f3n v\u00e1lida del tensor \"values\".\u0026#xa0;Por lo tanto, el c\u00f3digo establece las condiciones para causar un desbordamiento del b\u00fafer de la pila.\u0026#xa0;Un \"BatchedMap\" es equivalente a un vector donde cada elemento es un mapa de hash.\u0026#xa0;Sin embargo, si el primer elemento de \"splits_values\" no es 0, \"batch_idx\" nunca ser\u00e1 1, por lo que no habr\u00e1 un hashmap en el \u00edndice 0 en \"per_batch_counts\".\u0026#xa0;Intentar acceder a eso en el c\u00f3digo de usuario resulta en un fallo de segmentaci\u00f3n.\u0026#xa0;El problema es parcheado en el commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 y es publicado en TensorFlow versi\u00f3n 2.3.1"
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"id": "CVE-2020-15200",
"lastModified": "2024-11-21T05:05:04.157",
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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