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CVE-2020-15193— Memory corruption in Tensorflow

Quick assessment

Affected
tensorflow tensorflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

Google TensorFlow是美国谷歌(Google)公司的一套用于机器学习的端到端开源平台。 Tensorflow 2.2.1之前版本,2.3.1版本中存在安全漏洞,该漏洞源于pybind11粘合代码假定参数是张量,该漏洞允许攻击者使dlpack.to_dlpack的实现使用未初始化的内存,从而导致进一步的内存损坏。

CVSS 7.1 · High EPSS 0.83% · P56
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I. Basic Information for CVE-2020-15193

Vulnerability Information

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Vulnerability Title
Memory corruption in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
对未经初始化资源的使用
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 代码问题漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google TensorFlow是美国谷歌(Google)公司的一套用于机器学习的端到端开源平台。 Tensorflow 2.2.1之前版本,2.3.1版本中存在安全漏洞,该漏洞源于pybind11粘合代码假定参数是张量,该漏洞允许攻击者使dlpack.to_dlpack的实现使用未初始化的内存,从而导致进一步的内存损坏。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
tensorflow tensorflow = 2.2.0 -

II. Public POCs for CVE-2020-15193

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III. Intelligence Information for CVE-2020-15193

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Patches & Fixes for CVE-2020-15193 (1)

Vendor Advisories for CVE-2020-15193 (1)

Mailing List Discussions for CVE-2020-15193 (1)

Other References for CVE-2020-15193 (1)

Same Patch Batch · tensorflow · 2020-09-25 · 25 CVEs total

CVE-2020-15202 9.0 CRITICAL Integer truncation in Shard API usage
CVE-2020-15205 9.0 CRITICAL Data leak in Tensorflow
CVE-2020-15206 9.0 CRITICAL Denial of Service in Tensorflow
CVE-2020-15207 8.7 HIGH Segfault and data corruption in tensorflow-lite
CVE-2020-15196 8.5 HIGH Heap buffer overflow in Tensorflow
CVE-2020-15195 8.5 HIGH Heap buffer overflow in Tensorflow
CVE-2020-15212 8.1 HIGH Out of bounds access in tensorflow-lite
CVE-2020-15214 8.1 HIGH Out of bounds write in tensorflow-lite
CVE-2020-15203 7.5 HIGH Denial of Service in Tensorflow
CVE-2020-15208 7.4 HIGH Data corruption in tensorflow-lite
CVE-2020-15210 6.5 MEDIUM Segmentation fault in tensorflow-lite
CVE-2020-15197 6.3 MEDIUM Denial of Service in Tensorflow
CVE-2020-15209 5.9 MEDIUM Null pointer dereference in tensorflow-lite
CVE-2020-15199 5.9 MEDIUM Denial of Service in Tensorflow
CVE-2020-15200 5.9 MEDIUM Segfault in Tensorflow
CVE-2020-15198 5.4 MEDIUM Heap buffer overflow in Tensorflow
CVE-2020-15190 5.3 MEDIUM Segfault in Tensorflow
CVE-2020-15191 5.3 MEDIUM Undefined behavior in Tensorflow
CVE-2020-15204 5.3 MEDIUM Segfault in Tensorflow
CVE-2020-15194 5.3 MEDIUM Denial of Service in Tensorflow

Showing top 20 of 25 CVEs. View all on vendor page → →

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