CVE-2020-15196— Heap buffer overflow 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 2.3.0版本中存在缓冲区错误漏洞，该漏洞源于SparseCountSparseOutput和RaggedCountSparseOutput实现无法验证weights张量与数据的形状相同。
Possible ATT&CK Techniques 1 AI
T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2020-15196
Vulnerability Information
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Vulnerability Title
Heap buffer overflow in Tensorflow
Source: CVE Program / CVE List V5
Vulnerability Description
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 accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
内存缓冲区边界内操作的限制不恰当
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
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 2.3.0版本中存在缓冲区错误漏洞，该漏洞源于SparseCountSparseOutput和RaggedCountSparseOutput实现无法验证weights张量与数据的形状相同。
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 | = 2.3.0 | - |
|
II. Public POCs for CVE-2020-15196
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|---|
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Patches & Fixes for CVE-2020-15196 (1)
Vendor Advisories for CVE-2020-15196 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph x_refsource_CONFIRM
Other References for CVE-2020-15196 (1)
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https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 x_refsource_MISC
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-2020-15195 | 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-2020-15193 | 7.1 HIGH | Memory corruption in Tensorflow |
| 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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