CVE-2020-26271— Heap out of bounds access in MakeEdge 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存在缓冲区错误漏洞，该漏洞源于MakeEdge函数在src节点的一个输出张量（由output_index给出）和dst节点的输入槽（由input_index给出）之间创建一条边。仅当两侧张量的类型一致时才有可能，因此该函数从获取对应的DataType值并将它们进行相等性比较开始。但是，不检查索引是否指向它们索引到的数组的内部。因此，这可能导致访问数据超出相应的堆分配数组的范围。在大多数
Possible ATT&CK Techniques 1 AI
T1005 · Data from Local System
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I. Basic Information for CVE-2020-26271
Vulnerability Information
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Vulnerability Title
Heap out of bounds access in MakeEdge in TensorFlow
Source: CVE Program / CVE List V5
Vulnerability Description
In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
跨界内存读
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存在缓冲区错误漏洞，该漏洞源于MakeEdge函数在src节点的一个输出张量（由output_index给出）和dst节点的输入槽（由input_index给出）之间创建一条边。仅当两侧张量的类型一致时才有可能，因此该函数从获取对应的DataType值并将它们进行相等性比较开始。但是，不检查索引是否指向它们索引到的数组的内部。因此，这可能导致访问数据超出相应的堆分配数组的范围。在大多数
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 | < 1.15.5 | - |
|
II. Public POCs for CVE-2020-26271
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|---|
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Patches & Fixes for CVE-2020-26271 (1)
Vendor Advisories for CVE-2020-26271 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q263-fvxm-m5mw x_refsource_CONFIRM
Same Patch Batch · tensorflow · 2020-12-10 · 6 CVEs total
| CVE-2020-26270 | 4.4 MEDIUM | CHECK-fail in LSTM with zero-length input in TensorFlow |
| CVE-2020-26268 | 4.4 MEDIUM | Write to immutable memory region in TensorFlow |
| CVE-2020-26267 | 4.4 MEDIUM | Lack of validation in data format attributes in TensorFlow |
| CVE-2020-26266 | 4.4 MEDIUM | Uninitialized memory access in Eigen types in TensorFlow |
| CVE-2020-26269 | Heap out of bounds read in filesystem glob matching in TensorFlow |
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