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CVE-2021-29601— Integer overflow in TFLite concatentation

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 2.4.2,2.3.3,2.2.3，2.1.4存在输入验证错误漏洞，该漏洞源于TFLite的串联实现很容易受到整数溢出问题的影响。

CVSS 6.3 · Medium EPSS 0.19% · P8

Possible ATT&CK Techniques 1 AI

T1190 · Exploit Public-Facing Application
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I. Basic Information for CVE-2021-29601

Vulnerability Information
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Vulnerability Title
Integer overflow in TFLite concatentation
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
整数溢出或超界折返
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow输入验证错误漏洞
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 2.4.2,2.3.3,2.2.3，2.1.4存在输入验证错误漏洞，该漏洞源于TFLite的串联实现很容易受到整数溢出问题的影响。
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 < 2.1.4 -

II. Public POCs for CVE-2021-29601

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III. Intelligence Information for CVE-2021-29601

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Patches & Fixes for CVE-2021-29601 (1)

Vendor Advisories for CVE-2021-29601 (1)

Same Patch Batch · tensorflow · 2021-05-14 · 108 CVEs total

CVE-2021-29591 7.3 HIGH Stack overflow due to looping TFLite subgraph
CVE-2021-29605 7.1 HIGH Integer overflow in TFLite memory allocation
CVE-2021-29606 7.1 HIGH Heap OOB read in TFLite
CVE-2021-29614 7.1 HIGH Interpreter crash from `tf.io.decode_raw`
CVE-2021-29613 6.3 MEDIUM Incomplete validation in `tf.raw_ops.CTCLoss`
CVE-2021-29607 5.3 MEDIUM Incomplete validation in `SparseSparseMinimum`
CVE-2021-29608 5.3 MEDIUM Heap OOB and null pointer dereference in `RaggedTensorToTensor`
CVE-2021-29609 5.3 MEDIUM Incomplete validation in `SparseAdd`
CVE-2021-29571 4.5 MEDIUM Memory corruption in `DrawBoundingBoxesV2`
CVE-2021-29592 4.4 MEDIUM Null pointer dereference in TFLite's `Reshape` operator
CVE-2021-29610 3.6 LOW Invalid validation in `QuantizeAndDequantizeV2`
CVE-2021-29611 3.6 LOW Incomplete validation in `SparseReshape`
CVE-2021-29612 3.6 LOW Heap buffer overflow in `BandedTriangularSolve`
CVE-2021-29526 2.5 LOW Division by 0 in `Conv2D`
CVE-2021-29528 2.5 LOW Division by 0 in `QuantizedMul`
CVE-2021-29525 2.5 LOW Division by 0 in `Conv2DBackpropInput`
CVE-2021-29584 2.5 LOW CHECK-fail due to integer overflow
CVE-2021-29583 2.5 LOW Heap buffer overflow and undefined behavior in `FusedBatchNorm`
CVE-2021-29574 2.5 LOW Undefined behavior in `MaxPool3DGradGrad`
CVE-2021-29573 2.5 LOW Division by 0 in `MaxPoolGradWithArgmax`

Showing top 20 of 108 CVEs. View all on vendor page &rarr; →

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-190

V. Comments for CVE-2021-29601

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