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CVE-2021-29591— Stack overflow due to looping TFLite subgraph

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存在安全漏洞,该漏洞源于TFlite图的节点之间不能有循环。

CVSS 7.3 · High EPSS 0.26% · P18

Possible ATT&CK Techniques 1 AI

T1068 · Exploitation for Privilege Escalation
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I. Basic Information for CVE-2021-29591

Vulnerability Information

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Vulnerability Title
Stack overflow due to looping TFLite subgraph
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. 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. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
不可达退出条件的循环(无限循环)
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 安全漏洞
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存在安全漏洞,该漏洞源于TFlite图的节点之间不能有循环。
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-2021-29591

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III. Intelligence Information for CVE-2021-29591

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Patches & Fixes for CVE-2021-29591 (2)

Vendor Advisories for CVE-2021-29591 (1)

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

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-2021-29601 6.3 MEDIUM Integer overflow in TFLite concatentation
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-2021-29527 2.5 LOW Division by 0 in `QuantizedConv2D`
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; →

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