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CVE-2021-29554— Division by 0 in `DenseCountSparseOutput`

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存在数字错误漏洞,攻击者可利用该漏洞可以通过tf.raw_ops.DenseCountSparseOutput的FPE运行时错误导致拒绝服务。

CVSS 2.5 · Low EPSS 0.19% · P9

Possible ATT&CK Techniques 1 AI

T1499 · Endpoint Denial of Service
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I. Basic Information for CVE-2021-29554

Vulnerability Information

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Vulnerability Title
Division by 0 in `DenseCountSparseOutput`
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
除零错误
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 数字错误漏洞
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存在数字错误漏洞,攻击者可利用该漏洞可以通过tf.raw_ops.DenseCountSparseOutput的FPE运行时错误导致拒绝服务。
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 < 2.3.3 -

II. Public POCs for CVE-2021-29554

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III. Intelligence Information for CVE-2021-29554

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Patches & Fixes for CVE-2021-29554 (1)

Vendor Advisories for CVE-2021-29554 (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-2021-29601 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-2021-29612 3.6 LOW Heap buffer overflow in `BandedTriangularSolve`
CVE-2021-29611 3.6 LOW Incomplete validation in `SparseReshape`
CVE-2021-29610 3.6 LOW Invalid validation in `QuantizeAndDequantizeV2`
CVE-2021-29525 2.5 LOW Division by 0 in `Conv2DBackpropInput`
CVE-2021-29527 2.5 LOW Division by 0 in `QuantizedConv2D`
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-2021-29582 2.5 LOW Heap OOB read in `tf.raw_ops.Dequantize`
CVE-2021-29572 2.5 LOW Reference binding to nullptr in `SdcaOptimizer`

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

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