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CVE-2021-29512— Heap buffer overflow in `RaggedBinCount`

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 存在安全漏洞,该漏洞源于如果RaggedBincount 的split 参数没有指定一个有效的 SparseTensor ,那么攻击者可利用该漏洞就可以触发堆缓冲区溢出。

CVSS 2.5 · Low EPSS 0.21% · P10

Possible ATT&CK Techniques 1 AI

T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2021-29512

Vulnerability Information

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Vulnerability Title
Heap buffer overflow in `RaggedBinCount`
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. 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
未进行输入大小检查的缓冲区拷贝(传统缓冲区溢出)
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 2.4.2,2.3.3 存在安全漏洞,该漏洞源于如果RaggedBincount 的split 参数没有指定一个有效的 SparseTensor ,那么攻击者可利用该漏洞就可以触发堆缓冲区溢出。
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, < 2.3.3 -

II. Public POCs for CVE-2021-29512

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III. Intelligence Information for CVE-2021-29512

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Patches & Fixes for CVE-2021-29512 (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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