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CVE-2021-29560— Heap buffer overflow in `RaggedTensorToTensor`

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 存在缓冲区错误漏洞，攻击者可利用该漏洞导致缓冲区溢出。

CVSS 2.5 · Low EPSS 0.21% · P11

Possible ATT&CK Techniques 1 AI

T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2021-29560

Vulnerability Information
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Vulnerability Title
Heap buffer overflow in `RaggedTensorToTensor`
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 heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel. Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`. 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:N/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 2.4.2,2.3.3,2.2.3，2.1.4 存在缓冲区错误漏洞，攻击者可利用该漏洞导致缓冲区溢出。
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 < 2.1.4 -

II. Public POCs for CVE-2021-29560

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III. Intelligence Information for CVE-2021-29560

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Patches & Fixes for CVE-2021-29560 (1)

Vendor Advisories for CVE-2021-29560 (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-2021-29526 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-2021-29573 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-125