Goal Reached Thanks to every supporter — we hit 100%!

Goal: 1000 CNY · Raised: 1336 CNY

100%

CVE-2021-41196— Crash in `max_pool3d` when size argument is 0 or negative

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。 Google TensorFlow 存在数字错误漏洞,该漏洞源于 TensorFlow 实现了池化操作,其中滑动窗口中的值没有被严格检查为正数。

CVSS 5.5 · Medium EPSS 0.24% · P15

Possible ATT&CK Techniques 1 AI

T1496 · Resource Hijacking
Get alerts for future matching vulnerabilities Log in to subscribe

I. Basic Information for CVE-2021-41196

Vulnerability Information

Have questions about the vulnerability? See if Shenlong's analysis helps!
View Shenlong Deep Dive ↗

Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.

Vulnerability Title
Crash in `max_pool3d` when size argument is 0 or negative
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
整数下溢(超界折返)
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。 Google TensorFlow 存在数字错误漏洞,该漏洞源于 TensorFlow 实现了池化操作,其中滑动窗口中的值没有被严格检查为正数。
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 >= 2.6.0, < 2.6.1 -

II. Public POCs for CVE-2021-41196

# POC Description Source Link Shenlong Link
AI-Generated POC Premium

No public POC found.

Login to generate AI POC

III. Intelligence Information for CVE-2021-41196

登录查看更多情报信息。

Patches & Fixes for CVE-2021-41196 (1)

Vendor Advisories for CVE-2021-41196 (1)

Other References for CVE-2021-41196 (1)

Same Patch Batch · tensorflow · 2021-11-05 · 34 CVEs total

CVE-2021-41208 8.8 HIGH Incomplete validation in boosted trees code
CVE-2021-41220 7.8 HIGH Use after free in `CollectiveReduceV2`
CVE-2021-41221 7.8 HIGH Access to invalid memory during shape inference in `Cudnn*` ops
CVE-2021-41214 7.8 HIGH Reference binding to `nullptr` in `tf.ragged.cross`
CVE-2021-41219 7.8 HIGH Undefined behavior via `nullptr` reference binding in sparse matrix multiplication
CVE-2021-41201 7.8 HIGH Unitialized access in `EinsumHelper::ParseEquation`
CVE-2021-41203 7.8 HIGH Missing validation during checkpoint loading
CVE-2021-41228 7.5 HIGH Code injection in `saved_model_cli`
CVE-2021-41224 7.1 HIGH `SparseFillEmptyRows` heap OOB read
CVE-2021-41223 7.1 HIGH Heap OOB read in `FusedBatchNorm` kernels
CVE-2021-41226 7.1 HIGH Heap OOB read in `SparseBinCount`
CVE-2021-41212 7.1 HIGH Heap OOB read in `tf.ragged.cross`
CVE-2021-41211 7.1 HIGH Heap OOB read in shape inference for `QuantizeV2`
CVE-2021-41205 7.1 HIGH Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops
CVE-2021-41210 7.1 HIGH Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`
CVE-2021-41206 7.0 HIGH Incomplete validation of shapes in multiple TF ops
CVE-2021-41227 6.6 MEDIUM Arbitrary memory read in `ImmutableConst`
CVE-2021-41200 5.5 MEDIUM Incomplete validation in `tf.summary.create_file_writer`
CVE-2021-41197 5.5 MEDIUM Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes
CVE-2021-41198 5.5 MEDIUM Overflow/crash in `tf.tile` when tiling tensor is large

Showing top 20 of 34 CVEs. View all on vendor page &rarr; →

IV. Related Vulnerabilities

V. Comments for CVE-2021-41196

No comments yet


Leave a comment