How severe is CVE-2021-37683?

CVE-2021-37683 has a CVSS 3.x base score of 5.5, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.

Is CVE-2021-37683 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (5th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2021-37683?

CVE-2021-37683 primarily affects Google Tensorflow. In total, 5 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.

How do I fix CVE-2021-37683?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

When was CVE-2021-37683 published?

CVE-2021-37683 was published on 2021-08-12 and last updated on 2026-06-17.

CVE-2021-37683

CVE-2021-37683 is a medium-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 5.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-369.

Key facts

Severity: Medium (CVSS 3.x base score 5.5)
CVSS v2: 2.1
EPSS exploit prediction: 0% (5th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-369
Affected product: Google Tensorflow
Published: 2021-08-12
Last modified: 2026-06-17

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Frequently asked questions

What is CVE-2021-37683?: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
How severe is CVE-2021-37683?: CVE-2021-37683 has a CVSS 3.x base score of 5.5, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
Is CVE-2021-37683 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (5th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2021-37683?: CVE-2021-37683 primarily affects Google Tensorflow. In total, 5 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.
How do I fix CVE-2021-37683?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2021-37683 published?: CVE-2021-37683 was published on 2021-08-12 and last updated on 2026-06-17.

References

Affected products (5)

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*

More vulnerabilities in Google Tensorflow

CVE-2023-25668 — Critical (CVSS 9.8): TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can…
CVE-2018-7575 — Critical (CVSS 9.8): Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is…
CVE-2021-37678 — Critical (CVSS 9.3): TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be…
CVE-2021-35958 — Critical (CVSS 9.1): TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when…
CVE-2020-15206 — Critical (CVSS 9.0): In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol…
CVE-2020-15205 — Critical (CVSS 9.0): In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of…

All CVEs affecting Google Tensorflow →

Other CWE-369 (Divide By Zero) vulnerabilities

CVE-2021-32494 — Critical (CVSS 10.0): Radare2 has a division by zero vulnerability in Mach-O parser's rebase_buffer function. This allow attackers to create…
CVE-2017-11720 — Critical (CVSS 9.8): There is a division-by-zero vulnerability in LAME 3.99.5, caused by a malformed input file.
CVE-2020-20892 — High (CVSS 8.8): An issue was discovered in function filter_frame in libavfilter/vf_lenscorrection.c in Ffmpeg 4.2.1, allows attackers…
CVE-2025-4637 — High (CVSS 8.7): Divide By Zero vulnerability in davisking dlib allows remote attackers to cause a denial of service via a crafted…
CVE-2026-37232 — High (CVSS 8.6): An issue was discovered in OpenAirInterface5G 2.4.0 (nr-softmodem) in the E2SM-KPM RAN Function's PRB utilization…
CVE-2024-26945 — High (CVSS 8.4): In the Linux kernel, the following vulnerability has been resolved: crypto: iaa - Fix nr_cpus < nr_iaa case If…

Browse all CWE-369 (Divide By Zero) vulnerabilities →