Technology · PyPI
tensorflow-gpu (PyPI) vulnerabilities
Updated . Rebuilt every hour.
Junglewise Threat Intelligence has tracked 421 vulnerabilities in tensorflow-gpu (PyPI): 0 in the last 7 days and 179 in the last 90 days, 0 of them critical and 0 exploited in the wild. The most recent, CVE-2023-33976, was published on 13 July 2026.
- Last 7 days
- 0
- Last 90 days
- 179
- Critical, all time
- 0
- Exploited in the wild
- 0
Latest tensorflow-gpu (PyPI) vulnerabilities
- CVE-2023-33976: PYSEC-2026-3331 - TensorFlow has segfault in array_ops.upper_boundlowCVSS 3.1EPSS 0.4%
- CVE-2023-25659: PYSEC-2026-3300 - TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitchlowCVSS 3.1EPSS 0.4%
- CVE-2023-25660: PYSEC-2026-3362 - TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`lowCVSS 3.1EPSS 0.4%
- CVE-2023-25662: PYSEC-2026-3293 - TensorFlow vulnerable to integer overflow in EditDistancelowCVSS 3.1EPSS 0.4%
- CVE-2023-25663: PYSEC-2026-3282 - TensorFlow has Null Pointer Error in TensorArrayConcatV2lowCVSS 3.1EPSS 0.4%
- CVE-2023-25665: PYSEC-2026-3276 - TensorFlow has Null Pointer Error in SparseSparseMaximumlowCVSS 3.1EPSS 0.4%
- CVE-2023-25666: PYSEC-2026-3317 - TensorFlow has Floating Point Exception in AudioSpectrogramlowCVSS 3.1EPSS 0.4%
- CVE-2023-25667: PYSEC-2026-3321 - TensorFlow vulnerable to segfault when opening multiframe giflowCVSS 3.1EPSS 0.3%
- CVE-2023-25669: PYSEC-2026-3366 - TensorFlow has Floating Point Exception in AvgPoolGrad with XLAlowCVSS 3.1EPSS 0.4%
- CVE-2023-25670: PYSEC-2026-3271 - TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantizelowCVSS 3.1EPSS 0.4%
- CVE-2022-41909: PYSEC-2026-3368 - Segfault in `CompositeTensorVariantToComponents`lowCVSS 3.1EPSS 0.5%
- CVE-2022-41908: PYSEC-2026-3353 - `CHECK` fail via inputs in `PyFunc`lowCVSS 3.1EPSS 0.5%
- CVE-2022-41900: PYSEC-2026-3383 - FractionalMaxPool and FractionalAVGPool heap out-of-bounds acesslowCVSS 3.1EPSS 0.6%
- CVE-2022-41898: PYSEC-2026-3340 - `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`lowCVSS 3.1EPSS 0.5%
- CVE-2022-41896: PYSEC-2026-3369 - `tf.raw_ops.Mfcc` crasheslowCVSS 3.1EPSS 0.5%
- CVE-2022-41895: PYSEC-2026-3332 - `MirrorPadGrad` heap out of bounds readlowCVSS 3.1EPSS 0.5%
- CVE-2022-41890: PYSEC-2026-3333 - `CHECK` fail in `BCast` overflowlowCVSS 3.1EPSS 0.5%
- CVE-2022-41889: PYSEC-2026-3384 - Segfault via invalid attributes in `pywrap_tfe_src.cc`lowCVSS 3.1EPSS 0.4%
- CVE-2022-41884: PYSEC-2026-3345 - Seg fault in `ndarray_tensor_bridge` due to zero and large inputslowCVSS 3.1EPSS 0.4%
- CVE-2022-41883: PYSEC-2026-3376 - Out of bounds segmentation fault due to unequal op inputs in TensorflowlowCVSS 3.1EPSS 0.4%
- CVE-2022-35983: PYSEC-2026-3349 - TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`lowCVSS 3.1EPSS 0.5%
- CVE-2022-35984: PYSEC-2026-3355 - TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`lowCVSS 3.1EPSS 0.5%
- CVE-2022-35989: PYSEC-2026-3343 - TensorFlow vulnerable to `CHECK` fail in `MaxPool`lowCVSS 3.1EPSS 0.5%
- CVE-2022-35981: PYSEC-2026-3375 - TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`lowCVSS 3.1EPSS 0.5%
- CVE-2022-35979: PYSEC-2026-3372 - TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`lowCVSS 3.1EPSS 0.5%
Most severe tensorflow-gpu (PyPI) vulnerabilities
Exploited in the wild first, then by severity and CVSS score.
- CVE-2020-15202: PYSEC-2020-317 - In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow…lowCVSS 3.1EPSS 1.3%
- CVE-2020-15207: PYSEC-2020-322 - In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with…lowCVSS 3.1EPSS 1.2%
- CVE-2022-23559: PYSEC-2026-3146 - Integer overflow in TFLitelowCVSS 3.1EPSS 1.2%
- CVE-2022-23581: PYSEC-2026-3175 - `CHECK`-failures during Grappler's `IsSimplifiableReshape` in TensorflowlowCVSS 3.1EPSS 1.2%
- CVE-2022-21728: PYSEC-2026-3121 - Out of bounds read in TensorflowlowCVSS 3.1EPSS 1.1%
- CVE-2022-23567: PYSEC-2026-3240 - Integer overflows in TensorflowlowCVSS 3.1EPSS 1.1%
- CVE-2022-23589: PYSEC-2026-3154 - Null pointer dereference in Grappler's `IsConstant`lowCVSS 3.1EPSS 1.1%
- CVE-2020-15194: PYSEC-2020-309 - In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad`…lowCVSS 3.1EPSS 1.0%
- CVE-2020-15205: PYSEC-2020-320 - 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…lowCVSS 3.1EPSS 1.0%
- CVE-2022-23570: PYSEC-2026-3153 - Null-dereference in TensorflowlowCVSS 3.1EPSS 1.0%
Vulnerabilities per week
The last 13 weeks, by the week each vulnerability was published.
| Week of | Bar | Vulns | Critical |
|---|---|---|---|
| 29 Jun 2026 | 2 | 0 | |
| 6 Jul 2026 | 130 | 0 | |
| 13 Jul 2026 | 47 | 0 | |
| 20 Jul 2026 | 0 | 0 | |
| 27 Jul 2026 | 0 | 0 | |
| 3 Aug 2026 | 0 | 0 | |
| 10 Aug 2026 | 0 | 0 | |
| 17 Aug 2026 | 0 | 0 | |
| 24 Aug 2026 | 0 | 0 | |
| 31 Aug 2026 | 0 | 0 | |
| 7 Sep 2026 | 0 | 0 | |
| 14 Sep 2026 | 0 | 0 | |
| 21 Sep 2026 | 0 | 0 |
How this is built
Junglewise Threat Intelligence collects vulnerabilities from NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories, and matches each one to the technologies and vendors it affects. Dates are the date a vulnerability was published, in UTC.
The pages are rebuilt from the database every hour. Frozen weekly and monthly reports never change once published, so they can be cited.
Use this data
The same data is at https://junglewise.ai/threats/technologies/tensorflow-gpu.json, for scripts and language models. It is free to reuse under CC BY 4.0 with a link back to this page.
Cite as: Junglewise Threat Intelligence, "tensorflow-gpu (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/tensorflow-gpu, 26 September 2026.