| 0 |
| url |
VCID-1jte-hpg7-gydx |
| vulnerability_id |
VCID-1jte-hpg7-gydx |
| summary |
Incorrect Comparison
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25669 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
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0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42796 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
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0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4282 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42857 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42881 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4287 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25669 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25669, GHSA-rcf8-g8jv-vg6p
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-1jte-hpg7-gydx |
|
| 1 |
| url |
VCID-34ue-dphj-8ka5 |
| vulnerability_id |
VCID-34ue-dphj-8ka5 |
| summary |
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35963 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20176 |
| published_at |
2026-06-07T12:55:00Z |
|
| 1 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20216 |
| published_at |
2026-06-06T12:55:00Z |
|
| 2 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20223 |
| published_at |
2026-06-05T12:55:00Z |
|
| 3 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.2011 |
| published_at |
2026-06-08T12:55:00Z |
|
| 4 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20147 |
| published_at |
2026-06-04T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35963 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2022-35963, GHSA-84jm-4cf3-9jfm
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-34ue-dphj-8ka5 |
|
| 2 |
| url |
VCID-36ey-jnev-qqf8 |
| vulnerability_id |
VCID-36ey-jnev-qqf8 |
| summary |
Incorrect Comparison
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a floating point exception in AudioSpectrogram. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25666 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00054 |
| scoring_system |
epss |
| scoring_elements |
0.17098 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00054 |
| scoring_system |
epss |
| scoring_elements |
0.17056 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00054 |
| scoring_system |
epss |
| scoring_elements |
0.17135 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00054 |
| scoring_system |
epss |
| scoring_elements |
0.1717 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00054 |
| scoring_system |
epss |
| scoring_elements |
0.17174 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25666 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25666, GHSA-f637-vh3r-vfh2
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-36ey-jnev-qqf8 |
|
| 3 |
|
| 4 |
| url |
VCID-3jab-qtww-47eq |
| vulnerability_id |
VCID-3jab-qtww-47eq |
| summary |
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35960 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00208 |
| scoring_system |
epss |
| scoring_elements |
0.43285 |
| published_at |
2026-06-07T12:55:00Z |
|
| 1 |
| value |
0.00208 |
| scoring_system |
epss |
| scoring_elements |
0.43309 |
| published_at |
2026-06-06T12:55:00Z |
|
| 2 |
| value |
0.00208 |
| scoring_system |
epss |
| scoring_elements |
0.43299 |
| published_at |
2026-06-05T12:55:00Z |
|
| 3 |
| value |
0.00208 |
| scoring_system |
epss |
| scoring_elements |
0.4325 |
| published_at |
2026-06-08T12:55:00Z |
|
| 4 |
| value |
0.00208 |
| scoring_system |
epss |
| scoring_elements |
0.43227 |
| published_at |
2026-06-04T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35960 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
| 7 |
|
|
| fixed_packages |
|
| aliases |
CVE-2022-35960, GHSA-v5xg-3q2c-c2r4
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-3jab-qtww-47eq |
|
| 5 |
| url |
VCID-63yf-6n3f-uugw |
| vulnerability_id |
VCID-63yf-6n3f-uugw |
| summary |
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35959 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20176 |
| published_at |
2026-06-07T12:55:00Z |
|
| 1 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20216 |
| published_at |
2026-06-06T12:55:00Z |
|
| 2 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20223 |
| published_at |
2026-06-05T12:55:00Z |
|
| 3 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.2011 |
| published_at |
2026-06-08T12:55:00Z |
|
| 4 |
| value |
0.00064 |
| scoring_system |
epss |
| scoring_elements |
0.20147 |
| published_at |
2026-06-04T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2022-35959 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2022-35959, GHSA-wxjj-cgcx-r3vq
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-63yf-6n3f-uugw |
|
| 6 |
| url |
VCID-6f4y-m6ca-nyf6 |
| vulnerability_id |
VCID-6f4y-m6ca-nyf6 |
| summary |
NULL Pointer Dereference
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->step_containter()` is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25663 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42948 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42974 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4301 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4303 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.43022 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25663 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25663, GHSA-64jg-wjww-7c5w
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-6f4y-m6ca-nyf6 |
|
| 7 |
| url |
VCID-6yy3-r6mh-j3e8 |
| vulnerability_id |
VCID-6yy3-r6mh-j3e8 |
| summary |
NULL Pointer Dereference
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25665 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00125 |
| scoring_system |
epss |
| scoring_elements |
0.31244 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00125 |
| scoring_system |
epss |
| scoring_elements |
0.31211 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00125 |
| scoring_system |
epss |
| scoring_elements |
0.31243 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00125 |
| scoring_system |
epss |
| scoring_elements |
0.31278 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00125 |
| scoring_system |
epss |
| scoring_elements |
0.31312 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25665 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25665, GHSA-558h-mq8x-7q9g
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-6yy3-r6mh-j3e8 |
|
| 8 |
| url |
VCID-8nt4-mp8z-b3et |
| vulnerability_id |
VCID-8nt4-mp8z-b3et |
| summary |
Double Free
TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25801 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00088 |
| scoring_system |
epss |
| scoring_elements |
0.25139 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00088 |
| scoring_system |
epss |
| scoring_elements |
0.25112 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00088 |
| scoring_system |
epss |
| scoring_elements |
0.2517 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00088 |
| scoring_system |
epss |
| scoring_elements |
0.2522 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00088 |
| scoring_system |
epss |
| scoring_elements |
0.25235 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25801 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25801, GHSA-f49c-87jh-g47q
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-8nt4-mp8z-b3et |
|
| 9 |
| url |
VCID-b31k-j7yk-muhz |
| vulnerability_id |
VCID-b31k-j7yk-muhz |
| summary |
Heap-based Buffer Overflow
TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25668 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.01465 |
| scoring_system |
epss |
| scoring_elements |
0.81228 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.01465 |
| scoring_system |
epss |
| scoring_elements |
0.81251 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.01465 |
| scoring_system |
epss |
| scoring_elements |
0.81255 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.01465 |
| scoring_system |
epss |
| scoring_elements |
0.81258 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.01465 |
| scoring_system |
epss |
| scoring_elements |
0.81256 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25668 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25668, GHSA-gw97-ff7c-9v96
|
| risk_score |
4.5 |
| exploitability |
0.5 |
| weighted_severity |
9.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-b31k-j7yk-muhz |
|
| 10 |
| url |
VCID-c1qd-61t7-2fe3 |
| vulnerability_id |
VCID-c1qd-61t7-2fe3 |
| summary |
Integer Overflow or Wraparound
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25667 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00211 |
| scoring_system |
epss |
| scoring_elements |
0.43581 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00211 |
| scoring_system |
epss |
| scoring_elements |
0.43605 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00211 |
| scoring_system |
epss |
| scoring_elements |
0.43639 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00211 |
| scoring_system |
epss |
| scoring_elements |
0.43663 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00211 |
| scoring_system |
epss |
| scoring_elements |
0.43652 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25667 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25667, GHSA-fqm2-gh8w-gr68
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-c1qd-61t7-2fe3 |
|
| 11 |
| url |
VCID-cvdm-ubbq-63ew |
| vulnerability_id |
VCID-cvdm-ubbq-63ew |
| summary |
NULL Pointer Dereference
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25660 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47226 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47245 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47275 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47293 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47291 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25660 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25660, GHSA-qjqc-vqcf-5qvj
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-cvdm-ubbq-63ew |
|
| 12 |
| url |
VCID-dftm-vs4w-kfag |
| vulnerability_id |
VCID-dftm-vs4w-kfag |
| summary |
Heap-based Buffer Overflow
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25664 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.0009 |
| scoring_system |
epss |
| scoring_elements |
0.25581 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.0009 |
| scoring_system |
epss |
| scoring_elements |
0.25568 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.0009 |
| scoring_system |
epss |
| scoring_elements |
0.25626 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.0009 |
| scoring_system |
epss |
| scoring_elements |
0.25674 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.0009 |
| scoring_system |
epss |
| scoring_elements |
0.25683 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25664 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25664, GHSA-6hg6-5c2q-7rcr
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-dftm-vs4w-kfag |
|
| 13 |
| url |
VCID-ev9c-cxzc-p7hb |
| vulnerability_id |
VCID-ev9c-cxzc-p7hb |
| summary |
Integer Overflow or Wraparound
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 is vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25662 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00151 |
| scoring_system |
epss |
| scoring_elements |
0.35456 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00151 |
| scoring_system |
epss |
| scoring_elements |
0.35485 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00151 |
| scoring_system |
epss |
| scoring_elements |
0.35524 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00151 |
| scoring_system |
epss |
| scoring_elements |
0.35562 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00151 |
| scoring_system |
epss |
| scoring_elements |
0.35551 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25662 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25662, GHSA-7jvm-xxmr-v5cw
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-ev9c-cxzc-p7hb |
|
| 14 |
| url |
VCID-h18h-987d-q7he |
| vulnerability_id |
VCID-h18h-987d-q7he |
| summary |
Incorrect Comparison
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-27579 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4287 |
| published_at |
2026-06-05T12:55:00Z |
|
| 1 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4282 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42857 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42881 |
| published_at |
2026-06-06T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-27579 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-27579, GHSA-5w96-866f-6rm8
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-h18h-987d-q7he |
|
| 15 |
| url |
VCID-j7jy-3r33-x7fy |
| vulnerability_id |
VCID-j7jy-3r33-x7fy |
| summary |
NULL Pointer Dereference
TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25674 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00391 |
| scoring_system |
epss |
| scoring_elements |
0.60404 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00391 |
| scoring_system |
epss |
| scoring_elements |
0.60426 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00391 |
| scoring_system |
epss |
| scoring_elements |
0.60443 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00391 |
| scoring_system |
epss |
| scoring_elements |
0.60454 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00391 |
| scoring_system |
epss |
| scoring_elements |
0.60451 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25674 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25674, GHSA-gf97-q72m-7579
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-j7jy-3r33-x7fy |
|
| 16 |
| url |
VCID-jswv-zqu6-efee |
| vulnerability_id |
VCID-jswv-zqu6-efee |
| summary |
TensorFlow Denial of Service vulnerability
### Impact
A malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack.
To minimize the bug, we built a simple single-layer TensorFlow model containing a Convolution3DTranspose layer, which works well with expected inputs and can be deployed in real-world systems. However, if we call the model with a malicious input which has a zero dimension, it gives Check Failed failure and crashes.
```python
import tensorflow as tf
class MyModel(tf.keras.Model):
def __init__(self):
super().__init__()
self.conv = tf.keras.layers.Convolution3DTranspose(2, [3,3,3], padding="same")
def call(self, input):
return self.conv(input)
model = MyModel() # Defines a valid model.
x = tf.random.uniform([1, 32, 32, 32, 3], minval=0, maxval=0, dtype=tf.float32) # This is a valid input.
output = model.predict(x)
print(output.shape) # (1, 32, 32, 32, 2)
x = tf.random.uniform([1, 32, 32, 0, 3], dtype=tf.float32) # This is an invalid input.
output = model(x) # crash
```
This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services.
### Patches
We have patched the issue in
- GitHub commit [948fe6369a5711d4b4568ea9bbf6015c6dfb77e2](https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2)
- GitHub commit [85db5d07db54b853484bfd358c3894d948c36baf](https://github.com/keras-team/keras/commit/85db5d07db54b853484bfd358c3894d948c36baf).
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25661 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00163 |
| scoring_system |
epss |
| scoring_elements |
0.37103 |
| published_at |
2026-06-05T12:55:00Z |
|
| 1 |
| value |
0.00163 |
| scoring_system |
epss |
| scoring_elements |
0.3704 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00163 |
| scoring_system |
epss |
| scoring_elements |
0.37079 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00163 |
| scoring_system |
epss |
| scoring_elements |
0.37111 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00163 |
| scoring_system |
epss |
| scoring_elements |
0.37012 |
| published_at |
2026-06-04T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25661 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25661, GHSA-fxgc-95xx-grvq
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-jswv-zqu6-efee |
|
| 17 |
| url |
VCID-mj52-z2qy-4bd8 |
| vulnerability_id |
VCID-mj52-z2qy-4bd8 |
| summary |
NULL Pointer Dereference
TensorFlow is an open source platform for machine learning. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25672 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00105 |
| scoring_system |
epss |
| scoring_elements |
0.28126 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00105 |
| scoring_system |
epss |
| scoring_elements |
0.28063 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00105 |
| scoring_system |
epss |
| scoring_elements |
0.28107 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00105 |
| scoring_system |
epss |
| scoring_elements |
0.28147 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00105 |
| scoring_system |
epss |
| scoring_elements |
0.28197 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25672 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25672, GHSA-94mm-g2mv-8p7r
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-mj52-z2qy-4bd8 |
|
| 18 |
| url |
VCID-mkr8-shuu-1qhk |
| vulnerability_id |
VCID-mkr8-shuu-1qhk |
| summary |
Out-of-bounds Write
TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25671 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00318 |
| scoring_system |
epss |
| scoring_elements |
0.55192 |
| published_at |
2026-06-08T12:55:00Z |
|
| 1 |
| value |
0.00318 |
| scoring_system |
epss |
| scoring_elements |
0.55155 |
| published_at |
2026-06-04T12:55:00Z |
|
| 2 |
| value |
0.00318 |
| scoring_system |
epss |
| scoring_elements |
0.55213 |
| published_at |
2026-06-05T12:55:00Z |
|
| 3 |
| value |
0.00318 |
| scoring_system |
epss |
| scoring_elements |
0.5522 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00318 |
| scoring_system |
epss |
| scoring_elements |
0.55211 |
| published_at |
2026-06-07T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25671 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
| 7 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25671, GHSA-j5w9-hmfh-4cr6
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-mkr8-shuu-1qhk |
|
| 19 |
| url |
VCID-q2hk-yjnj-jbfb |
| vulnerability_id |
VCID-q2hk-yjnj-jbfb |
| summary |
NULL Pointer Dereference
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25676 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47226 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47245 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47275 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47293 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47291 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25676 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25676, GHSA-6wfh-89q8-44jq
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-q2hk-yjnj-jbfb |
|
| 20 |
| url |
VCID-qh3y-aeak-u3hg |
| vulnerability_id |
VCID-qh3y-aeak-u3hg |
| summary |
Out-of-bounds Read
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25659 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00204 |
| scoring_system |
epss |
| scoring_elements |
0.4248 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00204 |
| scoring_system |
epss |
| scoring_elements |
0.42502 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00204 |
| scoring_system |
epss |
| scoring_elements |
0.42537 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00204 |
| scoring_system |
epss |
| scoring_elements |
0.42564 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00204 |
| scoring_system |
epss |
| scoring_elements |
0.42554 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25659 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25659, GHSA-93vr-9q9m-pj8p
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-qh3y-aeak-u3hg |
|
| 21 |
| url |
VCID-upnq-6wx8-gug8 |
| vulnerability_id |
VCID-upnq-6wx8-gug8 |
| summary |
Incorrect Comparison
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25673 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.0028 |
| scoring_system |
epss |
| scoring_elements |
0.51571 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.0028 |
| scoring_system |
epss |
| scoring_elements |
0.51583 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.0028 |
| scoring_system |
epss |
| scoring_elements |
0.51616 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.0028 |
| scoring_system |
epss |
| scoring_elements |
0.51637 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.0028 |
| scoring_system |
epss |
| scoring_elements |
0.51631 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25673 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25673, GHSA-647v-r7qq-24fh
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-upnq-6wx8-gug8 |
|
| 22 |
| url |
VCID-v68f-q5vf-wkf5 |
| vulnerability_id |
VCID-v68f-q5vf-wkf5 |
| summary |
Incorrect Comparison
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25675 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42796 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4282 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42857 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.42881 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00206 |
| scoring_system |
epss |
| scoring_elements |
0.4287 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25675 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25675, GHSA-7x4v-9gxg-9hwj
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-v68f-q5vf-wkf5 |
|
| 23 |
| url |
VCID-w5vq-nwu5-pken |
| vulnerability_id |
VCID-w5vq-nwu5-pken |
| summary |
NULL Pointer Dereference
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25670 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47226 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47245 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47275 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47293 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.0024 |
| scoring_system |
epss |
| scoring_elements |
0.47291 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25670 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25670, GHSA-49rq-hwc3-x77w
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-w5vq-nwu5-pken |
|
| 24 |
| url |
VCID-xej2-7wvk-xuec |
| vulnerability_id |
VCID-xej2-7wvk-xuec |
| summary |
Out-of-bounds Read
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out-of-bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1. |
| references |
| 0 |
| reference_url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25658 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
0.00053 |
| scoring_system |
epss |
| scoring_elements |
0.16963 |
| published_at |
2026-06-04T12:55:00Z |
|
| 1 |
| value |
0.00053 |
| scoring_system |
epss |
| scoring_elements |
0.1692 |
| published_at |
2026-06-08T12:55:00Z |
|
| 2 |
| value |
0.00053 |
| scoring_system |
epss |
| scoring_elements |
0.17002 |
| published_at |
2026-06-07T12:55:00Z |
|
| 3 |
| value |
0.00053 |
| scoring_system |
epss |
| scoring_elements |
0.17037 |
| published_at |
2026-06-06T12:55:00Z |
|
| 4 |
| value |
0.00053 |
| scoring_system |
epss |
| scoring_elements |
0.17042 |
| published_at |
2026-06-05T12:55:00Z |
|
|
| url |
https://api.first.org/data/v1/epss?cve=CVE-2023-25658 |
|
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
|
| fixed_packages |
|
| aliases |
CVE-2023-25658, GHSA-68v3-g9cm-rmm6
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-xej2-7wvk-xuec |
|