CVE-2020-15208
6 advisories.
PyPI/tensorflow CVE-2020-15208: high 7.4, EPSS 0.91%
Data corruption in tensorflow-lite
Action: Upgrade tensorflow to 1.15.4 or later.
pip install tensorflow==1.15.4pip install tensorflow==2.0.3pip install tensorflow==2.1.2pip install tensorflow==2.2.1pip install tensorflow==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: GHSA-mxjj-953w-2c2v
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://nvd.nist.gov/vuln/detail/CVE-2020-15208
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-288.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-323.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-131.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON
PyPI/tensorflow-cpu CVE-2020-15208: high 7.4, EPSS 0.91%
Data corruption in tensorflow-lite
Action: Upgrade tensorflow-cpu to 1.15.4 or later.
pip install tensorflow-cpu==1.15.4pip install tensorflow-cpu==2.0.3pip install tensorflow-cpu==2.1.2pip install tensorflow-cpu==2.2.1pip install tensorflow-cpu==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: GHSA-mxjj-953w-2c2v#PyPI/tensorflow-cpu
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://nvd.nist.gov/vuln/detail/CVE-2020-15208
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-288.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-323.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-131.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON
PyPI/tensorflow-gpu CVE-2020-15208: high 7.4, EPSS 0.91%
Data corruption in tensorflow-lite
Action: Upgrade tensorflow-gpu to 1.15.4 or later.
pip install tensorflow-gpu==1.15.4pip install tensorflow-gpu==2.0.3pip install tensorflow-gpu==2.1.2pip install tensorflow-gpu==2.2.1pip install tensorflow-gpu==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: GHSA-mxjj-953w-2c2v#PyPI/tensorflow-gpu
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://nvd.nist.gov/vuln/detail/CVE-2020-15208
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-288.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-323.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-131.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON
PyPI/tensorflow CVE-2020-15208: unknown, EPSS 0.91%
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation
Action: Upgrade tensorflow to 1.15.4 or later.
pip install tensorflow==1.15.4pip install tensorflow==2.0.3pip install tensorflow==2.1.2pip install tensorflow==2.2.1pip install tensorflow==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: PYSEC-2020-131
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON
PyPI/tensorflow-cpu CVE-2020-15208: unknown, EPSS 0.91%
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation
Action: Upgrade tensorflow-cpu to 1.15.4 or later.
pip install tensorflow-cpu==1.15.4pip install tensorflow-cpu==2.0.3pip install tensorflow-cpu==2.1.2pip install tensorflow-cpu==2.2.1pip install tensorflow-cpu==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: PYSEC-2020-288
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON
PyPI/tensorflow-gpu CVE-2020-15208: unknown, EPSS 0.91%
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation
Action: Upgrade tensorflow-gpu to 1.15.4 or later.
pip install tensorflow-gpu==1.15.4pip install tensorflow-gpu==2.0.3pip install tensorflow-gpu==2.1.2pip install tensorflow-gpu==2.2.1pip install tensorflow-gpu==2.3.1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 1.15.4 | - |
| 2.0.0 | 2.0.3 | - |
| 2.1.0 | 2.1.2 | - |
| 2.2.0 | 2.2.1 | - |
| 2.3.0 | 2.3.1 | - |
Fixed versions
| 1.15.4 | 2.0.3 | 2.1.2 | 2.2.1 | 2.3.1 |
Sources
- osv: PYSEC-2020-323
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
CVE-2020-15208 · published · modified · JSON