Unity-Technologies / datasetinsights

Synthetic Dataset Insights
Apache License 2.0
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[Snyk] Fix for 9 vulnerabilities #215

Open snyk-bot opened 2 years ago

snyk-bot commented 2 years ago

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

⚠️ Warning ``` Sphinx 1.8.6 has requirement docutils<0.18,>=0.11, but you have docutils 0.18.1. sphinx-rtd-theme 0.5.2 has requirement docutils<0.17, but you have docutils 0.18.1. ```

Vulnerabilities that will be fixed

By pinning:
Severity Issue Upgrade Breaking Change Exploit Maturity
medium severity Incorrect Access Control
SNYK-PYTHON-DASK-1767103
dask:
2.30.0 -> 2021.10.0
No No Known Exploit
low severity NULL Pointer Dereference
SNYK-PYTHON-NUMPY-2321964
numpy:
1.21.3 -> 1.22.2
No Proof of Concept
low severity Buffer Overflow
SNYK-PYTHON-NUMPY-2321966
numpy:
1.21.3 -> 1.22.2
No No Known Exploit
low severity Denial of Service (DoS)
SNYK-PYTHON-NUMPY-2321970
numpy:
1.21.3 -> 1.22.2
No Proof of Concept
medium severity Denial of Service (DoS)
SNYK-PYTHON-PILLOW-2329135
pillow:
8.4.0 -> 9.0.1
No No Known Exploit
critical severity Arbitrary Code Execution
SNYK-PYTHON-PILLOW-2331901
pillow:
8.4.0 -> 9.0.1
No No Known Exploit
medium severity Buffer Over-read
SNYK-PYTHON-PILLOW-2331905
pillow:
8.4.0 -> 9.0.1
No No Known Exploit
medium severity Improper Initialization
SNYK-PYTHON-PILLOW-2331907
pillow:
8.4.0 -> 9.0.1
No No Known Exploit
medium severity Improper Input Validation
SNYK-PYTHON-PILLOW-2397241
pillow:
8.4.0 -> 9.0.1
No No Known Exploit

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.


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