DerwenAI / kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
https://derwen.ai/docs/kgl/
MIT License
581 stars 66 forks source link

[Snyk] Security upgrade pygments from 2.5.2 to 2.7.4 #147

Closed snyk-bot closed 3 years ago

snyk-bot commented 3 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 ``` traitlets 4.3.3 requires decorator, which is not installed. networkx 2.2 requires decorator, which is not installed. ipython 5.10.0 requires decorator, which is not installed. icecream 2.1.0 requires executing, which is not installed. gensim 3.8.3 has requirement numpy<=1.16.1, but you have numpy 1.16.6. ```

Vulnerabilities that will be fixed

By pinning:
Severity Priority Score (*) Issue Upgrade Breaking Change Exploit Maturity
high severity 661/1000
Why? Recently disclosed, Has a fix available, CVSS 7.5
Regular Expression Denial of Service (ReDoS)
SNYK-PYTHON-PYGMENTS-1086606
pygments:
2.5.2 -> 2.7.4
No No Known Exploit
high severity 661/1000
Why? Recently disclosed, Has a fix available, CVSS 7.5
Denial of Service (DoS)
SNYK-PYTHON-PYGMENTS-1088505
pygments:
2.5.2 -> 2.7.4
No No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

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.


Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

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