Elastic Sharepoint Online Python Connector vulnerabilitiesRanked by how likely they are to be used.
Elastic Sharepoint Online Python Connector is made by Elastic. We track 1 published vulnerability in it, across 1 version. None of them is on the list of flaws known to be exploited today. If you run Elastic Sharepoint Online Python Connector, keep it on a version the vendor still supports.
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Which Elastic Sharepoint Online Python Connector vulnerabilities are being exploited?
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None of Elastic Sharepoint Online Python Connector's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Elastic Sharepoint Online Python Connector flaws are most likely to be used?
Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.
- 0.4%CVE-2023-46666Medium
An issue was discovered when using Document Level Security and the SPO "Limited Access" functionality in Elastic Sharepoint Online Python Connector.
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1 new flaw affects software Acme tracks
An issue was discovered when using Document Level Security and the SPO "Limited Access" functionality in Elastic Sharepoint Online Python Connector. If a user is assigned limited access permissions to an item on a Sharepoint site then that user would have read permissions to all content on the Sharepoint site through Elasticsearch.
- Matched to
- Elastic Sharepoint Online Python Connector on Acme's software list
- What to do
- Plan in the vendor’s update
Sent to the alert recipients Acme chose. Also in the app and to Acme's webhook.
We track 1 published vulnerability listed under the name Elastic Sharepoint Online Python Connector, across 1 version.
None of Elastic Sharepoint Online Python Connector's vulnerabilities is on the list of flaws known to be exploited today.
Create a Precursor Intelligence account and track Elastic Sharepoint Online Python Connector. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.