CVE-2020-25459
An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE (Federated AI Technology Enabler) 0.1 through 1.4.2 allows attackers to read sensitive information during the training process of machine learning joint…
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (1.00%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE (Federated AI Technology Enabler) 0.1 through 1.4.2 allows attackers to read sensitive information during the training process of machine learning joint modeling.
- CVSS 3.1
- 7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- EPSS
- 1.00% probability · 61th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-668
- Affected
- webank/federated ai technology enabler
- Source
- cve@mitre.org
References
- https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139Patch, Third Party Advisory
- https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139Patch, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.