Vulnerability Details : 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 modeling.
Products affected by CVE-2020-25459
- Webank » Federated Ai Technology EnablerVersions from including (>=) 0.1 and up to, including, (<=) 1.4.2cpe:2.3:a:webank:federated_ai_technology_enabler:*:*:*:*:*:*:*:*
Exploit prediction scoring system (EPSS) score for CVE-2020-25459
0.09%
Probability of exploitation activity in the next 30 days
EPSS Score History
~ 22 %
Percentile, the proportion of vulnerabilities that are scored at or less
CVSS scores for CVE-2020-25459
| Base Score | Base Severity | CVSS Vector | Exploitability Score | Impact Score | Score Source | First Seen |
|---|---|---|---|---|---|---|
|
5.0
|
MEDIUM | AV:N/AC:L/Au:N/C:P/I:N/A:N |
10.0
|
2.9
|
NIST | |
|
7.5
|
HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N |
3.9
|
3.6
|
NIST |
CWE ids for CVE-2020-25459
-
The product exposes a resource to the wrong control sphere, providing unintended actors with inappropriate access to the resource.Assigned by: nvd@nist.gov (Primary)
References for CVE-2020-25459
-
https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139
remove sensitive info of guest sending to host · FederatedAI/FATE@6feccf6 · GitHubPatch;Third Party Advisory
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