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CVE-2020-25459

An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE ...

7.5 HighFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
None
Availability
None

Exploit likelihood

1.04%Up 0.2 points since Jun 17, 2022
90%50%10%1%

What each source reports

NVD Score used 7.5

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.

Record
CVE-2020-25459
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CVSS 2.0
5.0 MediumAV:N/AC:L/Au:N/C:P/I:N/A:N
Weakness
CWE-668
Updated
2026-11-02
CVE List No score

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.

Record
CVE-2020-25459
Updated
2026-11-02
EUVDEUVD-2020-18145 No score

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.

Record
EUVD-2020-18145
Updated
2026-11-03
GitHub AdvisoriesGHSA-72c2-p2mr-mqr3 7.5

An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE ...

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.

Record
GHSA-72c2-p2mr-mqr3
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Weakness
CWE-668
Updated
2026-11-02
OSV 7.5

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.

Record
CVE-2020-25459
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Updated
2026-11-02
OSVMGASA-2021-0049 No score

Updated crmsh packages fix security vulnerability

The crm configure and hb_report commands failed to sanitize sensitive information by default (bsc#1163581).

An issue was discovered in ClusterLabs crmsh through 4.2.1. Local attackers able to call "crm history" (when "crm" is run) were able to execute commands via shell code injection to the crm history commandline, potentially allowing escalation of privileges (CVE-2020-25459).

The crmsh package has been updated to the latest git snapshot and patched for CVE-2020-25459, fixing these issues and several others.

Record
MGASA-2021-0049
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
crmsh
Mageia:7
before 4.2.0-0.39d42c2.1.1.mga7
4.2.0-0.39d42c2.1.1.mga7

History

History
RecordedChangedSources
aliasesEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2020-25459 is a high vulnerability (CVSS 7.5) in Webank Federated Ai Technology Enabler, published January 22, 2021. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 1.04%, the 64th percentile. Fixed in crmsh 4.2.0-0.39d42c2.1.1.mga7.

References

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