How severe is CVE-2020-25459?

CVE-2020-25459 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity none, and availability none.

Is CVE-2020-25459 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (57th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2020-25459?

CVE-2020-25459 affects Webank Federated Ai Technology Enabler. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2020-25459?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

When was CVE-2020-25459 published?

CVE-2020-25459 was published on 2022-06-16 and last updated on 2026-06-17.

CVE-2020-25459

CVE-2020-25459 is a high-severity vulnerability in Webank Federated Ai Technology Enabler with a CVSS 3.x base score of 7.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-668.

Key facts

Severity: High (CVSS 3.x base score 7.5)
CVSS v2: 5.0
EPSS exploit prediction: 1% (57th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-668
Affected product: Webank Federated Ai Technology Enabler
Published: 2022-06-16
Last modified: 2026-06-17

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.

Frequently asked questions

What is 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.
How severe is CVE-2020-25459?: CVE-2020-25459 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity none, and availability none.
Is CVE-2020-25459 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (57th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2020-25459?: CVE-2020-25459 affects Webank Federated Ai Technology Enabler. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2020-25459?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
When was CVE-2020-25459 published?: CVE-2020-25459 was published on 2022-06-16 and last updated on 2026-06-17.

References

https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139

Affected products (1)

cpe:2.3:a:webank:federated_ai_technology_enabler:*:*:*:*:*:*:*:*

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