CVE-2020-28975

Exp

svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.

Published: 2020-11-21 Last update: 2026-06-16 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2020-28975 is rated High Exploit Risk (78.8/100): CVSS High severity, with medium exploitation likelihood (EPSS 3.43%). Core evidence: 3 public exploit reference(s) are indexed (Exploit-DB). EPSS rose +3.18% over the last day, indicating growing attacker interest. Mandatory action: Public exploits are available—assess exposure, apply mitigations, and prioritize patching.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Public exploit references (Exploit-DB) for CVE-2020-28975

EDB-ID Source Kind Published Link
nvd_ref exploit_tag Exploit-DB ↗
nvd_ref exploit_tag Exploit-DB ↗
nvd_ref exploit_tag Exploit-DB ↗

Exploit prediction scoring system (EPSS) score for CVE-2020-28975

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-06-15 0.25% 3.43% +3.18%
2 2026-03-17 0.81% 0.25% -0.56%
3 2026-01-12 0.81%

Full EPSS history (17 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2020-28975

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
7.5 3.1 HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
3.9 3.6 [email protected]
5.0 2.0 MEDIUM
AV:N/AC:L/Au:N/C:N/I:N/A:P Click to expand
Access vector (AV:N)
Can be exploited remotely over network reachability.
Access complexity (AC:L)
Exploitation conditions are straightforward and predictable.
Authentication (AU:N)
No authentication is required.
Confidentiality impact (C:N)
No confidentiality impact.
Integrity impact (I:N)
No integrity impact.
Availability impact (A:P)
Partial availability impact.
10.0 2.9 [email protected]

Weakness enumeration for CVE-2020-28975

GitHub Security Advisory for CVE-2020-28975

OS Trackers for CVE-2020-28975

vendor priority summary link
gentoo low CVE-2020-28975: 1 GLSA(s) (202301-03), 1 atom(s) (sci-libs/scikit-learn); latest impact low. https://bugs.gentoo.org/buglist.cgi?quicksearch=CVE-2020-28975
ubuntu medium CVE-2020-28975 medium priority: Ubuntu including 1 source packages (libsvm), 13 status rows across 13 suites (bionic, focal, groovy, hirsute, impish, jammy, kinetic, lunar, mantic, noble, trusty, upstream, xenial): ignored 6, not-affected 5, DNE 1, needs-triage 1. https://ubuntu.com/security/CVE-2020-28975

Affected software / configurations for CVE-2020-28975

Vendor Product Version Raw CPE
scikit-learn scikit-learn >= 0.23.2, < 1.0.1 cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*

References for CVE-2020-28975

cvelogic Threat Intelligence