scikit-learn up to 0.23.0 joblib.load deserialization ⚔ [Disputed]

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, was found in scikit-learn up to 0.23.0. Affected by this issue is the function joblib.load. Executing a manipulation can lead to deserialization. This vulnerability is tracked as CVE-2020-13092. The attack can be launched remotely. No exploit exists. The existence of this vulnerability is still disputed at present.

Detailsinfo

A vulnerability classified as critical was found in scikit-learn up to 0.23.0. This vulnerability affects the function joblib.load. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call.

The weakness was disclosed 05/15/2020. This vulnerability was named CVE-2020-13092 since 05/15/2020. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are known technical details, but no exploit is available.

The real existence of this vulnerability is still doubted at the moment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/15/2020 🔍
05/15/2020 +0 days 🔍
05/16/2020 +1 days 🔍
08/04/2024 +1541 days 🔍

Sourcesinfo

Status: Not defined
Disputed: 🔍

CVE: CVE-2020-13092 (🔍)
GCVE (CVE): GCVE-0-2020-13092
GCVE (VulDB): GCVE-100-155332

Entryinfo

Created: 05/16/2020 09:45
Updated: 08/04/2024 14:54
Changes: 05/16/2020 09:45 (34), 05/16/2020 09:50 (17), 08/04/2024 14:54 (18)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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