CVE-2020-20136 Vulnerability Analysis & Exploit Details

Status: Analyzed - Last modified: 15 Dec 2020, 14:22 UTC Published: 14 Dec 2020, 19:15 UTC

CVE-2020-20136
Vulnerability Scoring

9.8
/10

Attack Complexity Details

  • Attack Complexity: Low Impact
  • Attack Vector: NETWORK
  • Privileges Required: None
  • Scope: UNCHANGED
  • User Interaction: NONE

CIA Impact Definition

  • Confidentiality: HIGH IMPACT
  • Integrity: HIGH IMPACT
  • Availability: HIGH IMPACT

CVE-2020-20136 Vulnerability Summary

QuantConnect Lean versions from 2.3.0.0 to 2.4.0.1 are affected by an insecure deserialization vulnerability due to insecure configuration of TypeNameHandling property in Json.NET library.

Access Complexity Graph

Above is the Access Complexity Graph for CVE-2020-20136. It helps visualize the difficulty level and privilege requirements needed to exploit this vulnerability, providing a quick assessment of its exploitation feasibility.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2020-20136, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

Impact Analysis

Below is the Impact Analysis for CVE-2020-20136, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

Exploit Prediction Scoring System (EPSS)

The EPSS score estimates the probability that this vulnerability will be exploited in the near future.

EPSS Score: 1.473% (probability of exploit)

EPSS Percentile: 86.75% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 13.25% of others.

CVE-2020-20136 Detailed Information and External References

References

CWE

CWE-502

CAPEC

  • Object Injection CAPEC-586 An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.

Vulnerable Configurations

  • cpe:2.3:a:quantconnect:lean:2.3.0.0:*:*:*:*:*:*:*
    cpe:2.3:a:quantconnect:lean:2.3.0.0:*:*:*:*:*:*:*
  • cpe:2.3:a:quantconnect:lean:2.4.0.1:*:*:*:*:*:*:*
    cpe:2.3:a:quantconnect:lean:2.4.0.1:*:*:*:*:*:*:*

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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