CVE-2020-0464 Vulnerability Analysis & Exploit Details

CVE-2020-0464
Vulnerability Scoring

5.5
/10
Significant Risk

Security assessments indicate that CVE-2020-0464 presents a notable risk, potentially requiring prompt mitigation.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Local
    Vulnerability requires local system access.
  • Privileges Required: Low
    Some privileges are necessary to exploit the vulnerability.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2020-0464 Details

Status: Analyzed

Last updated: 🕠 15 Dec 2020, 17:33 UTC
Originally published on: 🕙 14 Dec 2020, 22:15 UTC

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

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

CVE-2020-0464 Vulnerability Summary

CVE-2020-0464: In resolv_cache_lookup of res_cache.cpp, there is a possible side channel information disclosure. This could lead to local information disclosure of accessed web resources with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-150371903

Assessing the Risk of CVE-2020-0464

Access Complexity Graph

The exploitability of CVE-2020-0464 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2020-0464

CVE-2020-0464 presents an accessible attack vector with minimal effort required. Restricting access controls and implementing security updates are critical to reducing exploitation risks.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2020-0464, 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.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2020-0464, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: High
    Exploiting CVE-2020-0464 can result in unauthorized access to sensitive data, severely compromising data privacy.
  • Integrity: None
    CVE-2020-0464 poses no threat to data integrity.
  • Availability: None
    CVE-2020-0464 does not impact system availability.

Exploit Prediction Scoring System (EPSS)

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

EPSS Score: 0.085% (probability of exploit)

EPSS Percentile: 39.09% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 60.91% of others.

CVE-2020-0464 References

External References

CWE Common Weakness Enumeration

CWE-203

CAPEC Common Attack Pattern Enumeration and Classification

  • Black Box Reverse Engineering CAPEC-189 An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.

Vulnerable Configurations

  • cpe:2.3:o:google:android:10.0:*:*:*:*:*:*:*
    cpe:2.3:o:google:android:10.0:*:*:*:*:*:*:*

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