CVE-2020-4584 Vulnerability Analysis & Exploit Details

Status: Analyzed - Last modified: 29 Jun 2022, 21:16 UTC Published: 30 Oct 2020, 14:15 UTC

CVE-2020-4584
Vulnerability Scoring

7.5
/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:
  • Availability:

CVE-2020-4584 Vulnerability Summary

IBM i2 iBase 8.9.13 could allow a remote attacker to obtain sensitive information when a detailed technical error message is returned in the browser. This information could be used in further attacks against the system. IBM X-Force ID: 184574.

Access Complexity Graph

Above is the Access Complexity Graph for CVE-2020-4584. 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-2020-4584, 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-2020-4584, 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: 0.397% (probability of exploit)

EPSS Percentile: 73.56% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 26.439999999999998% of others.

CVE-2020-4584 Detailed Information and External References

References

CWE

CWE-209

CAPEC

  • Fuzzing for application mapping CAPEC-215 An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash.
  • Padding Oracle Crypto Attack CAPEC-463 An adversary is able to efficiently decrypt data without knowing the decryption key if a target system leaks data on whether or not a padding error happened while decrypting the ciphertext. A target system that leaks this type of information becomes the padding oracle and an adversary is able to make use of that oracle to efficiently decrypt data without knowing the decryption key by issuing on average 128*b calls to the padding oracle (where b is the number of bytes in the ciphertext block). In addition to performing decryption, an adversary is also able to produce valid ciphertexts (i.e., perform encryption) by using the padding oracle, all without knowing the encryption key.
  • Query System for Information CAPEC-54 An adversary, aware of an application's location (and possibly authorized to use the application), probes an application's structure and evaluates its robustness by submitting requests and examining responses. Often, this is accomplished by sending variants of expected queries in the hope that these modified queries might return information beyond what the expected set of queries would provide.
  • Blind SQL Injection CAPEC-7 Blind SQL Injection results from an insufficient mitigation for SQL Injection. Although suppressing database error messages are considered best practice, the suppression alone is not sufficient to prevent SQL Injection. Blind SQL Injection is a form of SQL Injection that overcomes the lack of error messages. Without the error messages that facilitate SQL Injection, the adversary constructs input strings that probe the target through simple Boolean SQL expressions. The adversary can determine if the syntax and structure of the injection was successful based on whether the query was executed or not. Applied iteratively, the adversary determines how and where the target is vulnerable to SQL Injection.

Vulnerable Configurations

  • cpe:2.3:a:ibm:i2_ibase:8.9.13:*:*:*:*:*:*:*
    cpe:2.3:a:ibm:i2_ibase:8.9.13:*:*:*:*:*:*:*

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:N/A:N

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