CVE-2020-25200 Vulnerability Analysis & Exploit Details

Status: Modified - Last modified: 04 Aug 2024, 16:15 UTC Published: 01 Oct 2020, 18:15 UTC

CVE-2020-25200
Vulnerability Scoring

5.3
/10

Attack Complexity Details

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

CIA Impact Definition

  • Confidentiality: Low Impact
  • Integrity:
  • Availability:

CVE-2020-25200 Vulnerability Summary

Pritunl 1.29.2145.25 allows attackers to enumerate valid VPN usernames via a series of /auth/session login attempts. Initially, the server will return error 401. However, if the username is valid, then after 20 login attempts, the server will start responding with error 400. Invalid usernames will receive error 401 indefinitely. Note: This has been disputed by the vendor as not a vulnerability. They argue that this is an intended design

Access Complexity Graph

Above is the Access Complexity Graph for CVE-2020-25200. 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-2020-25200, 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-2020-25200, 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: 0.182% (probability of exploit)

EPSS Percentile: 56.38% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 43.62% of others.

CVE-2020-25200 Detailed Information and External References

References

CWE

CWE-203

CAPEC

  • 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:a:pritunl:pritunl:1.29.2145.25:*:*:*:*:*:*:*
    cpe:2.3:a:pritunl:pritunl:1.29.2145.25:*:*:*:*:*:*:*

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

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

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