CVE-2020-11485 Vulnerability Analysis & Exploit Details

Status: Analyzed - Last modified: 05 Nov 2020, 20:18 UTC Published: 29 Oct 2020, 04:15 UTC

CVE-2020-11485
Vulnerability Scoring

8.8
/10

Attack Complexity Details

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

CIA Impact Definition

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

CVE-2020-11485 Vulnerability Summary

NVIDIA DGX servers, all DGX-1 with BMC firmware versions prior to 3.38.30, contains a Cross-Site Request Forgery (CSRF) vulnerability in the AMI BMC firmware in which the web application does not sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request, which can lead to information disclosure or code execution.

Access Complexity Graph

Above is the Access Complexity Graph for CVE-2020-11485. 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-2020-11485, 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-2020-11485, 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: 0.084% (probability of exploit)

EPSS Percentile: 38.39% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 61.61% of others.

CVE-2020-11485 Detailed Information and External References

References

CWE

CWE-352

CAPEC

  • JSON Hijacking (aka JavaScript Hijacking) CAPEC-111 An attacker targets a system that uses JavaScript Object Notation (JSON) as a transport mechanism between the client and the server (common in Web 2.0 systems using AJAX) to steal possibly confidential information transmitted from the server back to the client inside the JSON object by taking advantage of the loophole in the browser's Same Origin Policy that does not prohibit JavaScript from one website to be included and executed in the context of another website.
  • Cross-Domain Search Timing CAPEC-462 An attacker initiates cross domain HTTP / GET requests and times the server responses. The timing of these responses may leak important information on what is happening on the server. Browser's same origin policy prevents the attacker from directly reading the server responses (in the absence of any other weaknesses), but does not prevent the attacker from timing the responses to requests that the attacker issued cross domain.
  • Cross Site Identification CAPEC-467 An attacker harvests identifying information about a victim via an active session that the victim's browser has with a social networking site. A victim may have the social networking site open in one tab or perhaps is simply using the "remember me" feature to keep their session with the social networking site active. An attacker induces a payload to execute in the victim's browser that transparently to the victim initiates a request to the social networking site (e.g., via available social network site APIs) to retrieve identifying information about a victim. While some of this information may be public, the attacker is able to harvest this information in context and may use it for further attacks on the user (e.g., spear phishing).
  • Cross Site Request Forgery CAPEC-62 An attacker crafts malicious web links and distributes them (via web pages, email, etc.), typically in a targeted manner, hoping to induce users to click on the link and execute the malicious action against some third-party application. If successful, the action embedded in the malicious link will be processed and accepted by the targeted application with the users' privilege level. This type of attack leverages the persistence and implicit trust placed in user session cookies by many web applications today. In such an architecture, once the user authenticates to an application and a session cookie is created on the user's system, all following transactions for that session are authenticated using that cookie including potential actions initiated by an attacker and simply "riding" the existing session cookie.

Vulnerable Configurations

  • cpe:2.3:o:intel:bmc_firmware:-:*:*:*:*:*:*:*
    cpe:2.3:o:intel:bmc_firmware:-:*:*:*:*:*:*:*
  • cpe:2.3:o:intel:bmc_firmware:1.06.06:*:*:*:*:*:*:*
    cpe:2.3:o:intel:bmc_firmware:1.06.06:*:*:*:*:*:*:*
  • cpe:2.3:o:intel:bmc_firmware:2.47:*:*:*:*:*:*:*
    cpe:2.3:o:intel:bmc_firmware:2.47:*:*:*:*:*:*:*
  • cpe:2.3:h:nvidia:dgx-1:-:*:*:*:*:*:*:*
    cpe:2.3:h:nvidia:dgx-1:-:*:*:*:*:*:*:*

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

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

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