What is the CVSS score of CVE-2023-33979?

CVE-2023-33979 has a CVSS 3.1 base score of 6.5 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.7%.

Is there a patch available for CVE-2023-33979?

Yes, a patch is available for CVE-2023-33979. Update the affected software to the latest version immediately.

Docker CVE-2023-33979

MEDIUM

Information Exposure (CWE-200)

2023-05-31 security-advisories@github.com

Information Disclosure Docker Gpt Academic

6.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.5 MEDIUM

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

May 31, 2023 - 19:15 nvd

MEDIUM 6.5

DescriptionNVD

gpt_academic provides a graphical interface for ChatGPT/GLM. A vulnerability was found in gpt_academic 3.37 and prior. This issue affects some unknown processing of the component Configuration File Handler. The manipulation of the argument file leads to information disclosure. Since no sensitive files are configured to be off-limits, sensitive information files in some working directories can be read through the /file route, leading to sensitive information leakage. This affects users that uses file configurations via config.py, config_private.py, Dockerfile. A patch is available at commit 1dcc2873d2168ad2d3d70afcb453ac1695fbdf02. As a workaround, one may use environment variables instead of config*.py files to configure this project, or use docker-compose installation to configure this project.

AnalysisAI

gpt_academic provides a graphical interface for ChatGPT/GLM. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. This Exposure of Sensitive Information vulnerability could allow attackers to access sensitive data that should not be disclosed.

Technical ContextAI

This vulnerability is classified as Exposure of Sensitive Information (CWE-200), which allows attackers to access sensitive data that should not be disclosed. gpt_academic provides a graphical interface for ChatGPT/GLM. A vulnerability was found in gpt_academic 3.37 and prior. The manipulation of the argument file leads to information disclosure. Since no sensitive files are configured to be off-limits, sensitive information files in some working directories can be read through the /file route, leading to sensitive information leakage. This affects users that uses file configurations via config.py, config_private.py, Dockerfile. A patch is available at commit 1dcc2873d2168ad2d3d70afcb453ac1695fbdf02. As a workaround, one may use environment variables instead of config*.py files to configure this project, or use docker-compose installation to configure this project. Affected products include: Binary-Husky Gpt Academic.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.