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.
CVE-2023-33979
This medium-severity CVE scores 6.5 under NVD CVSS v3. EPSS exploit probability: 0.7%, top 49% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- Lower severity and no public exploit yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 6.5
- EG Score
- 6.5(medium)
- EG Risk
- 30(Track)EG Risk 30/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity65% × 45%Exploitation1% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS PROB
- 1%
- EPSS %ILE
- 52%
- KEV
- Not listed
Published
May 31, 2023
Last Modified
March 7, 2025
References (4)
- security-advisories@githubhttps://github.com/binary-husky/gpt_academic/commit/1dcc2873d2168ad2d3d70afcb453ac1695fbdf02
- security-advisories@githubhttps://github.com/binary-husky/gpt_academic/security/advisories/GHSA-pg65-p24m-wf5g
- af854a3a-2127-422b-91ae-364da2661108https://github.com/binary-husky/gpt_academic/commit/1dcc2873d2168ad2d3d70afcb453ac1695fbdf02
- af854a3a-2127-422b-91ae-364da2661108https://github.com/binary-husky/gpt_academic/security/advisories/GHSA-pg65-p24m-wf5g
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 7× in last 7d / 28× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
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Frequently asked(5)
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Dependency Blast Radius
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