What is the CVSS score of CVE-2024-10948?

CVE-2024-10948 has a CVSS 3.0 base score of 6.5 (Medium). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.1%.

Which versions of Gpt Academic are affected by CVE-2024-10948?

CVE-2024-10948 presents notable security risk, a path traversal vulnerability rated CVSS 6.5. This could allow unauthorized file access. Proof-of-concept code is publicly available.

Is there a public PoC exploit available for CVE-2024-10948?

Yes, a public proof-of-concept exploit is available for CVE-2024-10948. Prioritise patching immediately. EPSS: 0.1%.

How to fix or mitigate CVE-2024-10948?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Review file handling controls.

Gpt Academic CVE-2024-10948

MEDIUM

Path Traversal (CWE-22)

2025-03-20 security@huntr.dev

Path Traversal File Upload Gpt Academic

6.5

CVSS 3.0 · 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:3.0/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

Analysis Generated

Mar 28, 2026 - 18:32 vuln.today

PoC Detected

Jul 29, 2025 - 18:49 vuln.today

Public exploit code

CVE Published

Mar 20, 2025 - 10:15 nvd

MEDIUM 6.5

DescriptionCVE.org

A vulnerability in the upload function of binary-husky/gpt_academic allows any user to read arbitrary files on the system, including sensitive files such as config.py. This issue affects the latest version of the product. An attacker can exploit this vulnerability by intercepting the websocket request during file upload and replacing the file path with the path of the file they wish to read. The server then copies the file to the private_upload folder and provides the path to the copied file, which can be accessed via a GET request. This vulnerability can lead to the exposure of sensitive system files, potentially including credentials, configuration files, or sensitive user data.

AnalysisAI

A vulnerability in the upload function of binary-husky/gpt_academic allows any user to read arbitrary files on the system, including sensitive files such as config.py. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Path Traversal (CWE-22), which allows attackers to access files and directories outside the intended path. A vulnerability in the upload function of binary-husky/gpt_academic allows any user to read arbitrary files on the system, including sensitive files such as config.py. An attacker can exploit this vulnerability by intercepting the websocket request during file upload and replacing the file path with the path of the file they wish to read. The server then copies the file to the private_upload folder and provides the path to the copied file, which can be accessed via a GET request. This vulnerability can lead to the exposure of sensitive system files, potentially including credentials, configuration files, or sensitive user data. Affected products include: Binary-Husky Gpt Academic.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Validate and canonicalize file paths. Use chroot or sandboxing. Reject input containing path separators or '../' sequences.