Security Resilience

CVE-2024-10986

Binary-Husky Gpt Academic 3.83

Public PoC
Published
20 March 2025
Modified
15 October 2025
CVSS Score v3 8.8
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0083 57th percentile
Risk Priority 65 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-10986 is a high-severity Link Following (CWE-59) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Security Account Manager (T1003.002); ranked in the top 43% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Privacy and Disclosure risk domain.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-6 (Least Privilege) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by…

more

symlinks. This oversight allows attackers to read arbitrary local files from the victim server.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: gpt

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.005 Cached Domain Credentials Credential Access
Adversaries may attempt to access cached domain credentials used to allow authentication to occur in the event a domain controller is unavailable.
T1011 Exfiltration Over Other Network Medium Exfiltration
Adversaries may attempt to exfiltrate data over a different network medium than the command and control channel.
T1016 System Network Configuration Discovery Discovery
Adversaries may look for details about the network configuration and settings, such as IP and/or MAC addresses, of systems they access or through information discovery of remote systems.
T1020 Automated Exfiltration Exfiltration
Adversaries may exfiltrate data, such as sensitive documents, through the use of automated processing after being gathered during Collection.
T1021.003 Distributed Component Object Model Lateral Movement
Adversaries may use [Valid Accounts](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-25185Same product: Binary-Husky Gpt Academic
CVE-2024-12390Same product: Binary-Husky Gpt Academic
CVE-2024-10954Same product: Binary-Husky Gpt Academic
CVE-2024-10950Same product: Binary-Husky Gpt Academic
CVE-2024-10101Same product: Binary-Husky Gpt Academic
CVE-2024-31224Same product: Binary-Husky Gpt Academic
CVE-2026-0763Same product: Binary-Husky Gpt Academic
CVE-2026-0762Same product: Binary-Husky Gpt Academic
CVE-2026-0764Same product: Binary-Husky Gpt Academic
CVE-2024-11039Same product: Binary-Husky Gpt Academic

Affected Assets

binary-husky
gpt academic
3.83

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Proper enforcement of access authorizations on the resolved target resource stops a link from reaching an unintended object.

Least-privilege limits the damage an attacker can cause after following an unintended link.

Validating file-name inputs can reject or canonicalize names that resolve to links before access occurs.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 partial match
blocks

Secure SDLC practices directly require code to validate paths and avoid unsafe link following.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

removes
removes
removes
removes
removes

References