Security Resilience

CVE-2024-12392

SSRF in Binary-Husky Gpt Academic 2024-10-15

Public PoCSSRF
Published
20 March 2025
Modified
31 July 2025
CVSS Score v3 6.5
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:N/A:N
EPSS Score 0.0061 48th percentile
Risk Priority 51 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-2024-12392 is a medium-severity SSRF (CWE-918) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked at the 48th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A Server-Side Request Forgery (SSRF) vulnerability exists in binary-husky/gpt_academic version git 310122f. The application has a functionality to download papers from arxiv.org, but the URL validation is incomplete. An attacker can exploit this vulnerability to make the application access any…

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URL, including internal services, and read the response. This can be used to access data that are only accessible from the server, such as AWS metadata credentials, and can escalate local exploits to network-based attacks.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
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.
T1021.001 Remote Desktop Protocol Lateral Movement
Adversaries may use [Valid Accounts](https://attack.
T1021.002 SMB/Windows Admin Shares Lateral Movement
Adversaries may use [Valid Accounts](https://attack.
T1021.004 SSH Lateral Movement
Adversaries may use [Valid Accounts](https://attack.
T1021.007 Cloud Services Lateral Movement
Adversaries may log into accessible cloud services within a compromised environment using [Valid Accounts](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-11030Same product: Binary-Husky Gpt Academic
CVE-2024-11031Same product: Binary-Husky Gpt Academic
CVE-2024-10714Same product: Binary-Husky Gpt Academic
CVE-2025-10236Same product: Binary-Husky Gpt Academic
CVE-2024-10948Same product: Binary-Husky Gpt Academic
CVE-2024-10819Same product: Binary-Husky Gpt Academic
CVE-2025-0183Same product: Binary-Husky Gpt Academic
CVE-2024-12388Same product: Binary-Husky Gpt Academic
CVE-2024-12391Same product: Binary-Husky Gpt Academic
CVE-2024-12390Same product: Binary-Husky Gpt Academic

Affected Assets

binary-husky
gpt academic
2024-10-15

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

Mitigating Controls (NIST 800-53 r5) AI

Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.

Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.

Boundary protection limits the network reach of server-initiated requests even if SSRF 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.

DE.CM-09 partial match
blocks

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
blocks

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
blocks

Network segmentation and egress controls can limit the damage from successful SSRF requests.

PR.PS-06 partial match
blocks

Secure development practices directly include input validation and destination allow-listing that prevent SSRF.

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

References