binary-husky gpt_academic up to 3.91 link following

Summaryinfo

A vulnerability classified as critical has been found in binary-husky gpt_academic up to 3.91. Affected by this vulnerability is an unknown functionality. Performing a manipulation results in link following. This vulnerability was named CVE-2025-25185. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, was found in binary-husky gpt_academic up to 3.91. This affects some unknown processing. The manipulation with an unknown input leads to a link following vulnerability. CWE is classifying the issue as CWE-59. The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource. This is going to have an impact on confidentiality. The summary by CVE is:

GPT Academic provides interactive interfaces for large language models. In 3.91 and earlier, GPT Academic does not properly account for soft links. An attacker can create a malicious file as a soft link pointing to a target file, then package this soft link file into a tar.gz file and upload it. Subsequently, when accessing the decompressed file from the server, the soft link will point to the target file on the victim server. The vulnerability allows attackers to read all files on the server.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2025-25185 since 02/03/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/03/2025).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

• binary-husky

Name

• gpt_academic

Version

• 3.0
• 3.1
• 3.2
• 3.3
• 3.4
• 3.5
• 3.6
• 3.7
• 3.8
• 3.9
• 3.10
• 3.11
• 3.12
• 3.13
• 3.14
• 3.15
• 3.16
• 3.17
• 3.18
• 3.19
• 3.20
• 3.21
• 3.22
• 3.23
• 3.24
• 3.25
• 3.26
• 3.27
• 3.28
• 3.29
• 3.30
• 3.31
• 3.32
• 3.33
• 3.34
• 3.35
• 3.36
• 3.37
• 3.38
• 3.39
• 3.40
• 3.41
• 3.42
• 3.43
• 3.44
• 3.45
• 3.46
• 3.47
• 3.48
• 3.49
• 3.50
• 3.51
• 3.52
• 3.53
• 3.54
• 3.55
• 3.56
• 3.57
• 3.58
• 3.59
• 3.60
• 3.61
• 3.62
• 3.63
• 3.64
• 3.65
• 3.66
• 3.67
• 3.68
• 3.69
• 3.70
• 3.71
• 3.72
• 3.73
• 3.74
• 3.75
• 3.76
• 3.77
• 3.78
• 3.79
• 3.80
• 3.81
• 3.82
• 3.83
• 3.84
• 3.85
• 3.86
• 3.87
• 3.88
• 3.89
• 3.90
• 3.91

Website

• Product: https://github.com/binary-husky/gpt_academic/

CPE 2.3info

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Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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