binary-husky gpt_academic up to up to 3.83 cross-site request forgery

Summaryinfo

A vulnerability was found in binary-husky gpt_academic up to up to 3.83. It has been rated as problematic. This affects an unknown part. Performing a manipulation results in cross-site request forgery. This vulnerability is cataloged as CVE-2024-10819. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in binary-husky gpt_academic up to up to 3.83. It has been classified as problematic. This affects an unknown function. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity. The summary by CVE is:

A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf.

The advisory is shared at huntr.com. This vulnerability is uniquely identified as CVE-2024-10819 since 11/04/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available.

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

CPE 2.3info

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CPE 2.2info

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Entryinfo

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

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