CVE-2026-108753

Agnaistic agnai through 1.0.555 contains a hard-coded credentials vulnerability in self-host.docker-compose.yml, which sets a fixed admin password and public JWT secret. Unauthenticated attackers can log in as admin or sign their own JWT with admin: true to impersonate users, reset passwords, and...

CVE-2026-108753

Versions of Agnaistic agnai through 1.0.555 are affected by a hard-coded credentials vulnerability located in the self-host.docker-compose.yml file. The flaw involves a fixed admin password and a public JWT secret. Unauthenticated attackers can leverage these credentials to log in as an administr...

CVE-2026-108753 Agnaistic agnai through 1.0.555 Hard-Coded Credentials in self-host Docker Compose

Agnaistic agnai through 1.0.555 contains a hard-coded credentials vulnerability in self-host.docker-compose.yml, which sets a fixed admin password and public JWT secret. Unauthenticated attackers can log in as admin or sign their own JWT with admin: true to impersonate users, reset passwords, and...

EUVD-2026-96918

Agnaistic agnai through 1.0.555 contains a hard-coded credentials vulnerability in self-host.docker-compose.yml, which sets a fixed admin password and public JWT secret. Unauthenticated attackers can log in as admin or sign their own JWT with admin: true to impersonate users, reset passwords, and...

EUVD-2024-2790

Malicious code in bioql PyPI...

EUVD-2024-2805

Malicious code in bioql PyPI...

CVE-2024-47170

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to read arbitrary JSON files at attacker-chosen locations on the server. This issue can lead to unauthorized access to sensitive information an...

CVE-2024-47169

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload arbitrary files to attacker-chosen locations on the server, including JavaScript, enabling the execution of commands within those...

Agnai vulnerable to Relative Path Traversal in Image Upload

Summary A vulnerability has been discovered in Agnai that permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended directories, including overwriting of existing images which may be used for...

GHSA-G54F-66MW-HV66 Agnai vulnerable to Relative Path Traversal in Image Upload

Summary A vulnerability has been discovered in Agnai that permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended directories, including overwriting of existing images which may be used for...

CVE-2024-47169

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload arbitrary files to attacker-chosen locations on the server, including JavaScript, enabling the execution of commands within those...

CVE-2024-47171

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended...

CVE-2024-47170

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to read arbitrary JSON files at attacker-chosen locations on the server. This issue can lead to unauthorized access to sensitive information an...

GHSA-H355-HM5H-CM8H Agnai File Disclosure Vulnerability: JSON via Path Traversal

CWE-35: Path Traversal https://cwe.mitre.org/data/definitions/35.html CVSSv3.1 4.3 - Medium CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N Summary A vulnerability has been discovered in Agnai that permits attackers to read arbitrary JS...

Agnai File Disclosure Vulnerability: JSON via Path Traversal

CWE-35: Path Traversal https://cwe.mitre.org/data/definitions/35.html CVSSv3.1 4.3 - Medium CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N Summary A vulnerability has been discovered in Agnai that permits attackers to read arbitrary JS...

Agnai vulnerable to Remote Code Execution via JS Upload using Directory Traversal

Summary A vulnerability has been discovered in Agnai that permits attackers to upload arbitrary files to attacker-chosen locations on the server, including JavaScript, enabling the execution of commands within those files. This issue could result in unauthorized access, full server compromise, da...

GHSA-MPCH-89GM-HM83 Agnai vulnerable to Remote Code Execution via JS Upload using Directory Traversal

Summary A vulnerability has been discovered in Agnai that permits attackers to upload arbitrary files to attacker-chosen locations on the server, including JavaScript, enabling the execution of commands within those files. This issue could result in unauthorized access, full server compromise, da...

CVE-2024-47171

Summary : CVE-2024-47171 affects Agnai (multi-user/multi-bot chat system). Versions prior to 1.0.330 are vulnerable to an image-upload flaw where attackers can place files at attacker-chosen server locations, potentially overwriting existing images or placing files in unintended directories. The ...

CVE-2024-47171 Agnai vulnerable to Relative Path Traversal in Image Upload

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended...

CVE-2024-47171

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload image files at attacker-chosen location on the server. This issue can lead to image file uploads to unauthorized or unintended...