CVE-2024-11042 Arbitrary File Delete in invoke-ai/invokeai

In invoke-ai/invokeai version v5.0.2, the web API POST /api/v1/images/delete is vulnerable to Arbitrary File Deletion. This vulnerability allows unauthorized attackers to delete arbitrary files on the server, potentially including critical or sensitive system files such as SSH keys, SQLite...

CVE-2024-11042 Arbitrary File Delete in invoke-ai/invokeai

In invoke-ai/invokeai version v5.0.2, the web API POST /api/v1/images/delete is vulnerable to Arbitrary File Deletion. This vulnerability allows unauthorized attackers to delete arbitrary files on the server, potentially including critical or sensitive system files such as SSH keys, SQLite...

CVE-2024-11042 Arbitrary File Delete in invoke-ai/invokeai

In invoke-ai/invokeai version v5.0.2, the web API POST /api/v1/images/delete is vulnerable to Arbitrary File Deletion. This vulnerability allows unauthorized attackers to delete arbitrary files on the server, potentially including critical or sensitive system files such as SSH keys, SQLite...

CVE-2024-11042

CVE-2024-11042 affects invoke-ai/invokeai v5.0.2. The web API endpoint POST /api/v1/images/delete is vulnerable to Arbitrary File Deletion , enabling an attacker to delete arbitrary server files (e.g., SSH keys, SQLite databases, configuration files), potentially compromising integrity and availa...

CVE-2024-12029

Summary: CVE-2024-12029 affects invoke-ai/invokeai prior to 5.4.3, via unsafe deserialization in the /api/v2/models/install API, leading to remote code execution when loading model files through torch.load. Affected software: invoke-ai/invokeai, versions 5.3.1 through 5.4.2 (and up to 5.4.2 per s...

CVE-2024-12029 Remote Code Execution via Model Deserialization in invoke-ai/invokeai

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious cod...

CVE-2024-12029 Remote Code Execution via Model Deserialization in invoke-ai/invokeai

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious cod...

CVE-2024-10821: Loop with Unreachable Exit Condition

A Denial of Service DoS vulnerability in the multipart request boundary processing mechanism of the Invoke-AI server version v5.0.1 allows unauthenticated attackers to cause excessive resource consumption. The server fails to handle excessive characters appended to the end of multipart boundaries...

CVE-2024-11043: Uncontrolled Resource Consumption

A Denial of Service DoS vulnerability was discovered in the /api/v1/boards/boardid endpoint of invoke-ai/invokeai version v5.0.2. This vulnerability occurs when an excessively large payload is sent in the boardname field during a PATCH request. By sending a large payload, the UI becomes...

PT-2025-12067

Name of the Vulnerable Software and Affected Versions Invoke-AI server version v5.0.1 Description A Denial of Service DoS issue exists in the multipart request boundary processing mechanism, allowing unauthenticated attackers to cause excessive resource consumption by appending excessive characte...

PT-2025-12094

Name of the Vulnerable Software and Affected Versions invoke-ai/invokeai version v5.0.2 Description The web API POST /api/v1/images/delete is vulnerable to Arbitrary File Deletion, allowing unauthorized attackers to delete arbitrary files on the server. This can include critical or sensitive syst...

CVE-2024-12029: Deserialization of Untrusted Data

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious cod...