AI Sec Watch

GitHub Copilot can be customized using instructions from a .github/copilot-instructions.md file in your repository, but security researchers at Pillar Security have identified risks with such custom instruction files (similar to risks found in other AI tools like Cursor). GitHub has responded by updating their Web UI to highlight invisible Unicode characters (characters hidden in text that don't display visibly), referencing both the Pillar Security research and concerns about ASCII smuggling (hiding malicious code in plain-text files using character tricks).

BentoML v1.4.2 contains a Remote Code Execution (RCE) vulnerability caused by insecure deserialization (unsafe handling of data conversion from storage format back into code objects), which allows unauthenticated users to execute arbitrary code on the server through an unsafe code segment in serde.py. This is a critical security flaw in a Python library used for building AI model serving systems.

CVE-2025-3136 is a memory corruption vulnerability found in PyTorch 2.6.0, specifically in a function that manages GPU memory allocation. The vulnerability requires local access to exploit and has been publicly disclosed, though it is rated as medium severity with a CVSS score (a 0-10 rating of how severe a vulnerability is) of 4.8.

CVE-2025-3121 is a memory corruption vulnerability (where a program accidentally writes data to wrong memory locations) found in PyTorch 2.6.0, specifically in the torch.jit.jit_module_from_flatbuffer function. An attacker with local access (meaning they can run code on the same computer) could exploit this vulnerability, and the exploit details have been publicly disclosed.

CVE-2025-31564 is a SQL injection vulnerability (a type of attack where an attacker inserts malicious database commands into user input) found in the Ai Auto Tool Content Writing Assistant WordPress plugin, versions up to 2.1.7. The vulnerability allows blind SQL injection (SQL attacks where the attacker cannot see direct results but can infer information through application behavior), potentially letting attackers access or manipulate the database.

CVE-2025-31843 is a missing authorization vulnerability (a security flaw where the software fails to properly check if a user has permission to perform an action) in the Wilson OpenAI Tools plugin for WordPress and WooCommerce that affects versions up to 2.1.5. The vulnerability allows attackers to exploit incorrectly configured access controls, meaning they can perform actions they shouldn't be allowed to do.

PyTorch 2.6.0 contains a critical vulnerability (CVE-2025-3001) in the torch.lstm_cell function that causes memory corruption (damage to data stored in a computer's memory) through local manipulation. The vulnerability requires local access to exploit and has been publicly disclosed.

A critical vulnerability (CVE-2025-3000) was found in PyTorch 2.6.0 affecting the torch.jit.script function, which causes memory corruption (damage to data stored in a computer's RAM). The vulnerability can be exploited locally (by someone with access to the same machine) and has already been publicly disclosed, making it a known risk.

CVE-2025-2999 is a critical vulnerability in PyTorch 2.6.0 affecting the torch.nn.utils.rnn.unpack_sequence function, which causes memory corruption (unsafe access to computer memory). An attacker must have local access (ability to run code on the same machine) to exploit this bug, and the vulnerability has already been made public.