Insecure handling of OpenAI's ChatML JSON schemas can allow attackers to inject their own system roles into the messages array. This silently overrides developer-supplied instructions, coercing the model into unintended behaviors. Attackers can also abuse the system role to call hidden or unauthorized tools or functions that the
When reset tokens rely on predictable data, such as hashing a simple timestamp with MD5, they can lead to account takeovers. Read on if you want to protect your application’s password recovery functionality without compromising user convenience. Modern web applications almost always feature some form of password recovery or
AI Red Teaming should differentiate between security and safety to effectively address the unique challenges posed by AI systems, ultimately ensuring that they are secure by design and safe to use.
Insecure handling of OpenAI's ChatML JSON schemas can allow attackers to inject their own system roles into the messages array. This silently overrides developer-supplied instructions, coercing the model into unintended behaviors. Attackers can also abuse the system role to call hidden or unauthorized tools or functions that the
When reset tokens rely on predictable data, such as hashing a simple timestamp with MD5, they can lead to account takeovers. Read on if you want to protect your application’s password recovery functionality without compromising user convenience. Modern web applications almost always feature some form of password recovery or
Information stored in sourcemap files can lead to major security breaches. If you’re looking to keep your production environment safe without sacrificing the benefits of modern build pipelines, read on.
This guide covers the ESC8 Attack, a high-severity attack vector in Active Directory Certificate Services (AD CS) that exploits the Web Enrollment feature alongside NTLM relay attacks.
While Red Team exercises are invaluable for mirroring adversary behavior, they can be time-consuming and expensive. This panel will fix it.
AI Red Teaming should differentiate between security and safety to effectively address the unique challenges posed by AI systems, ultimately ensuring that they are secure by design and safe to use.