Security researchers have discovered a new indirect prompt injection vulnerability that tricks AI browsers into performing malicious actions. Cato Networks claimed that “HashJack” is the first ...
Researchers at Unit 42, a security arm of Palo Alto Networks, have documented real-world attacks, and they’re as dumb as it gets. Hidden text on websites simply asks AI to “ignore previous ...
Network defenders must start treating AI integrations as active threat surfaces, experts have warned after revealing three new vulnerabilities in Google Gemini. Tenable dubbed its latest discovery the ...
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It's Staggeringly Easy for Hackers to Trick ChatGPT Into Leaking Your Most Personal Data
OpenAI's ChatGPT can easily be coaxed into leaking your personal data — with just a single "poisoned" document. As Wired reports, security researchers revealed at this year's Black Hat hacker ...
Google, which serves over 1.8 billion Gmail users globally, has recently issued a critical warning about a new and growing cybersecurity threat fuelled by advancements in artificial intelligence, ...
In the nascent field of AI hacking, indirect prompt injection has become a basic building block for inducing chatbots to exfiltrate sensitive data or perform other malicious actions. Developers of ...
A new report out today from cybersecurity company Miggo Security Ltd. details a now-mitigated vulnerability in Google LLC’s artificial intelligence ecosystem that allowed for a natural-language prompt ...
Attackers could soon begin using malicious instructions hidden in strategically placed images and audio clips online to manipulate responses to user prompts from large language models (LLMs) behind AI ...
Bing added a new guideline to its Bing Webmaster Guidelines named Prompt Injection. A prompt injection is a type of cyberattack against large language models (LLMs). Hackers disguise malicious inputs ...
Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...
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