Incident Score: Analysis & Impact (HID1766995749)

In this Rankiteo incident briefing, we review the HiddenLayer breach identified under incident ID HID1766995749.

The analysis begins with a detailed overview of HiddenLayer's information like the linkedin page: https://www.linkedin.com/company/hiddenlayersec, the number of followers: 15864, the industry type: Computer and Network Security and the number of employees: 165 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 752 and after the incident was 750 with a difference of -2 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on HiddenLayer and their customers.

AI-powered spam filter providers recently reported "TokenBreaker: Bypassing LLM Protections via Tokenization Manipulation", a noteworthy cybersecurity incident.

Researchers from HiddenLayer devised a new LLM attack called TokenBreaker that bypasses protection mechanisms by adding or changing a single character in prompts.

The disruption is felt across the environment, affecting AI-powered spam filters, LLMs with vulnerable tokenization methods.

In response, and began remediation that includes Use models with Unigram tokenizers or more robust tokenization methods.

The case underscores how Research/Public Disclosure, teams are taking away lessons such as LLMs using BPE or WordPiece tokenization are vulnerable to prompt manipulation attacks. Unigram tokenizers are more resistant to such attacks, and recommending next steps like Adopt LLMs with robust tokenization methods like Unigram. Implement additional layers of security for AI-powered defenses.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.