0x49BF0056: Multiple Model Guardrail Jailbreak via "Weighted

Multiple Model Guardrail Jailbreak via "Weighted Reaction Graph" Tactic

Case GUID: 49bf0056-a0d0-49f9-941f-86bbe2c6a7c9

Summary

A Guardrail Jailbreak vulnerability has been discovered affecting multiple models. The specific flaw exploits academic framing combined with deceptive, highly structured formatting that rephrases prohibited requests as pharmaceutical process analysis using weighted graphs, formal specifications, and synonymous technical language, and allows the attacker to obtain restricted procedural information that would normally be blocked when requested directly.

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Metadata

Models and Test Scores

	Copyrights	Harmful Substances		Illicit Substances
	Harry Potter	Anthrax	Nerve Agent	Crystal Meth	Fentanyl
Alibaba Qwen Turbo
Cohere Command R
Google Gemini 2.5 Flash
Google Gemini 3.5 Flash
Meta LLaMa 3.3
Meta LLaMa 4 Maverick
Meta LLaMa 4 Scout
Mistral Mistral 8B
Mistral Mistral Large
OpenAI GPT-4.1 mini
OpenAI GPT-4o
Twitter / X Grok 3

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Social Impact Score

Level 3: Significant Risk

Violations at this level present a tangible risk to public safety or social well-being, often related to dangerous but not highly restricted content.

Example: Bypassing guardrails to obtain instructions for creating illicit substances, such as recreational drugs or substances with moderate harm potential. Leakage of private personal data such as Social Security number or private medical.

Potential Consequences: Potential health impacts on a small scale, significant regulatory interest, and the need for stricter AI guardrails.

Taxonomies

Stratagems

This involves clever and unorthodox tactics designed to deceive the model, often requiring an understanding of its operational mechanics to achieve desired outcomes.

Meta Prompting

This technique focuses on manipulating the prompting process itself to influence the model's behavior and responses, often by employing higher-level prompting strategies.

Deceptive Formatting

A prompt injection in the most pure sense, formatting the user prompt to fabricate the appearance of system instructions, a database query, its own prediction, or some other source of input a guard railed AI system might be expecting, causing it to behave in insecure ways based on the fabricated context from an adversarially formatted user prompt.

Language

This category focuses on the use of specific linguistic techniques, such as prompt injection or stylization, to influence the model's output.

Stylizing

This strategy involves using a method of questioning that encourages critical thinking and exposes biases by subtly referencing identity elements without using direct slurs or toxic language, thereby signaling to the model about certain groups of people.

Synonymous Language

This technique involves using synonyms or alternative phrasing to convey the same meaning while potentially evading detection or filtering mechanisms. By substituting words with their synonyms, users can manipulate the model's understanding and responses, allowing for the generation of content that aligns with the user's intent but may not trigger the model's safety protocols. This approach can be particularly effective in contexts where certain terms are restricted or monitored.

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Severity

Low

Security Boundary

Guardrail Jailbreak

Models

Alibaba Qwen Turbo

Cohere Command R

Google Gemini 2.5 Flash

Google Gemini 2.5 Pro

Google Gemini 3.5 Flash

Meta LLaMa 3.3

Meta LLaMa 4 Maverick

Meta LLaMa 4 Scout

Mistral Mistral 8B

Mistral Mistral Large

OpenAI GPT-4.1 mini

OpenAI GPT-4o

Twitter / X Grok 3

Disclosed On

2025-07-14 (12 months)

Disclosure Policy

Published On

2026-04-06 (3 months)

Credit

Alper-Ender Osman