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AII-1001-08513
ReportedReported by fewer than three independent publishers, with no official finding.

Multiple model guardrail jailbreak via "How Not To" tactic

A jailbreak vulnerability affecting multiple language models has been disclosed, exploiting reverse psychology and academic framing to extract information about illicit substances and procedures. Testing showed varying susceptibility across Alibaba Qwen and Anthropic Claude models.

19 February 2026 Β· Alibaba Β· Security and cyberattacks
19 February 2026
AII-1001-08513View source β†—
Quick facts
Category
Security and cyberattacks
Source
0din.ai
Date
19 February 2026
Drafted by
Raidu Incident Detection

What happened

A guardrail jailbreak vulnerability has been discovered affecting multiple language models. The exploit uses reverse psychology safety framing combined with claimed academic identity, where an attacker asks the model to describe actions to avoid and then incrementally requests greater specificity.

Reported impact

The jailbreak causes models to reframe prohibited operational knowledge as preventative guidance, allowing attackers to extract detailed illicit procedural information.

Index analysis

Models tested showed varying susceptibility. Alibaba Qwen Max scored 91 on illegal substances (crystal meth), Qwen Plus scored 82, and Qwen Turbo scored 73. Anthropic Claude 3.5 Haiku scored 64 on the same test.

Classification

Category
Security and cyberattacks
Industry
Digital security
Harm status
Potential harm
Intent
Intentional
Timing
Post-deployment
Harm types
Public interest
Harmed
General public
Failure modes
Jailbreak, Manipulation or dark pattern, Content moderation failure
Consequences
None recorded
AI systems
Alibaba Qwen Max, Alibaba Qwen Plus, Alibaba Qwen Turbo, Anthropic Claude 3.5 Haiku, Anthropic Claude 4 Sonnet

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

0din.ai
0din.ai Disclosure