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Florence-2 Integrates with Florence-2 to enable advanced image analysis and manipulation tasks like visual question answering, image captioning, and content-based image retrieval.
0 Tools
5 Findings
6 Stars
Mar 22, 2026 Last Scanned
โ 4 high ยท 1 low findings detected
Category Deep Dive โก Prompt Injection
Prompt & context manipulation attacks
๐ณ Sub-Category Tree๐ Remediation Roadmap๐ Attack Stories๐ Compliance Overlay๐ฏ ATLAS Technique Tree๐ Maturity Model
PI-DIR Direct Input Injection
Injection via tool descriptions and parameter fields
GAP-001 Prompt Injection Coverage Gap Missing detection coverage for emerging prompt injection attack variants not addressed by current rules
A1 Prompt Injection in Tool Description partial clean 4โ โผ
B5 Prompt Injection in Parameter Description implemented clean 4โ โผ
A5 Description Length Anomaly implemented clean 4โ โผ
PI-IND Indirect / Gateway Injection
Hidden instructions via external content and tool responses
G1 Indirect Prompt Injection Gateway planned clean 4โ โผ
G3 Tool Response Format Injection implemented clean 4โ โผ
H2 Prompt Injection in MCP Initialize Response implemented clean 4โ โผ
I3 Resource Metadata Injection implemented clean 4โ โผ
PI-CTX Context Manipulation
Context window saturation and prior-approval exploitation
G4 Context Window Saturation partial clean 4โ โผ
G5 Capability Escalation via Prior Approval implemented clean 4โ โผ
PI-ENC Encoding & Obfuscation
Payload hiding via invisible chars, base64, schema fields
A7 Zero-Width Character Injection planned clean 4โ โผ
A9 Encoded Instructions in Description implemented clean 4โ โผ
J3 Full Schema Poisoning planned clean 4โ โผ
PI-TPL Template & Output Poisoning
Injection via prompt templates and runtime tool output
I6 Prompt Template Injection implemented clean 4โ โผ
J5 Tool Output Poisoning Patterns implemented clean 4โ โผ