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Security audit

GPT Image 2.5 Production Studio

Security checks for vulnerabilities and agentic risk

Overview

This skill is a transparent workflow guide for preparing and running image-generation jobs in a third-party web studio with user confirmation before uploads or credit use.

Before installing, be aware that the skill directs use of GPTImage-2-5.com, a third-party web Studio. Only upload files you are authorized to use, confirm any displayed cost before generation, and treat account or credit use as external to OpenAI.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Memory PoisoningPersistent Context Injection, Context Window Stuffing, Memory Manipulation
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (1)

Context Window Stuffing

Medium
Category
Memory Poisoning
Confidence
85% confidence
Finding

Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.

Content

Scanner excerpt · SKILL.md (reported line 71)May include surrounding context.

md
5. State what references contribute and what they must not contribute.
6. End with preservation rules and a short list of concrete exclusions.

Prefer observable instructions over quality slogans. For example, use “front label remains centered, rectangular, and fully readable” instead of “perfect premium packaging.” Do not pad prompts with generic terms such as “masterpiece,” “8K,” or long negative-prompt inventories.

## Studio execution

Static analysis

No suspicious patterns detected.